从稀疏电子健康档案预测儿童神经精神疾病诊断的零知识风险预言
ehrzero的Python项目详细描述
| Info: | Zero-Knowledge Risk Oracle |
|---|---|
| Author: | ZeD@UChicago <zed.uchicago.edu> |
| Description: | Estimation of the risk of future diagnoses of neuropsychiatric disorders (particularly autism) in early childhood, based on the diagnostic codes recorded during doctor visits. The prediction pipeline is based on inferring optimal stochastic generators for diagnostic code sequences, and detecting subtle deviations that drive up risk of an eventual neuropsychiatric diagnoses. The out-of-sample AUC score on the Truven dataset of insurance claims (close to 3 million children in out-of-sample data) is just over 80%, for both males and females. |
用法：
from ehrzero import ehrzero ehr.predict_with_confidence(SOURCE,n_first_weeks)
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