In the current Healthcare Data Revolution, physicians are about to get a bigger and more powerful stethoscope. Natural language, telemetry data, labs, effectiveness of drug treatment in clinical practice encapsulates the precise patterns of the patients presentation, trajectories of the disease and also the effectiveness of intervention by the very physicians at the bedside. Risk stratification is the mainstay for how diagnostic testing, treatment and triage is directed. We employ data from the patients directly from the community and create models for continuous daily risk stratification of a new disease to better direct physician intervention and explore a large scale use case in India. RLlib api provides a powerful framework to incorporate these new models for both tailored management of patients with high risk disease and expanding the functionalities of healthcare software.
Dr. Roger Ng is a cardiologist currently based in Seattle, Washington at Virginia Mason. He is board certified in Cardiology, echocardiography, nuclear cardiology and cardiac CT and is passionate about the applications of neural networks in medicine. He has worked at the National Institute of Health in aging research leveraging computer vision for one of the longest running longitudinal studies on aging in America. He has pursued new treatments for atherosclerotic disease and heart failure using cardiac regeneration at MGH to create the first published human heart regenerated from pluripotent cells made from fibroblasts.