Methods in Biomedical Informatics

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.

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  • Author : Indra Neil Sarkar
  • Publisher : Academic Press
  • Pages : 592 pages
  • ISBN : 0124016847
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMethods in Biomedical Informatics

Methods in Biomedical Informatics

Methods in Biomedical Informatics
  • Author : Indra Neil Sarkar
  • Publisher : Academic Press
  • Release : 03 September 2013
GET THIS BOOKMethods in Biomedical Informatics

Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic

Evaluation Methods in Medical Informatics

Evaluation Methods in Medical Informatics
  • Author : Charles P. Friedman,Jeremy C. Wyatt
  • Publisher : Springer Science & Business Media
  • Release : 14 March 2013
GET THIS BOOKEvaluation Methods in Medical Informatics

As director of a training program in medical informatics, I have found that one of the most frequent inquiries from graduate students is, "Although I am happy with my research focus and the work I have done, how can I design and carry out a practical evaluation that proves the value of my contribution?" Informatics is a multifaceted, interdisciplinary field with research that ranges from theoretical developments to projects that are highly applied and intended for near-term use in clinical

Methods in Medical Informatics

Methods in Medical Informatics
  • Author : Jules J. Berman
  • Publisher : CRC Press
  • Release : 22 September 2010
GET THIS BOOKMethods in Medical Informatics

Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clini

Bioinformatics Methods in Clinical Research

Bioinformatics Methods in Clinical Research
  • Author : Rune Matthiesen
  • Publisher : Humana Press
  • Release : 01 March 2012
GET THIS BOOKBioinformatics Methods in Clinical Research

Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
  • Publisher : Springer Nature
  • Release : 14 November 2019
GET THIS BOOKDeep Learning Techniques for Biomedical and Health Informatics

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : Warren J. Ewens,Gregory R. Grant
  • Publisher : Springer Science & Business Media
  • Release : 30 March 2006
GET THIS BOOKStatistical Methods in Bioinformatics

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main

Evaluation Methods in Biomedical Informatics

Evaluation Methods in Biomedical Informatics
  • Author : Charles P. Friedman,Jeremy Wyatt
  • Publisher : Springer Science & Business Media
  • Release : 05 January 2006
GET THIS BOOKEvaluation Methods in Biomedical Informatics

Heavily updated and revised from the successful first edition Appeals to a wide range of informatics professionals, from students to on-site medical information system administrators Includes case studies and real world system evaluations References and self-tests for feedback and motivation after each chapter Great for teaching purposes, the book is recommended for courses offered at universities such as Columbia University Precise definition and use of terms

Handbook of Evaluation Methods for Health Informatics

Handbook of Evaluation Methods for Health Informatics
  • Author : Jytte Brender McNair
  • Publisher : Elsevier
  • Release : 17 January 2006
GET THIS BOOKHandbook of Evaluation Methods for Health Informatics

The Handbook of Evaluation Methods for Health Informatics provides a complete compendium of methods for evaluation of IT-based systems and solutions within healthcare. Emphasis is entirely on assessment of the IT-system within its organizational environment. The author provides a coherent and complete assessment of methods addressing interactions with and effects of technology at the organizational, psychological, and social levels. It offers an explanation of the terminology and theoretical foundations underlying the methodological analysis presented here. The author carefully guides the

Methodology for Assessment of Medical IT-based Systems

Methodology for Assessment of Medical IT-based Systems
  • Author : Jytte Brender
  • Publisher : IOS Press
  • Release : 25 May 1997
GET THIS BOOKMethodology for Assessment of Medical IT-based Systems

10.2 The Role and Contents of the URD in an Assessment Perspective -- 10.3 The Enterprise Model -- 10.4 The Normative Model -- 10.5 Assessment of the User Requirements Document -- 10.6 Discussion -- 11 Dynamic Aspects of the Assessment Methodology -- 11.1 Dynamic Aspects of IT-Development and Application -- 11.2 Adaptation of Frames of Reference for Assessment Activities -- 11.3 Feed-forward Loops -- 11.4 Support of Context Dependent Assessment -- 11.5 Conclusion -- 12 The Dynamic Assessment Methodology -- 12.1 Philosophy -- 12.2 Application Area -- 12.3 Operationalisation of the Methodology -- 12.4 Applicable Methods

Smart Computational Intelligence in Biomedical and Health Informatics

Smart Computational Intelligence in Biomedical and Health Informatics
  • Author : Amit Kumar Manocha,Mandeep Singh,Shruti Jain,Vishal Jain
  • Publisher : CRC Press
  • Release : 27 September 2021
GET THIS BOOKSmart Computational Intelligence in Biomedical and Health Informatics

Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
  • Author : Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
  • Publisher : CRC Press
  • Release : 11 February 2022
GET THIS BOOKDeep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions

Translational Biomedical Informatics

Translational Biomedical Informatics
  • Author : Bairong Shen,Haixu Tang,Xiaoqian Jiang
  • Publisher : Springer
  • Release : 31 October 2016
GET THIS BOOKTranslational Biomedical Informatics

This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data

Principles of Biomedical Informatics

Principles of Biomedical Informatics
  • Author : Ira J. Kalet, PhD
  • Publisher : Academic Press
  • Release : 26 September 2013
GET THIS BOOKPrinciples of Biomedical Informatics

This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: • tree structured data, interval trees, and

Introduction to Mathematical Methods in Bioinformatics

Introduction to Mathematical Methods in Bioinformatics
  • Author : Alexander Isaev
  • Publisher : Springer Science & Business Media
  • Release : 19 September 2006
GET THIS BOOKIntroduction to Mathematical Methods in Bioinformatics

This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.