Ontology-Based Information Retrieval for Healthcare Systems

Vishal Jain, Ritika Wason, Jyotir Moy Chatterjee, Dac-Nhuong Le

• Publisher: Wiley-Scrivener
• Year: 2020
• ISBN:
  9781119641384
• Edition: 1
• Topic: Computer Science
• Subtopic: Data Mining
• Index: Computer Science

With 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.

This 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:

• Semantic data integration in e-health care systems
• Keyword-based medical information retrieval
• Ontology-based query retrieval support for e-health implementation
• Ontologies as a database management system technology for medical information retrieval
• Information integration using contextual knowledge and ontology merging
• Collaborative ontology-based information indexing and retrieval in health informatics
• An ontology-based text mining framework for vulnerability assessment in health and social care
• An ontology-based multi-agent system for matchmaking patient healthcare monitoring
• A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems
• A methodology for ontology based multi agent systems development
• Ontology based systems for clinical systems: validity, ethics and regulation

1
Role of Ontology in Health Care

Sonia Singla^*

Independent Researcher, Birmingham, U.K., East West College, Bangalore University, Rajajinagar, India

Abstract

As far back as the beginning of Artificial Intelligence and the advancement of the first information-based frameworks during the 70s, individuals have longed for self-learning machines. At the point when information-based frameworks became bigger and the business enthusiasm for these innovations expanded, individuals ended up mindful of the learning procurement bottleneck and the need to (incompletely) automatize the creation and upkeep of information bases.

Medicinal services establishments are intended to focus on the patients to convey legitimate administrations. There is an abundance of information accessible inside the medicinal services frameworks; however, they need powerful investigation instruments to find shrouded connections and patterns in information. Ontologies empower high versatility in looking, extricating, keeping up, and creating data.

E-human services choice emotionally supportive network is created for the reason for improving the medicinal services administrations and power over patient’s well-being. The framework encourages speedy got to and specific social insurance administrations, obviously, contingent on the patient’s or case history by lessening the visit time to restorative establishments. It gives the human services master quick and cutting-edge understanding well-being information, along these lines lessening the documentation and conventions and expanding the ease of use of the data more successfully and dependably by the therapeutic foundations.

Keywords: Ontology, non-communicable disease, Parkinson, diabetes, cardiovascular disease

1.1 Introduction

Right now, the creating nations are distressed with the double weight of ailment—non-communicable diseases (NCDs) turning into a noteworthy general well-being challenge (Figure 1.1).

Suitable practices, expanded physical action, weight the executives, and restraint from tobacco use and liquor misuse assumes a significant job in their anticipation and the executives. This account audit features the job of different dietary segments—both supplement and non-supplement, in the avoidance and hazard decrease of NCDs. NCDs are disease that are not transmitted directly. It can prove fatal and can be become number one cause of death. About 5 million were reported due to use of tobacco alone and 2.8 million for just being overweight. According to the report of World Health Organization, there are about five main risk factors linked with NCDs mainly tobacco, increased blood pressure, intake of alcohol, air pollution, and increased level of cholesterol. If NCD is remained untreated and not counted the risky factors linked with the disease, it will leads to major disastrous leading to death of more than around 70 million by 2030. It is necessary to take into account the risk factors involved in which youngsters are not taking it seriously. Air pollution is the major cause of death across the world. India is most polluted and is in seventh position in the world. Biomass and fuel wood are major cause of pollution in India.

Not only during Diwali days but during non-festive season also pollution is high in India.

There are numerous cases of people dying from asthma in India. Due to air pollution alone in India about 1.5 million people died in 2012 according to World Health Organization. Disease cases are expanding at a disturbing rate in India. As indicated by the evaluations of the National Cancer Control Program (NCCP), by 2026, there will be more than 1.4 million individuals experiencing malignant growth. One of the real purposes behind this would be more noteworthy presentation to natural cancer-causing agents.

Figure 1.1 Examples of non-communicable diseases [2].

Perhaps, the deadliest repercussion of air contamination has been the consumption of the ozone layer in the external climate. The ozone layer goes about as a shield against destructive UBV bright beams emanated by the sun. Be that as it may, because of widespread utilization of chlorofluorocarbons (CFC), a compound substance utilized for refrigeration, the layer has been dispersing consistently.

An Earth-wide temperature boost, otherwise called environmental change, is another symptom of air contamination. It is brought about by changes in the vaporous environmental structure and is perhaps the greatest danger to earth. Corrosive downpour is another consequence of air contamination. Air-borne sulphur dioxide atoms respond with downpour water to shape sulphuric corrosive which at that point tumbles down on earth as corrosive downpour. Corrosive downpour is lethal for sea-going living things. Fish have been believed to die when water bodies turned out to be excessively acidic because of corrosive downpour. Corrosive likewise causes skin maladies in people and decimates woods. An investigation in Hong Kong, China was led to discover relationship of air contamination and asthma affirmation among youngsters, and it presumed that the surrounding levels of PM10 and NO2, however not SO2, were related with asthma in young children. Respiratory maladies in Delhi from 2012 emerged to 5 million [1].

1.2 Ontology in Diabetes

Diabetes is a protected illness, which is a result of having an inactive existence and eating prepared nourishments like rolls, bread, cakes, chocolates, pudding, frozen yogurt, and so on. Case-based reasoning (CBR) has a library of unraveled cases which analyze the unsolved diabetic cases. Each case portrays the issue, arrangement, and result of the equivalent. At whatever point comparable circumstances happen, the significant cases are recovered from the library and used for the analysis of diabetes. Philosophy contains data about diabetes—indications, causes, various sorts of diabetes, and, furthermore, the kind of determination—which helps in successful framework level thinking. In view of the applicable check of the manifestations, cosmology is broke down with sources of info, the significant determination report is recovered from the philosophy and fixed, and existing cases are reconsidered and held for the situation library for some time later. Diabetes Mellitus is linked with insulin secretion defects which could prove fatal and can be responsible for the leading cause of death worldwide by 2030. Some of the symptoms of diabetes includes is feeling suddenly hungry a lot, thirsty, feeling fatigue, and so on. Early detection of diabetes is much better. There are generally two types of diabetes.

Type 1 Diabetes—The body starts attacking its own cell that produces insulin.

Type 2 Diabetes—In these, body doesn’t produce enough insulin or it shows no response to insulin. Usually, Type 2 Diabetes is found more common in UK patients about 90% UK patients are found to be suffering from Type 2 Diabetes rather than Type 1 Diabetes. Most important is also eye screening test as it can leads to Diabetic retinopathy that can means loss of sight if not treated [3].

1.2.1 Ontology Process

Stage 1: Specifying Information—The primary target of this stage is to distinguish the need and reason for philosophy development. This stage comprises in setting up a casual archive to portray the diabetes ADE philosophy and gain the information about the diabetes and ADE area to break down the essential prerequisites. It additionally recognizes the scope of the clients and the kind of inquiries which the philosophy should reply. The information for metaphysics can be obtained from, books, inquire about papers, specialists, patients, and reference books.

Stage 2—This stage comprises on sorting out and organizing, the data wellsprings of the space by utilizing a halfway formal portrayal, for example, tables and charts. Toward the end, we acquire a dynamic philosophy (unique model). We present in pursues a case of certain phases of conceptualization of cosmology. Presentation of ideas glossary and its gatherings depicts in common language all the helpful ideas in the field of the diabetes ADEs. Definition of the classes and class pecking order used to distinguish terms; the ideas are demonstrated as classes or sub classes. The connections between the ideas, for each relationship, we determine the source idea, the objective idea, and the cardinality. The properties of classes, it comprises of specifying the properties depicting each idea.

Stage 3—It comprises on formalizing the unique metaphysics got in the past stage to a formal and operational language.

Stage 4—The motivation behind this stage comprises on encoding the formal philosophy on a cosmology usage language to make it operational. It’s acknowledged by utilizing an apparatus of ontologies release. The source ontologies were actualized utilizing the Protégé instrument which is a philosophy supervisor that gives a graphical portrayal of the cosmology and creates the code OWL (Ontology Web Language) which can be utilized in ADE aversion on frameworks programming.

Stage 5—This progression comprises on assessing and refreshing of our cosmology. This progression of assessment can be made in parallel with the past three stages. It is made at the dynamic dimension, at the formal and operational dimension. Diabetes ADE cosmology is utilized in drug process to forestall the ADE diabetes. It helps for thinking the cases semantically.

Clinical emotionally supportive network is the data framework that bolsters basic leadership exercises. It is expected to help well-being suppliers assemble valuable data to remind exercises for accomplishing diabetes treatment plan. Since it is important to connect holes between Diabetes master an...

Table of contents

• Cover
• Table of Contents
• Preface
• Acknowledgment
• 1 Role of Ontology in Health Care
• 2 A Study on Basal Ganglia Circuit and Its Relation With Movement Disorders
• 3 Extraction of Significant Association Rules Using Pre- and Post-Mining Techniques—An Analysis
• 4 Ontology in Medicine as a Database Management System
• 5 Using IoT and Semantic Web Technologies for Healthcare and Medical Sector
• 6 An Ontological Model, Design, and Implementation of CSPF for Healthcare
• 7 Ontology-Based Query Retrieval Support for E-Health Implementation
• 8 Ontology-Based Case Retrieval in an E-Mental Health Intelligent Information System
• 9 Ontology Engineering Applications in Medical Domain
• 10 Ontologies on Biomedical Informatics
• 11 Machine Learning Techniques Best for Large Data Prediction: A Case Study of Breast Cancer Categorical Data: k-Nearest Neighbors
• 12 Need of Ontology-Based Systems in Healthcare System
• 13 Exploration of Information Retrieval Approaches With Focus on Medical Information Retrieval
• 14 Ontology as a Tool to Enable Health Internet of Things Viable 5G Communication Networks
• 15 Tools and Techniques for Streaming Data: An Overview
• 16 An Ontology-Based IR for Health Care
• Index
• End User License Agreement