{"product_id":"ontology-based-information-retrieval-for-healthcare-systems-hardback-9781119640486","title":"Ontology-Based Information Retrieval for Healthcare Systems (Hardback) 9781119640486","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eOntology-Based Information Retrieval for Healthcare Systems\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eVishal Jain (Edited by), Ritika Wason (Edited by), Jyotir Moy Chatterjee (Edited by), Dac-Nhuong Le (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119640486, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 15 September 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e384 pages\u003cbr\u003e1 x 1 x 1 cm, 0.454 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eWith the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data.\u003c\/p\u003e \u003cp\u003eThis unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSemantic data integration in e-health care systems\u003c\/li\u003e \u003cli\u003eKeyword-based medical information retrieval\u003c\/li\u003e \u003cli\u003eOntology-based query retrieval support for e-health implementation\u003c\/li\u003e \u003cli\u003eOntologies as a database management system technology for medical information retrieval\u003c\/li\u003e \u003cli\u003eInformation integration using contextual knowledge and ontology merging\u003c\/li\u003e \u003cli\u003eCollaborative ontology-based information indexing and retrieval in health informatics\u003c\/li\u003e \u003cli\u003eAn ontology-based text mining framework for vulnerability assessment in health and social care\u003c\/li\u003e \u003cli\u003eAn ontology-based multi-agent system for matchmaking patient healthcare monitoring\u003c\/li\u003e \u003cli\u003eA multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems\u003c\/li\u003e \u003cli\u003eA methodology for ontology based multi agent systems development\u003c\/li\u003e \u003cli\u003eOntology based systems for clinical systems: validity, ethics and regulation\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003eAcknowledgment xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Role of Ontology in Health Care 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSonia Singla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Ontology in Diabetes 3\u003c\/p\u003e \u003cp\u003e1.2.1 Ontology Process 4\u003c\/p\u003e \u003cp\u003e1.2.2 Impediments of the Present Investigation 5\u003c\/p\u003e \u003cp\u003e1.3 Role of Ontology in Cardiovascular Diseases 6\u003c\/p\u003e \u003cp\u003e1.4 Role of Ontology in Parkinson Diseases 8\u003c\/p\u003e \u003cp\u003e1.4.1 The Spread of Disease With Age and Onset of Disease 10\u003c\/p\u003e \u003cp\u003e1.4.2 Cost of PD for Health Care, Household 11\u003c\/p\u003e \u003cp\u003e1.4.3 Treatment and Medicines 11\u003c\/p\u003e \u003cp\u003e1.5 Role of Ontology in Depression 13\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 15\u003c\/p\u003e \u003cp\u003e1.7 Future Scope 15\u003c\/p\u003e \u003cp\u003eReferences 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 A Study on Basal Ganglia Circuit and Its Relation With Movement Disorders 19\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eDinesh Bhatia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Anatomy and Functioning of Basal Ganglia 21\u003c\/p\u003e \u003cp\u003e2.2.1 The Striatum-Major Entrance to Basal Ganglia Circuitry 22\u003c\/p\u003e \u003cp\u003e2.2.2 Direct and Indirect Striatofugal Projections 23\u003c\/p\u003e \u003cp\u003e2.2.3 The STN: Another Entrance to Basal Ganglia Circuitry 25\u003c\/p\u003e \u003cp\u003e2.3 Movement Disorders 26\u003c\/p\u003e \u003cp\u003e2.3.1 Parkinson Disease 26\u003c\/p\u003e \u003cp\u003e2.3.2 Dyskinetic Disorder 27\u003c\/p\u003e \u003cp\u003e2.3.3 Dystonia 28\u003c\/p\u003e \u003cp\u003e2.4 Effect of Basal Ganglia Dysfunctioning on Movement Disorders 29\u003c\/p\u003e \u003cp\u003e2.5 Conclusion and Future Scope 31\u003c\/p\u003e \u003cp\u003eReferences 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Extraction of Significant Association Rules Using Pre- and Post-Mining Techniques—An Analysis 37\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eM. Nandhini and S. N. Sivanandam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 38\u003c\/p\u003e \u003cp\u003e3.2 Background 39\u003c\/p\u003e \u003cp\u003e3.2.1 Interestingness Measures 39\u003c\/p\u003e \u003cp\u003e3.2.2 Pre-Mining Techniques 40\u003c\/p\u003e \u003cp\u003e3.2.2.1 Candidate Set Reduction Schemes 40\u003c\/p\u003e \u003cp\u003e3.2.2.2 Optimal Threshold Computation Schemes 41\u003c\/p\u003e \u003cp\u003e3.2.2.3 Weight-Based Mining Schemes 42\u003c\/p\u003e \u003cp\u003e3.2.3 Post-Mining Techniques 42\u003c\/p\u003e \u003cp\u003e3.2.3.1 Rule Pruning Schemes 43\u003c\/p\u003e \u003cp\u003e3.2.3.2 Schemes Using Knowledge Base 43\u003c\/p\u003e \u003cp\u003e3.3 Methodology 44\u003c\/p\u003e \u003cp\u003e3.3.1 Data Preprocessing 44\u003c\/p\u003e \u003cp\u003e3.3.2 Pre-Mining 46\u003c\/p\u003e \u003cp\u003e3.3.2.1 Pre-Mining Technique 1: Optimal Support and Confidence Threshold Value Computation Using PSO 46\u003c\/p\u003e \u003cp\u003e3.3.2.2 Pre-Mining Technique 2: Attribute Weight Computation Using IG Measure 48\u003c\/p\u003e \u003cp\u003e3.3.3 Association Rule Generation 50\u003c\/p\u003e \u003cp\u003e3.3.3.1 ARM Preliminaries 50\u003c\/p\u003e \u003cp\u003e3.3.3.2 WARM Preliminaries 52\u003c\/p\u003e \u003cp\u003e3.3.4 Post-Mining 56\u003c\/p\u003e \u003cp\u003e3.3.4.1 Filters 56\u003c\/p\u003e \u003cp\u003e3.3.4.2 Operators 58\u003c\/p\u003e \u003cp\u003e3.3.4.3 Rule Schemas 58\u003c\/p\u003e \u003cp\u003e3.4 Experiments and Results 59\u003c\/p\u003e \u003cp\u003e3.4.1 Parameter Settings for PSO-Based Pre-Mining Technique 60\u003c\/p\u003e \u003cp\u003e3.4.2 Parameter Settings for PAW-Based Pre-Mining Technique 60\u003c\/p\u003e \u003cp\u003e3.5 Conclusions 63\u003c\/p\u003e \u003cp\u003eReferences 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Ontology in Medicine as a Database Management System 69\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eShobowale K. O.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 70\u003c\/p\u003e \u003cp\u003e4.1.1 Ontology Engineering and Development Methodology 72\u003c\/p\u003e \u003cp\u003e4.2 Literature Review on Medical Data Processing 72\u003c\/p\u003e \u003cp\u003e4.3 Information on Medical Ontology 75\u003c\/p\u003e \u003cp\u003e4.3.1 Types of Medical Ontology 75\u003c\/p\u003e \u003cp\u003e4.3.2 Knowledge Representation 76\u003c\/p\u003e \u003cp\u003e4.3.3 Methodology of Developing Medical Ontology 76\u003c\/p\u003e \u003cp\u003e4.3.4 Medical Ontology Standards 77\u003c\/p\u003e \u003cp\u003e4.4 Ontologies as a Knowledge-Based System 78\u003c\/p\u003e \u003cp\u003e4.4.1 Domain Ontology in Medicine 79\u003c\/p\u003e \u003cp\u003e4.4.2 Brief Introduction of Some Medical Standards 81\u003c\/p\u003e \u003cp\u003e4.4.2.1 Medical Subject Headings (MeSH) 81\u003c\/p\u003e \u003cp\u003e4.4.2.2 Medical Dictionary for Regulatory Activities (MedDRA) 81\u003c\/p\u003e \u003cp\u003e4.4.2.3 Medical Entities Dictionary (MED) 81\u003c\/p\u003e \u003cp\u003e4.4.3 Reusing Medical Ontology 82\u003c\/p\u003e \u003cp\u003e4.4.4 Ontology Evaluation 85\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 86\u003c\/p\u003e \u003cp\u003e4.6 Future Scope 86\u003c\/p\u003e \u003cp\u003eReferences 87\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Using IoT and Semantic Web Technologies for Healthcare and Medical Sector 91\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eNikita Malik and Sanjay Kumar Malik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 92\u003c\/p\u003e \u003cp\u003e5.1.1 Significance of Healthcare and Medical Sector and Its Digitization 92\u003c\/p\u003e \u003cp\u003e5.1.2 e-Health and m-Health 92\u003c\/p\u003e \u003cp\u003e5.1.3 Internet of Things and Its Use 94\u003c\/p\u003e \u003cp\u003e5.1.4 Semantic Web and Its Technologies 96\u003c\/p\u003e \u003cp\u003e5.2 Use of IoT in Healthcare and Medical Domain 98\u003c\/p\u003e \u003cp\u003e5.2.1 Scope of IoT in Healthcare and Medical Sector 98\u003c\/p\u003e \u003cp\u003e5.2.2 Benefits of IoT in Healthcare and Medical Systems 100\u003c\/p\u003e \u003cp\u003e5.2.3 IoT Healthcare Challenges and Open Issues 100\u003c\/p\u003e \u003cp\u003e5.3 Role of SWTs in Healthcare Services 101\u003c\/p\u003e \u003cp\u003e5.3.1 Scope and Benefits of Incorporating Semantics in Healthcare 101\u003c\/p\u003e \u003cp\u003e5.3.2 Ontologies and Datasets for Healthcare and Medical Domain 103\u003c\/p\u003e \u003cp\u003e5.3.3 Challenges in the Use of SWTs in Healthcare Sector 104\u003c\/p\u003e \u003cp\u003e5.4 Incorporating IoT and\/or SWTs in Healthcare and Medical Sector 106\u003c\/p\u003e \u003cp\u003e5.4.1 Proposed Architecture or Framework or Model 106\u003c\/p\u003e \u003cp\u003e5.4.2 Access Mechanisms or Approaches 108\u003c\/p\u003e \u003cp\u003e5.4.3 Applications or Systems 109\u003c\/p\u003e \u003cp\u003e5.5 Healthcare Data Analytics Using Data Mining and Machine Learning 110\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 112\u003c\/p\u003e \u003cp\u003e5.7 Future Work 113\u003c\/p\u003e \u003cp\u003eReferences 113\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 An Ontological Model, Design, and Implementation of CSPF for Healthcare 117\u003cbr\u003e\u003c\/b\u003e\u003ci\u003ePooja Mohan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 117\u003c\/p\u003e \u003cp\u003e6.2 Related Work 119\u003c\/p\u003e \u003cp\u003e6.3 Mathematical Representation of CSPF Model 122\u003c\/p\u003e \u003cp\u003e6.3.1 Basic Sets of CSPF Model 123\u003c\/p\u003e \u003cp\u003e6.3.2 Conditional Contextual Security and Privacy Constraints 123\u003c\/p\u003e \u003cp\u003e6.3.3 CSPF Model States C\u003csub\u003esetofStates\u003c\/sub\u003e 124\u003c\/p\u003e \u003cp\u003e6.3.4 Permission C\u003csub\u003epermission\u003c\/sub\u003e 124\u003c\/p\u003e \u003cp\u003e6.3.5 Security Evaluation Function (SEF\u003csub\u003econtexts\u003c\/sub\u003e) 124\u003c\/p\u003e \u003cp\u003e6.3.6 Secure State 125\u003c\/p\u003e \u003cp\u003e6.3.7 CSPF Model Operations 125\u003c\/p\u003e \u003cp\u003e6.3.7.1 Administrative Operations 125\u003c\/p\u003e \u003cp\u003e6.3.7.2 Users’ Operations 127\u003c\/p\u003e \u003cp\u003e6.4 Ontological Model 127\u003c\/p\u003e \u003cp\u003e6.4.1 Development of Class Hierarchy 127\u003c\/p\u003e \u003cp\u003e6.4.1.1 Object Properties of Sensor Class 129\u003c\/p\u003e \u003cp\u003e6.4.1.2 Data Properties 129\u003c\/p\u003e \u003cp\u003e6.4.1.3 The Individuals 129\u003c\/p\u003e \u003cp\u003e6.5 The Design of Context-Aware Security and Privacy Model for Wireless Sensor Network 129\u003c\/p\u003e \u003cp\u003e6.6 Implementation 133\u003c\/p\u003e \u003cp\u003e6.7 Analysis and Results 135\u003c\/p\u003e \u003cp\u003e6.7.1 Inference Time\/Latency\/Query Response Time vs. No. of Policies 135\u003c\/p\u003e \u003cp\u003e6.7.2 Average Inference Time vs. Contexts 136\u003c\/p\u003e \u003cp\u003e6.8 Conclusion and Future Scope 137\u003c\/p\u003e \u003cp\u003eReferences 138\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Ontology-Based Query Retrieval Support for E-Health Implementation 143\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAatif Ahmad Khan and Sanjay Kumar Malik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 143\u003c\/p\u003e \u003cp\u003e7.1.1 Health Care Record Management 144\u003c\/p\u003e \u003cp\u003e7.1.1.1 Electronic Health Record 144\u003c\/p\u003e \u003cp\u003e7.1.1.2 Electronic Medical Record 145\u003c\/p\u003e \u003cp\u003e7.1.1.3 Picture Archiving and Communication System 145\u003c\/p\u003e \u003cp\u003e7.1.1.4 Pharmacy Systems 145\u003c\/p\u003e \u003cp\u003e7.1.2 Information Retrieval 145\u003c\/p\u003e \u003cp\u003e7.1.3 Ontology 146\u003c\/p\u003e \u003cp\u003e7.2 Ontology-Based Query Retrieval Support 146\u003c\/p\u003e \u003cp\u003e7.3 E-Health 150\u003c\/p\u003e \u003cp\u003e7.3.1 Objectives and Scope 150\u003c\/p\u003e \u003cp\u003e7.3.2 Benefits of E-Health 151\u003c\/p\u003e \u003cp\u003e7.3.3 E-Health Implementation 151\u003c\/p\u003e \u003cp\u003e7.4 Ontology-Driven Information Retrieval for E-Health 154\u003c\/p\u003e \u003cp\u003e7.4.1 Ontology for E-Heath Implementation 155\u003c\/p\u003e \u003cp\u003e7.4.2 Frameworks for Information Retrieval Using Ontology for E-Health 157\u003c\/p\u003e \u003cp\u003e7.4.3 Applications of Ontology-Driven Information Retrieval in Health Care 158\u003c\/p\u003e \u003cp\u003e7.4.4 Benefits and Limitations 160\u003c\/p\u003e \u003cp\u003e7.5 Discussion 160\u003c\/p\u003e \u003cp\u003e7.6 Conclusion 164\u003c\/p\u003e \u003cp\u003eReferences 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Ontology-Based Case Retrieval in an E-Mental Health Intelligent Information System 167\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGeorgia Kaoura, Konstantinos Kovas and Basilis Boutsinas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 167\u003c\/p\u003e \u003cp\u003e8.2 Literature Survey 170\u003c\/p\u003e \u003cp\u003e8.3 Problem Identified 173\u003c\/p\u003e \u003cp\u003e8.4 Proposed Solution 174\u003c\/p\u003e \u003cp\u003e8.4.1 The PAVEFS Ontology 174\u003c\/p\u003e \u003cp\u003e8.4.2 Knowledge Base 179\u003c\/p\u003e \u003cp\u003e8.4.3 Reasoning 180\u003c\/p\u003e \u003cp\u003e8.4.4 User Interaction 182\u003c\/p\u003e \u003cp\u003e8.5 Pros and Cons of Solution 183\u003c\/p\u003e \u003cp\u003e8.5.1 Evaluation Methodology and Results 183\u003c\/p\u003e \u003cp\u003e8.5.2 Evaluation Methodology 185\u003c\/p\u003e \u003cp\u003e8.5.2.1 Evaluation Tools 186\u003c\/p\u003e \u003cp\u003e8.5.2.2 Results 187\u003c\/p\u003e \u003cp\u003e8.6 Conclusions 189\u003c\/p\u003e \u003cp\u003e8.7 Future Scope 190\u003c\/p\u003e \u003cp\u003eReferences 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Ontology Engineering Applications in Medical Domain 193\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMariam Gawich and Marco Alfonse\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 193\u003c\/p\u003e \u003cp\u003e9.2 Ontology Activities 195\u003c\/p\u003e \u003cp\u003e9.2.1 Ontology Learning 195\u003c\/p\u003e \u003cp\u003e9.2.2 Ontology Matching 195\u003c\/p\u003e \u003cp\u003e9.2.3 Ontology Merging (Unification) 195\u003c\/p\u003e \u003cp\u003e9.2.4 Ontology Validation 196\u003c\/p\u003e \u003cp\u003e9.2.5 Ontology Verification 196\u003c\/p\u003e \u003cp\u003e9.2.6 Ontology Alignment 196\u003c\/p\u003e \u003cp\u003e9.2.7 Ontology Annotation 196\u003c\/p\u003e \u003cp\u003e9.2.8 Ontology Evaluation 196\u003c\/p\u003e \u003cp\u003e9.2.9 Ontology Evolution 196\u003c\/p\u003e \u003cp\u003e9.3 Ontology Development Methodologies 197\u003c\/p\u003e \u003cp\u003e9.3.1 TOVE 197\u003c\/p\u003e \u003cp\u003e9.3.2 Methontology 198\u003c\/p\u003e \u003cp\u003e9.3.3 Brusa \u003ci\u003eet al. \u003c\/i\u003eMethodology 198\u003c\/p\u003e \u003cp\u003e9.3.4 UPON Methodology 199\u003c\/p\u003e \u003cp\u003e9.3.5 Uschold and King Methodology 200\u003c\/p\u003e \u003cp\u003e9.4 Ontology Languages 203\u003c\/p\u003e \u003cp\u003e9.4.1 RDF-RDF Schema 203\u003c\/p\u003e \u003cp\u003e9.4.2 OWL 205\u003c\/p\u003e \u003cp\u003e9.4.3 OWL 2 205\u003c\/p\u003e \u003cp\u003e9.5 Ontology Tools 208\u003c\/p\u003e \u003cp\u003e9.5.1 Apollo 208\u003c\/p\u003e \u003cp\u003e9.5.2 NeON 209\u003c\/p\u003e \u003cp\u003e9.5.3 Protégé 210\u003c\/p\u003e \u003cp\u003e9.6 Ontology Engineering Applications in Medical Domain 212\u003c\/p\u003e \u003cp\u003e9.6.1 Ontology-Based Decision Support System (DSS) 213\u003c\/p\u003e \u003cp\u003e9.6.1.1 OntoDiabetic 213\u003c\/p\u003e \u003cp\u003e9.6.1.2 Ontology-Based CDSS for Diabetes Diagnosis 214\u003c\/p\u003e \u003cp\u003e9.6.1.3 Ontology-Based Medical DSS within E-Care Telemonitoring Platform 215\u003c\/p\u003e \u003cp\u003e9.6.2 Medical Ontology in the Dynamic Healthcare Environment 216\u003c\/p\u003e \u003cp\u003e9.6.3 Knowledge Management Systems 217\u003c\/p\u003e \u003cp\u003e9.6.3.1 Ontology-Based System for Cancer Diseases 217\u003c\/p\u003e \u003cp\u003e9.6.3.2 Personalized Care System for Chronic Patients at Home 218\u003c\/p\u003e \u003cp\u003e9.7 Ontology Engineering Applications in Other Domains 219\u003c\/p\u003e \u003cp\u003e9.7.1 Ontology Engineering Applications in E-Commerce 219\u003c\/p\u003e \u003cp\u003e9.7.1.1 Automated Approach to Product Taxonomy Mapping in E-Commerce 219\u003c\/p\u003e \u003cp\u003e9.7.1.2 LexOnt Matching Approach 221\u003c\/p\u003e \u003cp\u003e9.7.2 Ontology Engineering Applications in Social Media Domain 222\u003c\/p\u003e \u003cp\u003e9.7.2.1 Emotive Ontology Approach 222\u003c\/p\u003e \u003cp\u003e9.7.2.2 Ontology-Based Approach for Social Media Analysis 224\u003c\/p\u003e \u003cp\u003e9.7.2.3 Methodological Framework for Semantic Comparison of Emotional Values 225\u003c\/p\u003e \u003cp\u003eReferences 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Ontologies on Biomedical Informatics 233\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMarco Alfonse and Mariam Gawich\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 233\u003c\/p\u003e \u003cp\u003e10.2 Defining Ontology 234\u003c\/p\u003e \u003cp\u003e10.3 Biomedical Ontologies and Ontology-Based Systems 235\u003c\/p\u003e \u003cp\u003e10.3.1 MetaMap 235\u003c\/p\u003e \u003cp\u003e10.3.2 GALEN 236\u003c\/p\u003e \u003cp\u003e10.3.3 NIH-CDE 236\u003c\/p\u003e \u003cp\u003e10.3.4 LOINC 237\u003c\/p\u003e \u003cp\u003e10.3.5 Current Procedural Terminology (CPT) 238\u003c\/p\u003e \u003cp\u003e10.3.6 Medline Plus Connect 238\u003c\/p\u003e \u003cp\u003e10.3.7 Gene Ontology 239\u003c\/p\u003e \u003cp\u003e10.3.8 UMLS 240\u003c\/p\u003e \u003cp\u003e10.3.9 SNOMED-CT 240\u003c\/p\u003e \u003cp\u003e10.3.10 OBO Foundry 240\u003c\/p\u003e \u003cp\u003e10.3.11 Textpresso 240\u003c\/p\u003e \u003cp\u003e10.3.12 National Cancer Institute Thesaurus 241\u003c\/p\u003e \u003cp\u003eReferences 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Machine Learning Techniques Best for Large Data Prediction: A Case Study of Breast Cancer Categorical Data: k-Nearest Neighbors 245\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eYagyanath Rimal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 246\u003c\/p\u003e \u003cp\u003e11.2 R Programming 250\u003c\/p\u003e \u003cp\u003e11.3 Conclusion 255\u003c\/p\u003e \u003cp\u003eReferences 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Need of Ontology-Based Systems in Healthcare System 257\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eTshepiso Larona Mokgetse\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 258\u003c\/p\u003e \u003cp\u003e12.2 What is Ontology? 259\u003c\/p\u003e \u003cp\u003e12.3 Need for Ontology in Healthcare Systems 260\u003c\/p\u003e \u003cp\u003e12.3.1 Primary Healthcare 262\u003c\/p\u003e \u003cp\u003e12.3.1.1 Semantic Web System 262\u003c\/p\u003e \u003cp\u003e12.3.2 Emergency Services 263\u003c\/p\u003e \u003cp\u003e12.3.2.1 Service-Oriented Architecture 263\u003c\/p\u003e \u003cp\u003e12.3.2.2 IOT Ontology 264\u003c\/p\u003e \u003cp\u003e12.3.3 Public Healthcare 265\u003c\/p\u003e \u003cp\u003e12.3.3.1 IOT Data Model 265\u003c\/p\u003e \u003cp\u003e12.3.4 Chronic Disease Healthcare 266\u003c\/p\u003e \u003cp\u003e12.3.4.1 Clinical Reminder System 266\u003c\/p\u003e \u003cp\u003e12.3.4.2 Chronic Care Model 267\u003c\/p\u003e \u003cp\u003e12.3.5 Specialized Healthcare 268\u003c\/p\u003e \u003cp\u003e12.3.5.1 E-Health Record System 268\u003c\/p\u003e \u003cp\u003e12.3.5.2 Maternal and Child Health 269\u003c\/p\u003e \u003cp\u003e12.3.6 Cardiovascular System 270\u003c\/p\u003e \u003cp\u003e12.3.6.1 Distributed Healthcare System 270\u003c\/p\u003e \u003cp\u003e12.3.6.2 Records Management System 270\u003c\/p\u003e \u003cp\u003e12.3.7 Stroke Rehabilitation 271\u003c\/p\u003e \u003cp\u003e12.3.7.1 Patient Information System 271\u003c\/p\u003e \u003cp\u003e12.3.7.2 Toronto Virtual System 271\u003c\/p\u003e \u003cp\u003e12.4 Conclusion 272\u003c\/p\u003e \u003cp\u003eReferences 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Exploration of Information Retrieval Approaches With Focus on Medical Information Retrieval 275\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMamata Rath and Jyotir Moy Chatterjee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 276\u003c\/p\u003e \u003cp\u003e13.1.1 Machine Learning-Based Medical Information System 278\u003c\/p\u003e \u003cp\u003e13.1.2 Cognitive Information Retrieval 278\u003c\/p\u003e \u003cp\u003e13.2 Review of Literature 279\u003c\/p\u003e \u003cp\u003e13.3 Cognitive Methods of IR 281\u003c\/p\u003e \u003cp\u003e13.4 Cognitive and Interactive IR Systems 286\u003c\/p\u003e \u003cp\u003e13.5 Conclusion 288\u003c\/p\u003e \u003cp\u003eReferences 289\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Ontology as a Tool to Enable Health Internet of Things Viable 5G Communication Networks 293\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eNidhi Sharma and R. K. Aggarwal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 293\u003c\/p\u003e \u003cp\u003e14.2 From Concept Representations to Medical Ontologies 295\u003c\/p\u003e \u003cp\u003e14.2.1 Current Medical Research Trends 296\u003c\/p\u003e \u003cp\u003e14.2.2 Ontology as a Paradigm Shift in Health Informatics 296\u003c\/p\u003e \u003cp\u003e14.3 Primer Literature Review 297\u003c\/p\u003e \u003cp\u003e14.3.1 Remote Health Monitoring 298\u003c\/p\u003e \u003cp\u003e14.3.2 Collecting and Understanding Medical Data 298\u003c\/p\u003e \u003cp\u003e14.3.3 Patient Monitoring 298\u003c\/p\u003e \u003cp\u003e14.3.4 Tele-Health 299\u003c\/p\u003e \u003cp\u003e14.3.5 Advanced Human Services Records Frameworks 299\u003c\/p\u003e \u003cp\u003e14.3.6 Applied Autonomy and Healthcare Mechanization 300\u003c\/p\u003e \u003cp\u003e14.3.7 IoT Powers the Preventive Healthcare 301\u003c\/p\u003e \u003cp\u003e14.3.8 Hospital Statistics Control System (HSCS) 301\u003c\/p\u003e \u003cp\u003e14.3.9 End-to-End Accessibility and Moderateness 301\u003c\/p\u003e \u003cp\u003e14.3.10 Information Mixing and Assessment 302\u003c\/p\u003e \u003cp\u003e14.3.11 Following and Alerts 302\u003c\/p\u003e \u003cp\u003e14.3.12 Remote Remedial Assistance 302\u003c\/p\u003e \u003cp\u003e14.4 Establishments of Health IoT 303\u003c\/p\u003e \u003cp\u003e14.4.1 Technological Challenges 304\u003c\/p\u003e \u003cp\u003e14.4.2 Probable Solutions 306\u003c\/p\u003e \u003cp\u003e14.4.3 Bit-by-Bit Action Statements 307\u003c\/p\u003e \u003cp\u003e14.5 Incubation of IoT in Health Industry 307\u003c\/p\u003e \u003cp\u003e14.5.1 Hearables 308\u003c\/p\u003e \u003cp\u003e14.5.2 Ingestible Sensors 308\u003c\/p\u003e \u003cp\u003e14.5.3 Moodables 308\u003c\/p\u003e \u003cp\u003e14.5.4 PC Vision Innovation 308\u003c\/p\u003e \u003cp\u003e14.5.5 Social Insurance Outlining 308\u003c\/p\u003e \u003cp\u003e14.6 Concluding Remarks 309\u003c\/p\u003e \u003cp\u003eReferences 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Tools and Techniques for Streaming Data: An Overview 313\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eK. Saranya, S. Chellammal and Pethuru Raj Chelliah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 314\u003c\/p\u003e \u003cp\u003e15.2 Traditional Techniques 315\u003c\/p\u003e \u003cp\u003e15.2.1 Random Sampling 315\u003c\/p\u003e \u003cp\u003e15.2.2 Histograms 316\u003c\/p\u003e \u003cp\u003e15.2.3 Sliding Window 316\u003c\/p\u003e \u003cp\u003e15.2.4 Sketches 317\u003c\/p\u003e \u003cp\u003e15.2.4.1 Bloom Filters 317\u003c\/p\u003e \u003cp\u003e15.2.4.2 Count-Min Sketch 317\u003c\/p\u003e \u003cp\u003e15.3 Data Mining Techniques 317\u003c\/p\u003e \u003cp\u003e15.3.1 Clustering 318\u003c\/p\u003e \u003cp\u003e15.3.1.1 STREAM 318\u003c\/p\u003e \u003cp\u003e15.3.1.2 BRICH 318\u003c\/p\u003e \u003cp\u003e15.3.1.3 CLUSTREAM 319\u003c\/p\u003e \u003cp\u003e15.3.2 Classification 319\u003c\/p\u003e \u003cp\u003e15.3.2.1 Naïve Bayesian 319\u003c\/p\u003e \u003cp\u003e15.3.2.2 Hoeffding 320\u003c\/p\u003e \u003cp\u003e15.3.2.3 Very Fast Decision Tree 320\u003c\/p\u003e \u003cp\u003e15.3.2.4 Concept Adaptive Very Fast Decision Tree 320\u003c\/p\u003e \u003cp\u003e15.4 Big Data Platforms 320\u003c\/p\u003e \u003cp\u003e15.4.1 Apache Storm 321\u003c\/p\u003e \u003cp\u003e15.4.2 Apache Spark 321\u003c\/p\u003e \u003cp\u003e15.4.2.1 Apache Spark Core 321\u003c\/p\u003e \u003cp\u003e15.4.2.2 Spark SQL 322\u003c\/p\u003e \u003cp\u003e15.4.2.3 Machine Learning Library 322\u003c\/p\u003e \u003cp\u003e15.4.2.4 Streaming Data API 322\u003c\/p\u003e \u003cp\u003e15.4.2.5 GraphX 323\u003c\/p\u003e \u003cp\u003e15.4.3 Apache Flume 323\u003c\/p\u003e \u003cp\u003e15.4.4 Apache Kafka 323\u003c\/p\u003e \u003cp\u003e15.4.5 Apache Flink 326\u003c\/p\u003e \u003cp\u003e15.5 Conclusion 327\u003c\/p\u003e \u003cp\u003eReferences 328\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 An Ontology-Based IR for Health Care 331\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJ. P. Patra, Gurudatta Verma and Sumitra Samal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 331\u003c\/p\u003e \u003cp\u003e16.2 General Definition of Information Retrieval Model 333\u003c\/p\u003e \u003cp\u003e16.3 Information Retrieval Model Based on Ontology 334\u003c\/p\u003e \u003cp\u003e16.4 Literature Survey 336\u003c\/p\u003e \u003cp\u003e16.5 Methodolgy for IR 339\u003c\/p\u003e \u003cp\u003eReferences 344\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Business applications [\u003ca title=\"See our other books on Business applications\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20applications%20%5BUF%5D%22\"\u003eUF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52516140581144,"sku":"9781119640486","price":136.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119640486.jpg?v=1786676629","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ontology-based-information-retrieval-for-healthcare-systems-hardback-9781119640486","provider":"Freshly Printed Books","version":"1.0","type":"link"}