Frontiers

Development and validation of an interpretable machine learning model for predicting the risk of non-cardiac surgery postoperative heart failure: a multicenter study

Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...
GitHub

supervised-machine-learning

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
Forbes

The Surge Of AI In Crypto Trading: How AI Reshapes The Markets

Forbes contributors publish independent expert analyses and insights. Faculty member at Columbia University. Founder and CEO of OORT. Graph on a trader's computer screen, representing the concept of ...
Education Week

Rising Use of AI in Schools Comes With Big Downsides for Students

Teachers’ and students’ use of artificial intelligence in K-12 classrooms is increasing at a rapid pace, prompting serious concerns about the potentially negative effects on students, a new report ...
IEEE

Optimizing Classification of Suspicious Financial Transactions Using Machine Learning: a Comparative Study of Random Forest, Xgboost, and Svm

Abstract: This study explores the application of machine learning models to detect suspicious financial transactions in the banking sector. Using a dataset of 12,571 transactions obtained from PT Bank ...
Reuters

Apple sued by authors over use of books in AI training

Sept 5 (Reuters) - Technology giant Apple (AAPL.O), opens new tab was accused by authors in a lawsuit on Friday of illegally using their copyrighted books to help train its artificial intelligence ...
Fast Company

Most students are using AI to enhance learning, not outsource it, research shows

Although we surveyed only one college, our results align with similar studies, providing an emerging picture of the technology’s use in higher education. Between December 2024 and February 2025, we ...
Scientific Research Publishing

Comparative Study of Machine Learning Models for Load Prediction and Energy Management ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...
IEEE

Machine Learning for Breast Cancer Detection: Svm-Based Predictive Modeling

Abstract: Cancer is a heterogeneous disease that can spread to any body part. Breast cancer is one of the most dangerous cancers among women, contributing significantly to mortality worldwide. This ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
Scientific Research Publishing

Diabetes Diagnosis Using Machine Learning: A SVM-Based Approach ()

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...