The field of knowledge computing (KC) has become the most challenging area in the last several years. KC deals with the development of intelligent computing and knowledge-based systems in which knowledge and reasoning play pivotal role. KC consists of three main areas, namely: Document Engineering (DE), Knowledge Engineering (KE), and Reasoning Techniques (RT). KE includes; knowledge acquisition, expert systems, ontologies, knowledge-based systems, knowledge compilation, shells and tools, methodologies, modeling, knowledge management, knowledge discovery, and knowledge representation techniques. The aim of this paper is to make an overview of some of KC techniques and approaches and their applications in medical informatics and healthcare. The paper discusses the following techniques and applications: case-based reasoning approach for cancer and heart diagnosis, ontological engineering for breast cancer knowledge management, and mining patient data using rough sets theory to determine thrombosis disease.
Knowledge Computing, Knowledge Engineering, Knowledge-Based Systems, Ontological Engineering, Knowledge Discovery, Computational Intelligence, Health Informatics
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Cite this paper
Abdel-Badeeh M. Salem, Vira Shendryk, Sergii Shendryk. (2018) Exploiting the Knowledge Computing and Engineering in Medical Informatics and Healthcare. International Journal of Computers, 3, 130-139
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