@inproceedings{scholars413,
         journal = {MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems; Proceedings of Informatics 2008 and Data Mining 2008},
           title = {Mobile islamic medication expert systems},
         address = {Amsterdam},
           pages = {167--171},
            note = {cited By 5; Conference of Informatics 2008 and Data Mining 2008, MCCSIS'08 - IADIS Multi Conference on Computer Science and Information Systems ; Conference Date: 22 July 2008 Through 27 July 2008; Conference Code:75000},
            year = {2008},
        keywords = {Computers; Expert systems; Information management; Information systems; Knowledge based systems; Mobile devices; Mobile phones; Patient treatment; Problem solving; Telecommunication equipment, Hadith; Islamic medication; Knowledge base; Mobile platforms; Quran; Rule-based, Data mining},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-58449083596&partnerID=40&md5=89e76384f672410bb6435f5079d9cf21},
        abstract = {This paper presents an overview of the design and implementation of rule-based Expert Systems on Islamic medication on mobile platform. The Mobile Islamic Medication Expert Systems (MIMES) focuses on physical and inner illnesses. The knowledge base of the proposed ES shall contain exhaustively the types of illness or sickness together with their related cures or treatments/therapies, exclusively from the Quran and Hadith. Extensive research and study will be conducted to ensure that the ES is able to provide the most suitable treatment with reference to the relevant verses cited in Quran or Hadith. These verses come together with their related 'actions' (bodily actions/gestures or some acts) to be performed by the patient to treat a particular illness/sickness. These verses and the instructions for the 'actions' are to be displayed unambiguously on the screen of the mobile device. The mobile platform provides the advantage for patient to get treatment practically anytime and anywhere. {\^A}{\copyright} 2008 IADIS.},
          author = {Jung, L. T. and Kasbon, R. and Daud, H.},
            isbn = {9789728924638}
}