A Machine Learning Approach to Classify Medical Records by Psychiatric Diagnosis | Nash | $35,784
A Machine Learning Approach to Classify Medical Records by Psychiatric Diagnosis 2023 Award: $35,784 The widespread adoption of electronic health records (EHRs) has been accompanied by the enticing promise of using “big data” to improve patient care and clinical research. Many “big data” models rely on discrete data points, while in the field of mental health, our outcomes and diagnostic criteria are typically found in unstructured clinical narratives. In this study, we will train and evaluate machine learning classification models of psychiatric diagnoses using software capable of mining structured and unstructured data in the EHR, by incorporating unstructured clinical data using natural language processing. Need/Problem: The widespread adoption of electronic health records (EHRs) is accompanied by the enticing promise of using “big data” to improve patient care through large-scale research studies, population health and quality improvement initiatives, and improved [...]
