BIOENGINEER

Machine Learning Classifies Alzheimer’s Stages Using Routine Clinical and Cognitive Data

A secondary analysis shows machine-learning models using routine clinical and cognitive variables achieved moderate-to-good ...
BIOENGINEER

Machine Learning Algorithms Accurately Calibrate Multiplex Serology for Helicobacter Pylori Diagnosis

A China Kadoorie Biobank investigation demonstrates that supervised classification algorithms successfully translate ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Quantum models predict lung cancer using limited training data in preliminary tests

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This ...

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 ...
GitHub

MBTI Personality Prediction Using NLP and Machine Learning

MBTI Personality Prediction using Natural Language Processing and Machine Learning. - Jay00066/Personality_Prediction_NLP_ML ...
GitHub

Predictive Modeling for Agriculture: Sowing Success with Machine Learning

A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...