William Paiva

Data-driven approaches to improve the detection and treatment of post-traumatic epilepsy

Leveraging deep active-transfer learning to identify low-resource mobility functioning information in public clinical notes

Leveraging Deep Active-Transfer Learning to Identify Low-Resource Mobility Functioning Information in Public Clinical Notes

SCH: Harnessing Tensor Information to Improve EHR Data Quality for Accurate Data-Driven Screening of Diabetic Retinopathy with Routine Lab Results

Computer Assisted Human Interaction

ROK-NET Fund

Validating a Clinical Decision Support Algorithm Developed with Big Data to Diagnose, State, Prevent, and Monitor a Patient's Diebetic Retinopathy

Rural Tobacco Cessation Program

Predicting Chronic Pain Development for Preventing Opiod Abuse

Predicting Chronic Pain Development for Preventing Opioid Abuse

Wolters Kluwer Health Collaboration

Groups Addiction Data Analytics Project

Curbing Obesity in Adair and Muskogee Counties

Treatment and Supportive Care DEcision Making for Oncologists

Validating a Clinical Decision Support Algorithm Developed with Big Data to Diagnose, State, Prevent, and Monitor a Patient's Diabetic Retinopathy

Rural Clinic Efficiency Program

ROK-NET Fund

Google/Verily COPD, CHF, and Diabetes Collaboration and Transfer Agreement

Children's Health Equity Solutions Center (CHESC)

Grass Research