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New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...
Separate machine learning models were able to effectively predict both the length of hospital stay and the risk of prolonged hospitalization in people living with HIV.
Hospital-acquired acute kidney injury (HA-AKI) is a common complication in hospitalized patients that can lead to chronic kidney disease and is associated with longer hospital stays, higher health ...
Adverse effects of chemotherapy often require hospital admissions or treatment management. Identifying factors contributing to unplanned hospital utilization may improve health care quality and ...
Researchers propose a novel predictive model based on machine learning for the early prediction of adverse events.
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