What are Model Trees? Let's Implement and Compare Them with Regression Trees in Python

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...
BIOENGINEER

Machine learning and blockchain team up to cut supply chain costs and carbon

A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to ...
BIOENGINEER

Machine Learning Outperforms Design Codes at Predicting Concrete Crack Spacing

Extremely randomized trees models trained on 96 experimental records predicted primary crack spacing in reinforced concrete ...

What it means to study AI and machine learning: What I gained from taking the GCI (Global Consumer Intelligence) course

I took a course called GCI (Global Consumer Intelligence) from April 21 to August 4, 2026, so I will write about what I ...
The American Journal of Managed Care

Machine Learning Models Flag Nonobese MASLD Using Routine Blood Tests

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
Rebellion Research

Dynamic Asset Allocation Using Machine Learning for Risk Management

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...
GitHub

StepWise PRO: Staged Explainable AI Clinical Decision Support for Early Alzheimer’s Disease Detection

StepWise PRO is a staged, explainable AI clinical decision-support system (CDSS) designed to optimize diagnostic escalation pathways in Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI).
GitHub

EV Charging Energy & Duration Estimator

An end-to-end Machine Learning web application that predicts energy consumption ($\text{kWh}$) for electric vehicle charging sessions using vehicle specifications, environmental conditions, and ...
Healio

AI model finds high-risk patients for cardiogenic shock 1.8 hours before hypotension onset

Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
BMJ Open

Machine learning-based prediction models for recurrent stroke after an index stroke: a scoping review protocol

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...