Chattopadhyay S.Ray P.MING-BEEN LEEChen H.S.2021-10-262021-10-262007https://www.scopus.com/inward/record.uri?eid=2-s2.0-54949103234&partnerID=40&md5=36ed70846623e7bdeb51c013fc94909chttps://scholars.lib.ntu.edu.tw/handle/123456789/585802Electronic health (e-Health) is an emerging research field that focuses on healthcare based in emerging information and communication technologies. Researchers on e-Health have been working on database management systems to store and retrieve electronically the health records, conducting e-referral of the patients, e-transferring of the patient information and helping several other sectors of a hospital management system (e.g. finance, pharmacy etc). This paper examines the problem of e-Health system development for mental illnesses that may lead to suicides. We propose a Decision Support System (DSS) that is able to mine complex real-world data of suicidal patients based on evolving knowledge engineering techniques. Evidence-based suicidal scenarios are analyzed using statistical modeling to mine knowledge. Finally the performance of the DSS is tested on some test data.e-Health system for mental health; PSIS; Rule-based DSS; Significant factors; Suicidality[SDGs]SDG3Administrative data processing; Artificial intelligence; Communication; Database systems; Decision making; Decision support systems; Decision theory; Hospitals; Knowledge based systems; Knowledge engineering; Management; Management information systems; Mining; Records management; Soft computing; e-Health system for mental health; PSIS; Rule-based DSS; Significant factors; Suicidality; Healthconference paper2-s2.0-54949103234