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Text Mining of Web-Based Medical Content

Amy Neustein

Author : Amy Neustein
Publisher : Walter de Gruyter GmbH & Co KG
Page : 286 pages
File Size : 55,8 Mb
Release : 2014-10-09
Category : Computers
ISBN : 9781614513902

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Text Mining of Web-Based Medical Content by Amy Neustein Pdf

• Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. • Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. • Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: • Mining Biomedical Literature and Clinical Narratives • Medication Information Extraction • Machine Learning Techniques for Mining Medical Search Queries • Detecting the Level of Personal Health Information Revealed in Social Media • Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter • Health Dialogue Systems for Improving Access to Online Content • Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired • Semantic-based Visual Information Retrieval for Mining Radiographic Image Data • Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions

Advanced Applications of Natural Language Processing for Performing Information Extraction

Mário Rodrigues,António Teixeira

Author : Mário Rodrigues,António Teixeira
Publisher : Springer
Page : 75 pages
File Size : 46,5 Mb
Release : 2015-05-06
Category : Computers
ISBN : 9783319155630

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Advanced Applications of Natural Language Processing for Performing Information Extraction by Mário Rodrigues,António Teixeira Pdf

This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. · Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area · Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages · Describes a generic architecture that can learn how to extract information for a given application domain

Clinical Text Mining

Hercules Dalianis

Author : Hercules Dalianis
Publisher : Springer
Page : 192 pages
File Size : 48,9 Mb
Release : 2018-05-14
Category : Computers
ISBN : 9783319785035

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Clinical Text Mining by Hercules Dalianis Pdf

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Clinical Text Mining

Hercules Dalianis

Author : Hercules Dalianis
Publisher : Unknown
Page : 192 pages
File Size : 46,6 Mb
Release : 2020-10-08
Category : Medical
ISBN : 1013269217

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Clinical Text Mining by Hercules Dalianis Pdf

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book's closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Technological Innovation for Connected Cyber Physical Spaces

Luis M. Camarinha-Matos,Filipa Ferrada

Author : Luis M. Camarinha-Matos,Filipa Ferrada
Publisher : Springer Nature
Page : 309 pages
File Size : 45,7 Mb
Release : 2023-06-24
Category : Computers
ISBN : 9783031360077

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Technological Innovation for Connected Cyber Physical Spaces by Luis M. Camarinha-Matos,Filipa Ferrada Pdf

This book constitutes the refereed proceedings of the 14th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2023, held in Monte da Caparica, Portugal, during July 5-7, 2022. The 22 full papers presented were carefully reviewed and selected from 47 submissions. The papers cover the following topics: energy communities; smart energy and power systems; intelligent manufacturing; health and biomedical information systems; intelligent computational systems; and electronics and communications.

Computational Science – ICCS 2021

Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot

Author : Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot
Publisher : Springer Nature
Page : 609 pages
File Size : 49,5 Mb
Release : 2021-06-11
Category : Computers
ISBN : 9783030779641

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Computational Science – ICCS 2021 by Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot Pdf

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Effective Solution of Ill-posed Inverse Problems with Stabilized Forward Solver” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Biomedical Engineering Systems and Technologies

Xuesong Ye,Filipe Soares,Elisabetta De Maria,Pedro Gómez Vilda,Federico Cabitza,Ana Fred,Hugo Gamboa

Author : Xuesong Ye,Filipe Soares,Elisabetta De Maria,Pedro Gómez Vilda,Federico Cabitza,Ana Fred,Hugo Gamboa
Publisher : Springer Nature
Page : 612 pages
File Size : 55,8 Mb
Release : 2021-03-29
Category : Medical
ISBN : 9783030723798

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Biomedical Engineering Systems and Technologies by Xuesong Ye,Filipe Soares,Elisabetta De Maria,Pedro Gómez Vilda,Federico Cabitza,Ana Fred,Hugo Gamboa Pdf

This book constitutes extended and revised versions of the selected papers from the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, held in Valletta, Malta, in February 2020. The 29 revised and extended full papers presented were carefully reviewed and selected from a total of 363 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatic

Speech and Automata in Health Care

Amy Neustein

Author : Amy Neustein
Publisher : Walter de Gruyter GmbH & Co KG
Page : 352 pages
File Size : 43,5 Mb
Release : 2014-11-10
Category : Technology & Engineering
ISBN : 9781614519607

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Speech and Automata in Health Care by Amy Neustein Pdf

Examines various speech technologies deployed in healthcare service robots to maximize the robot's ability to interpret user input. Demonstrates how robot anthropomorphic features and etiquette in behavior promotes user-positive emotions, acceptance of robots, and compliance with robot requests. Analyzes how multimodal medical-service robots and other cyber-physical systems can reduce mistakes and mishaps in the operating room. Evaluates various input methods for improving acceptance of robots in the older adult population. Presents case studies of cognitively and socially engaging robots in the long-term care setting for helping older adults with activities of daily living and in the pediatric setting for helping children with autism spectrum conditions and metabolic disorders. Speech and Automata in Health Care forges new ground by closely analyzing how three separate disciplines - speech technology, robotics, and medical/surgical/assistive care - intersect with one another, resulting in an innovative way of diagnosing and treating both juvenile and adult illnesses and conditions. This includes the use of speech-enabled robotics to help the elderly population cope with common problems associated with aging caused by the diminution in their sensory, auditory and motor capabilities. By examining the emerging nexus of speech, automata, and health care, the authors demonstrate the exciting potential of automata, both speech-driven and multimodal, to affect the healthcare delivery system so that it better meets the needs of the populations it serves. This book provides both empirical research findings and incisive literature reviews that demonstrate some of the more novel uses of speech-enabled and multimodal automata in the operating room, hospital ward, long-term care facility, and in the home. Studies backed by major universities, research institutes, and by EU-funded collaborative projects are debuted in this volume. This volume provides a wealth of timely material for industrial engineers, speech scientists, computational linguists, and for signal processing and intelligent systems design experts. Topics include: Spoken Interaction with Healthcare Robots Service Robot Feature Effects on Patient Acceptance/Emotional Response Designing Embodied and Virtual Agents for the Operating Room The Emerging Role of Robotics for Personal Health Management in the Older-Adult Population Why Input Methods for Robots that Serve the Older Adult Are Critical for Usability Socially and Cognitively Engaging Robots in the Long-Term Care Setting Voice-Enabled Assistive Robots for Managing Autism Spectrum Conditions ASR and TTS for Voice-Controlled Robot Interactions in Treating Children with Metabolic Disorders

Clinical Text Mining

Hercules Dalianis

Author : Hercules Dalianis
Publisher : Springer
Page : 181 pages
File Size : 52,6 Mb
Release : 2018-06-05
Category : Computers
ISBN : 3319785028

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Clinical Text Mining by Hercules Dalianis Pdf

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons

Cerrito, Patricia

Author : Cerrito, Patricia
Publisher : IGI Global
Page : 410 pages
File Size : 54,7 Mb
Release : 2009-08-31
Category : Computers
ISBN : 9781605667539

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Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons by Cerrito, Patricia Pdf

The quest for quality in healthcare has led to attempts to develop models to determine which providers have the highest quality in healthcare, with the best outcomes for patients. Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons discusses the general practice of defining a patient severity index in order to make risk adjustments to compare patient outcomes across multiple providers with the intent of ranking the providers in terms of quality. This innovative reference source, valuable to medical practitioners, researchers, and academicians, brings together research from across the globe focusing on how severity indices are generally defined when determining the best outcome for patient

Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021

Sazzad Hossain,Md. Shahadat Hossain,M. Shamim Kaiser,Satya Prasad Majumder,Kanad Ray

Author : Sazzad Hossain,Md. Shahadat Hossain,M. Shamim Kaiser,Satya Prasad Majumder,Kanad Ray
Publisher : Springer Nature
Page : 756 pages
File Size : 50,6 Mb
Release : 2022-10-03
Category : Technology & Engineering
ISBN : 9789811924453

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Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 by Sazzad Hossain,Md. Shahadat Hossain,M. Shamim Kaiser,Satya Prasad Majumder,Kanad Ray Pdf

This book includes papers in the research area of artificial intelligence, robotics and automation, IoT smart agriculture, data analysis and cloud computing, communication and technology, and signal and natural language processing. The book is a collection of research papers presented at the First International Conference on Fourth Industrial Revolution and Beyond (IC4IR 2021) organized by University Grants Commission of Bangladesh in association with IEEE Computer Society Bangladesh Chapter and Bangladesh Computer Society during December 10–11, 2021.

Health Web Science

Kerstin Denecke

Author : Kerstin Denecke
Publisher : Springer
Page : 168 pages
File Size : 52,7 Mb
Release : 2015-08-31
Category : Medical
ISBN : 9783319205823

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Health Web Science by Kerstin Denecke Pdf

This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media’s role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany

Olaf Dössel,Wolfgang C. Schlegel

Author : Olaf Dössel,Wolfgang C. Schlegel
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 51,5 Mb
Release : 2010-01-06
Category : Technology & Engineering
ISBN : 9783642038938

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World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany by Olaf Dössel,Wolfgang C. Schlegel Pdf

Present Your Research to the World! The World Congress 2009 on Medical Physics and Biomedical Engineering – the triennial scientific meeting of the IUPESM - is the world’s leading forum for presenting the results of current scientific work in health-related physics and technologies to an international audience. With more than 2,800 presentations it will be the biggest conference in the fields of Medical Physics and Biomedical Engineering in 2009! Medical physics, biomedical engineering and bioengineering have been driving forces of innovation and progress in medicine and healthcare over the past two decades. As new key technologies arise with significant potential to open new options in diagnostics and therapeutics, it is a multidisciplinary task to evaluate their benefit for medicine and healthcare with respect to the quality of performance and therapeutic output. Covering key aspects such as information and communication technologies, micro- and nanosystems, optics and biotechnology, the congress will serve as an inter- and multidisciplinary platform that brings together people from basic research, R&D, industry and medical application to discuss these issues. As a major event for science, medicine and technology the congress provides a comprehensive overview and in–depth, first-hand information on new developments, advanced technologies and current and future applications. With this Final Program we would like to give you an overview of the dimension of the congress and invite you to join us in Munich! Olaf Dössel Congress President Wolfgang C.

Text Mining and Analysis

Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla

Author : Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla
Publisher : SAS Institute
Page : 340 pages
File Size : 44,8 Mb
Release : 2014-11-22
Category : Computers
ISBN : 9781612907871

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Text Mining and Analysis by Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla Pdf

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.

Comprehensive Biomedical Physics

Anonim

Author : Anonim
Publisher : Newnes
Page : 4052 pages
File Size : 53,5 Mb
Release : 2014-07-25
Category : Science
ISBN : 9780444536334

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Comprehensive Biomedical Physics by Anonim Pdf

Comprehensive Biomedical Physics, Ten Volume Set is a new reference work that provides the first point of entry to the literature for all scientists interested in biomedical physics. It is of particularly use for graduate and postgraduate students in the areas of medical biophysics. This Work is indispensable to all serious readers in this interdisciplinary area where physics is applied in medicine and biology. Written by leading scientists who have evaluated and summarized the most important methods, principles, technologies and data within the field, Comprehensive Biomedical Physics is a vital addition to the reference libraries of those working within the areas of medical imaging, radiation sources, detectors, biology, safety and therapy, physiology, and pharmacology as well as in the treatment of different clinical conditions and bioinformatics. This Work will be valuable to students working in all aspect of medical biophysics, including medical imaging and biomedical radiation science and therapy, physiology, pharmacology and treatment of clinical conditions and bioinformatics. The most comprehensive work on biomedical physics ever published Covers one of the fastest growing areas in the physical sciences, including interdisciplinary areas ranging from advanced nuclear physics and quantum mechanics through mathematics to molecular biology and medicine Contains 1800 illustrations, all in full color

Text Mining Of Web Based Medical Content

Text Mining of Web-Based Medical Content by Amy Neustein Pdf

Advanced Applications of Natural Language Processing for Performing Information Extraction by Mário Rodrigues,António Teixeira Pdf

Clinical Text Mining by Hercules Dalianis Pdf

Clinical Text Mining by Hercules Dalianis Pdf

Technological Innovation for Connected Cyber Physical Spaces by Luis M. Camarinha-Matos,Filipa Ferrada Pdf

Computational Science – ICCS 2021 by Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot Pdf

Biomedical Engineering Systems and Technologies by Xuesong Ye,Filipe Soares,Elisabetta De Maria,Pedro Gómez Vilda,Federico Cabitza,Ana Fred,Hugo Gamboa Pdf

Speech and Automata in Health Care by Amy Neustein Pdf

Clinical Text Mining by Hercules Dalianis Pdf

Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons by Cerrito, Patricia Pdf

Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 by Sazzad Hossain,Md. Shahadat Hossain,M. Shamim Kaiser,Satya Prasad Majumder,Kanad Ray Pdf

Health Web Science by Kerstin Denecke Pdf

World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany by Olaf Dössel,Wolfgang C. Schlegel Pdf

Text Mining and Analysis by Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla Pdf

Comprehensive Biomedical Physics by Anonim Pdf

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