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Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...
Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...
Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...
A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...
WASHINGTON, July 1, 2025 /PRNewswire/ — FinRegLab today released new empirical research demonstrating that adopting machine ...
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HealthDay on MSNRandom Forest AI Model Superior for Inpatient Mortality Prognostication in CirrhosisFor inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...
The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...
Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...
This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...
Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...
Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...
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News Medical on MSNVCU-led global research team uses AI to improve prediction of death risk for hospitalized cirrhosis patientsPredicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.
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