A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

1 Department of Hepatology, Panzhihua Hospital of Integrated Chinese and Western Medicine, Panzhihua, China 2 Department of Intensive Care Medicine, Panzhihua Hospital of Integrated Chinese and ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key ...

Heart Disease Prediction is a machine learning web application built using Flask and Logistic Regression. It uses the Framingham Heart Study dataset to predict the likelihood of a person developing ...