IEEE

Advancing Oncology Outcomes: Deploying Advanced Machine Learning Models for Early Detection and Optimized Treatment

Abstract: The field of oncology is changing quickly as more advanced machine learning (ML) models are added to help find cancer earlier and improve treatment results. This paper looks at how machine ...
Frontiers

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

1 Department of Neurology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China 2 Information and Data Center, The Affiliated Yixing Hospital of Jiangsu University, Yixing, ...
GitHub

Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...
Hosted on MSN

Washington zoo announces first elephant pregnancy in 25 years

The Smithsonian National Zoo in Washington announced on Monday (November 24) that a female Asian elephant is pregnant for the first time in 25 years at the institution. New "cash law" could change ...
Live Science

Study links GLP-1 use to some pregnancy risks — but the research has key caveats

"To date, only 1 other study has examined gestational weight gain after GLP-1RA use," and "only a handful" have looked at links between the drugs and other adverse pregnancy outcomes, epidemiologists ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...