AI vs Machine Learning: What is the Difference?

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Medical Dialogues

Machine Learning May Predict Postoperative Complications after Laparoscopic Cholecystectomy: Review Suggests

Pakistan: Researchers have found in a new study that machine learning models show strong promise in predicting postoperative ...
EurekAlert!

Rohan Chand Sahu from Indian Institute of Technology (IIT) explores AI-powered nanomedicine: Machine learning redefines precision cancer drug delivery

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
IEEE

Gradient Boosting Decision Trees on Medical Diagnosis Over Tabular Data

Abstract: Medical diagnosis is a crucial task in the medical field, in terms of providing accurate classification and respective treatments. Having near-precise decisions based on correct diagnosis ...
Frontiers

Clinical decision system for renal cell carcinoma integrating interpretable machine learning algorithms

Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...
GitHub

decision-trees

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...
Morningstar

A First-of-Its-Kind, Formula-Free Guide to AI and Machine Learning for Decision Makers, by Corina J. Shtir, PhD

SAN DIEGO, Nov. 18, 2025 /PRNewswire/ -- AI and Machine Learning Unpacked: A Practical Guide for Decision Makers in Life Sciences and Healthcare by Corina J. Shtir ...
IEEE

Annual Rainfall Classification Using Machine Learning Techniques

Abstract: This research work investigates the classification of 1901-2017 Indian subdivision rainfall data utilizing the Random Forest, Logistic Regression, and Decision Trees machine learning ...
Frontiers

Risk factors for hematuria during indwelling urinary catheterization in acute myocardial infarction: a comparative analysis using logistic regression and decision tree

Objective: This study aimed to systematically identify risk factors for urinary catheter-related hematuria in patients with acute myocardial infarction (AMI). By integrating logistic regression and ...