This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Measurement of Completeness and Timeliness of Linked Electronic Health Record Pharmacy Data for Early Detection of Nonadherence to Breast Cancer Adjuvant Endocrine Therapy Using clinical data from ...
Survival models using EHR data predicted progression from NPDR or DME to PDR in type 2 diabetes patients. Key risk factors for progression included age, race, NPDR severity, and diabetic nephropathy.
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