IEEE

Prediction of Optimal Nearest Delivery Personnel for Delivery of Products Using Support Vector Machine Against Logistic Regression Algorithm for Better Accuracy

Abstract: The goal of this research is to enhance the accuracy of online sales management by finding the most efficient logistics method from the manufacturer using machine learning techniques.
Scientific Research Publishing

Fan, H.Y. and Poole, M.S. (2006) What Is Personalization? Perspectives on the Design and Implementation of Personalization in Information Systems. Journal of Organizational ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
IEEE

High accuracy Diabetes Prediction Using Logistic Regression

Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...