Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Citation: Regression approach outperforms ML algorithms in predicting optimal surgical method in submucosal tumor patients (2024, February 28) retrieved 15 May 2025 from https://medicalxpress.com ...

Researchers developed a machine learning technique to predict obesity risk by analyzing sociodemographic, lifestyle, and health factors. The study, which achieved 79% accuracy, identified significant ...

Unlike algorithms, which follow predefined rules, ML involves systems that learn from data, identify patterns and make decisions with minimal human intervention. For example, ...

Google and Verily have been leveraging ML to screen for the two leading causes of preventable blindness in adults. This algorithm is now being used in a clinical setting, while the European Union ...

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes. They can come in handy for analyzing text, images ...