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TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Medicine and Health

TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Z. Yang, A. Mitra, et al.

TransformEHR is a cutting-edge model developed by authors Zhichao Yang, Avijit Mitra, Weisong Liu, Dan Berlowitz, and Hong Yu that predicts disease outcomes from electronic health records. With impressive results in forecasting pancreatic cancer and self-harm in PTSD patients, it promises a leap forward in clinical interventions.

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