title: E-Health towards ecumenical framework for personalized medicine via Decision Support System.
abstract: The purpose of the present manuscript is to present the advances performed in medicine using a Personalized Decision Support System (PDSS). The models used in Decision Support Systems (DSS) are examined in combination with Genome Information and Biomarkers to produce personalized result for each individual. The concept of personalize medicine is described in depth and application of PDSS for Cardiovascular Diseases (CVD) and Type-1 Diabetes Mellitus (T1DM) are analyzed. Parameters extracted from genes, biomarkers, nutrition habits, lifestyle and biological measurements feed DSSs, incorporating Artificial Intelligence Modules (AIM), to provide personalized advice, medication and treatment.
authors.affiliation: School of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Str., 15780 Zografou, Greece. ikouris@biomed.ntua.gr
authors.forename: Ioannis
authors.initials: I
authors.lastname: Kouris
authors.forename: Charalampos
authors.initials: C
authors.lastname: Tsirmpas
authors.forename: Stavroula G
authors.initials: SG
authors.lastname: Mougiakakou
authors.forename: Dimitra
authors.initials: D
authors.lastname: Iliopoulou
authors.forename: Dimitris
authors.initials: D
authors.lastname: Koutsouris
mesh_terms: D001185:Artificial Intelligence; D015415:Biomarkers; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000503:physiopathology; D020000:Decision Support Systems, Clinical; D003922:Diabetes Mellitus, Type 1 / Q000175:diagnosis* / Q000503:physiopathology; D015894:Genome, Human; D005947:Glucose / Q000378:metabolism; D006801:Humans; D019451:Information Management / Q000639:trends*; D016347:Medical Records Systems, Computerized / Q000639:trends*; D008954:Models, Biological; D057285:Precision Medicine / Q000379:methods*; D017216:Telemedicine / Q000379:methods*
chemical_list: D015415:Biomarkers; D005947:Glucose