Drug Usage in Heart Disease as a Risk factors for Mental Illness using Machine Learning

Authors

Jay Sivakumar, Binghamton University--SUNY

Publication Date

2020

Document Type

Book

Description

Patients with increased mental illness like depression, anxiety or schizophrenia can lead to heart failures among mid-life and old age patients. Although the significance of mental illnesses (such as depression, anxiety, and schizophrenia) on the cardiovascular disease is well documented, mental illnesses as a side effect due to heart disease is vaguely studied. In this research, we investigate the role of cardiovascular disease as a risk factor for mental illness. During investigation, long term use of antibiotics, along with gender, age, BMI, hypertension and the usage of drugs like clarithromycin, Z-pak, folate, CoQ, omega3fish oil, vitamin B6 were considered as few other risk factors. Predictions using deep learning model have 74% accuracy with 67% specificity for depression, 80% accuracy with 80% specificity for anxiety, 84% accuracy with 73% specificity for disease and XGBoost have 63% accuracy with 70% specificity for schizophrenia. The prospective study is to conclude whether there an association and significance of these predictors on mental illness.

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Recommended Citation

Sivakumar, Jay, "Drug Usage in Heart Disease as a Risk factors for Mental Illness using Machine Learning" (2020). Research Days Posters 2020. 84.
https://orb.binghamton.edu/research_days_posters_spring2020/84