Lecture: 'Clinical decision support systems for chronic diseases'

Clinical decision support systems (CDSSs) have a promising opportunity to enhance healthcare by providing personalized, accurate, standard, objective, timely, and medically acceptable decisions. There are two main kinds of CDSSs, i.e., knowledge-based systems and data-driven systems. Knowledge based systems use human-crafted knowledge to build interpretable knowledge bases using techniques like (fuzzy) rules, (fuzzy) ontologies, or case bases. Data driven systems use machine learning and deep learning techniques to extract the hidden patterns in large volume of data and use this knowledge to build the inference engine of the CDSS system. Every methodology has its own advantages and disadvantages. Recently, machine learning techniques have been used to improve the diagnoses and detection of chronic disease like diabetes and Alzheimer’s diseases. However, clinicians often do not adhere to the recommendations of these systems. In this meeting, we will discuss the current literature of CDSS and explore the reasons for not considering these systems in real medical environments. We will concentrate mainly on Diabetes mellites and Alzheimer diseases.

About

Shaker El-Sappagh received the bachelor’s degree in computer science and the master’s degree from the Information Systems Department, Faculty of Computers and Information, Cairo University, Egypt, in 1997 and 2007, respectively, and the Ph.D. degree in computer science from Information Systems Department, Faculty of Computers and Information, Mansura University, Mansura, Egypt, in 2016. In 2003, he joined the Department of Information Systems, Faculty of Computers and Information, Minia University, Egypt, as a Teaching Assistant. Since June 2016, he has been with the Department of Information Systems, Faculty of Computers and Information, Benha University, as an Assistant Professor. He worked as a research professor at the UWB Wireless Communications Research Center, Department of Information and Communication Engineering, Inha University, Incheon, South Korea. He is currently a researcher in the Centro Singular de Investigación en Tecnoloxías Intelixentes, Universidade de Santiago de Compostela, Santiago, Spain. He has publications in clinical decision support systems and semantic intelligence. He has many publications in reputed journals. His current research interests include machine learning, medical informatics, (fuzzy) ontology engineering, distributed and hybrid clinical decision support systems, semantic data modeling, fuzzy expert systems, and deep learning. He is a Reviewer for many journals, and he is very interested in the diseases’ diagnoses and treatment studies.