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Using machine learning to predict how people diagnosed with major depressive disorder respond to treatment
AUC = 0.70) compared to the fNIRS-only model." Overall, the results of this recent study highlight the potential of machine learning as a tool to explore the factors associated with how people ...
Endocrinology Advisor18h
Performance of AI Preeclampsia Prediction Models Deteriorates Over Time
Machine Learning (PIERS-ML) model and the logistic regression-based fullPIERS model, consecutive performance deteriorates over time.
devdiscourse9d
AI in emergency rooms: Study shows machine learning can accurately predict patient outcomes
AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...
Too Old to Operate11d
Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study.
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...
Healio9d
AI tool predicts response to, survival after treatment with immune checkpoint inhibitors
An AI tool appeared superior to two FDA-approved biomarkers for predicting how people with cancer will respond to immune ...