Volume 8 Issue 2 - March 2017

  • 1. Ai based expert system to aid patients with depression disorder

    Authors : Supriya Thakur Aras, Neha Goliwar, Saba Aslam, Dr. Nitin Pise

    Pages : 18-23

    DOI : http://dx.doi.org/10.21172/1.82.003

    Keywords : Expert System Depression Depression Support Prolog Bayesian Networks

    Abstract :

    Depression is a common mental disorder affecting a close to 350 million of the world population according to World Health Organization (WHO). While the diagnosis of Depression is difficult due to the absence of unique pathological/physical indicators, the recovery is also complex and requires a guided approach. Currently available Online Support Forums, do not provide a comprehensive connect to a Depression patient, but serve only as a repository of study material.This paper proposes an Artificial Intelligence based expert system to help Depression patients diagnose this medical condition and also provide an interactive guidance on means to alleviate Depression symptoms. This expert system can supplement the role of a doctor by providing an integrated analysis of the patient’s mental health, personality and preferences, to provide suitable guidance to the patients in terms of stress relief, social recovery, and boosting self-esteem. This system will also provide reports and probabilistic analysis of future state Depression Disorder in the patient.

    Citing this Journal Article :

    Supriya Thakur Aras, Neha Goliwar, Saba Aslam, Dr. Nitin Pise, "Ai based expert system to aid patients with depression disorder ", https://www.ijltet.org/journal_details.php?id=911&j_id=3652, Volume 8 Issue 2 - March 2017, 18-23, #ijltetorg