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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 ...
devdiscourse10d
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 Operate12d
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 ...
devdiscourse10d
AI-powered stroke prediction: A game-changer for early diagnosis
Current clinical tools rely on known cardiovascular risk elements, but they often do not account for complex interactions between multiple variables. Machine learning, with its ability to process vast ...
Healio10d
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 ...
emjreviews.com12d
AI Models Predict Breast Cancer Recurrence and Metastasis with High Accuracy
Discover how AI and machine learning predict breast cancer recurrence locations and metastasis, improving risk assessment and ...