Abstract
Over the past 30 years, information technology has gradually transformed the way health care is provisioned for patients. Chronic Obstructive Pulmonary Disease (COPD) is an incurable malady that threatens the lives of millions around the world. The huge amount of medical information in terms of complex interdependence between progression of health problems and various other factors makes the representation of data more challenging. This study investigated how formal semantic standards could be used for building an ontology knowledge repository to provide ubiquitous healthcare and medical recommendations for COPD patient to reduce preventable harm. The novel contribution of the suggested framework resides in the patient-centered monitoring approach, as we work to create dynamic adaptive protection services according to the current context of patient. This work executes a sequential modular approach consisting of patient, disease, location, devices, activities, environment and services to deliver personalized real-time medical care for COPD patients. The main benefits of this project are: (1) adhering to dynamic safe boundaries for the vital signs, which may vary depending on multiple factors; (2) assessing environmental risk factors; and (3) evaluating the patient’s daily activities through scheduled events to avoid potentially dangerous situations. This solution implements an interrelated set of ontologies with a logical base of Semantic Web Rule Language (SWRL) rules derived from the medical guidelines and expert pneumologists to handle all contextual situations.
Highlights
The fight against human disease and the promotion and protection of health are essential issues to ensure the continuity of the human species
Farfan et al [31], proposed XOntoRank system to address the ontology-aware XML keyword search of electronic medical records. Unlike these approaches, which use the ontology for enhancing the management of concepts medical services, we address the practical aspect of Chronic Obstructive Pulmonary Disease (COPD) problem and use a general ontological knowledge base to improve the lives of patients
The first known classification was brought by Mizoguchi et al [42] in 1995 who proposed four types of ontologies: content ontologies that allow reusing the available knowledge resources; communication ontologies, which are dedicated to supporting the sharing of knowledge in a formal manner; indexing ontologies to retrieve source cases similar to the target cases; and meta-ontologies that can be used as a knowledge schema to provide general description dealing with high-level abstractions
Summary
The fight against human disease and the promotion and protection of health are essential issues to ensure the continuity of the human species. Environmental factors are one of the COPD triggers, where exposure to dangerous elements such inappropriate levels of humidity or temperature, air pollutants or abnormal concentrations of oxygen in the atmosphere may threaten patient’s lung health This external risk-identification process is achieved through automatic enabling of spatial sensors based on geographical coordinates to protect COPD patients from environmental hazards either indoors or outdoors. Ability to arrive at a rapid diagnosis to evaluate their suggested treatment plan Such a smart framework implements interrelated sets of ontologies with a logical base of SWRL rules derived from the medical guidelines to handle all contextual situations. This work presents a remote healthcare solution for COPD which is an ontology-based system for hostile events and environments, to provide patients with real-time aids and healthcare specialists with efficient decision-making support.
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