ascopubs.org

Python-based preprocessing for applying machine learning in breast cancer metastasis prediction.

To determine correlation of inter reader variability in sum of diameters using RECIST 1.1 with end point assessment in lung cancer. A systematic evaluation of models predicting short-term mortality ...
BIOENGINEER

Machine Learning Models Analyze Tabular Clinical Data to Improve Glaucoma Detection

A systematic review of 35 studies demonstrates that machine learning models analyzing structured clinical, imaging, and ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
GitHub

Real-Time Air Quality Prediction Using Machine Learning

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
GitHub

A machine learning model to predict the outcomes of football matches based on historical data.

A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
techtarget

Clean data is the foundation of machine learning

Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...