Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, 1st Edition

  • Published By:
  • ISBN-10: 1799812057
  • ISBN-13: 9781799812050
  • DDC: 610.285
  • 2071 Pages | eBook
  • Original Copyright 2020 | Published/Released March 2020
  • This publication's content originally published in print form: 2020

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Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. This reference source examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Topics include data security and privacy, health informatics, and predictive analytics. For doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in the connections between data analytics in the field of medicine.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Associate Editors.
Editorial Advisory Board.
List of Contributors.
Table of Contents.
1: Fundamental Concepts and Theories.
2: A Guideline to Use Activity Theory for Collaborative Healthcare Information Systems Design.
3: A Review of Type 1 Diabetes (T1D): To Assist Patients’ and Carers’ Understanding of This Condition.
4: For Better Healthcare Mining Health Data.
5: Population Health Management and the Science of Individuality.
6: Development and Design Methodologies.
7: A Yes/No Answer Generator Based on Sentiment-Word Scores in Biomedical Question Answering.
8: Towards an Integrated Electronic Medical Records System for Quality Healthcare in Ghana: An Exploratory Factor Analysis.
9: SOA Governance in Healthcare: Beyond Early Ideas to a Structured Framework.
10: KIIPF - An Integrated Inter-Operable Knowledge Management Process Framework for Healthcare: Implementation in Pakistani Healthcare Industry.
11: Semantic Health Mediation and Access Control Manager for Interoperability Among Healthcare Systems.
12: A Conceptual Framework for an Extension Access Control Models in Saudi Arabia Healthcare Systems.
13: Strategies of Virtual Screening in Medicinal Chemistry.
14: Relationships between Models of Genetic Regulatory Networks with Emphasis on Discrete State Stochastic Models.
15: Integral Equation Formulations and Related Numerical Solution Methods in Some Biomedical Applications of Electromagnetic Fields: Transcranial Magnetic Stimulation (TMS), Nerve Fiber Stimulation.
16: Efficient Algorithm for Answering Fuzzy Medical Requests in Pervasive Healthcare Information Systems.
17: Development of Portable Medical Electronic Device for Infant Cry Recognition: A Primitive Experimental Study.
18: Efficient String Matching Algorithm for Searching Large DNA and Binary Texts.
19: Concept Attribute Labeling and Context-Aware Named Entity Recognition in Electronic Health Records.
20: Knowledge Management Process-Oriented Strategy for Healthcare Organizations.
21: Use-Case Driven Approach for a Pragmatic Implementation of Interoperability in eHealth.
22: Agent-Based Modelling in Multicellular Systems Biology.
23: The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework.
24: Predictive Modeling of Surgical Site Infections Using Sparse Laboratory Data.
25: Towards Semantic Interoperability in Health Data Management Facilitating Process Mining.
26: A Secure Robust and Privacy Enhanced Mobile Healthcare Framework.
27: An Intelligent Multi-Objective Framework of Pervasive Information Computing.
28: Tools and Technologies.
29: Detecting Human Diseases Relatedness: A Spreading Activation Approach Over Ontologies.
30: An Artificial Neural Network Classification of Prescription Nonadherence.