title: Decision support system based semantic web for personalized patient care.
abstract: Personalized medicine may be considered an extension of traditional approaches to understanding and treating diseases, but with greater precision. A profile of a patient's genetic variation can guide the selection of drugs or treatment protocols that minimize harmful side effects or ensure a more successful outcome. In this paper we describe a decision support system designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine. Development of clinical decision support based semantic web for personalized patient care is to achieve its potential and improve the quality, safety and efficiency of healthcare.
authors.affiliation: Pierre and Marie Curie University, Paris, France. nassim.douali@crc.jussieu.fr
authors.forename: Nassim
authors.initials: N
authors.lastname: Douali
authors.forename: Jos
authors.initials: J
authors.lastname: De Roo
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Jaulent
mesh_terms: D001530:Belgium; D020000:Decision Support Systems, Clinical; D005103:Expert Systems; D020407:Internet; D009323:Natural Language Processing; D057285:Precision Medicine; D012660:Semantics; D012984:Software