William V. Bobo

An electronic health record driven algorithm to identify incident antidepressant medication users

Jennifer St Sauver, Jyotishman Pathak, William V. Bobo, 2014, Journal of the American Medical Informatics Association : JAMIA.

Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods

Ravishankar K. Iyer, Subho S. Banerjee, William V. Bobo, 2017, 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder

Ravishankar K. Iyer, William V. Bobo, Mark A. Frye, 2018, IEEE Computational Intelligence Magazine.

Switching Antipsychotics: Why, When, and How?

William V. Bobo, 2013 .

Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records

Jyotishman Pathak, Euijung Ryu, William V. Bobo, 2016, BMC Psychiatry.

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication

Ravishankar K. Iyer, William V. Bobo, Mark A. Frye, 2019, Clinical pharmacology and therapeutics.