Intelligent Data Prognosis of Recurrent of Depression in Medical Diagnosis
Kaushik Chanda, Pratik Bhattacharjee, Sandip Roy, Suparna Biswas · 2020
Depression normally smites more than once in a person's life and it can become a persistent recurrent disorder. Prevention of relapse and recurrence of depression would be highly advisable. Therefore, researchers have started to recognize the chances of recurrence factors of depression. Real-time patient data diagnosis can solve some unknown truth in the medical investigation. This paper focuses on the requirement of intelligent data analysis in medical diagnosis and examines different classification of intelligent data analysis techniques on 109 numbers of sample patient data from the National Institute of Health Organization (NIH). The paper concludes with the accuracy of implemented intelligent data analysis methods and their suitability in medical research.