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Description: Shamim Nemati is the principal investigator of the Nemati Lab at the UC San Diego Health.
artificial intelligence (4395) machine learning (3887) deep learning (1273) wearables (240) reinforcement learning (171) physiological signal processing (1) physiological control (1)
Our team is broadly interested in developing computational tools and machine learning algorithms for analysis of medical data, with the goal of phenotyping patients, tracking patients' trajectory, predicting impending events, and optimizing treatment strategies to avoid/mitigate adverse outcomes. To accomplish these, we bring together concepts and tools from signal processing, information theory, control theory, optimization, and machine learning to design physiologically inspired models and predictive anal
A major focus of our research has been in the intensive care unit (ICU) where we have been developing advanced machine learning algorithms capable of meaningfully summarizing large volumes of continuously measured patient data (e.g., vital signs time series, lab values, medication records, clinical notes, etc.), with the goal of timely prediction of potentially life-threatening clinical events (e.g., Sepsis). (Find out more) We also have a number of active collaborations at the intersection of machine learn
© UC San Diego, La Jolla, CA 92093-0881
About Me - Mingjia Huo
About Me - Sajad Mousavi
Home