Novel Insights into Data Mining to Improve the Specificity of Pharmacovigilance and Prevent Adverse Drug Reactions in Psychiatric Patients

Main Article Content

Aarushi Jain
Dr. Arunava Ghosh

Abstract

The aim of this perspective is to provide a review upon the fundamental computational methods deployed in data mining as applied to healthcare data, with particular regards to patient records of psychiatric patients. Albeit clinical data mining has advanced over the years, further research is needed to improve the specificity of pharmacovigilance and prevent adverse drug reactions in psychiatric patients. From describing the main principles and present challenges of data mining to its most-novel applications in clinical psychiatry, this literature review highlights current research gaps that have to be filled to increase the efficacy of psychiatric drugs nowadays, thus improving patient outcomes and decreasing hospitalization costs.

Article Details

How to Cite
Jain, A. ., & Ghosh, A. (2021). Novel Insights into Data Mining to Improve the Specificity of Pharmacovigilance and Prevent Adverse Drug Reactions in Psychiatric Patients. Asia Pacific Journal of Health Management, 16(3), 130-136. https://doi.org/10.24083/apjhm.v16i3.985
Section
Review Articles
Author Biographies

Aarushi Jain, Indian Institute of Management Indore, India

Doctoral Scholar
Department of Information Systems
Indian Institute of Management Indore, India. Rau-Pithampur Road, Madhya Pradesh, 453331, India

Dr. Arunava Ghosh, School of Business, University of Petroleum and Energy Studies, India

Assistant Professor
School of Business, University of Petroleum and Energy Studies, Kandoli Via-Prem Nagar, Dehradun, Uttarakhand 248007, India