Machine learning finds four behavior symptom profiles tied to early dementia processes

Behavioral changes—such as anxiety, depression, irritability, apathy or agitation, collectively known as neuropsychiatric ...
Frontiers

Clinical Problem Selection for Machine Learning-Based Clinical Decision Support in the Intensive Care Unit: Complexity, Actionability, and the Way Forward

1 Department of Pediatrics, Division of Cardiology, University of Michigan Medical School, Ann Arbor, United States 2 Department of Computational Medicine and Bioinformatics, University of Michigan ...
The New York Times

What I’m hearing on the Jaxson Dart decision, Houston’s problems and Kirk Cousins

I’ll never skip it when it’s on. “You can’t win!” Adrian Balboa at the top of that long wooden staircase in “Rocky IV,” her voice echoing through their mansion as her husband prepared to fight the ...
EurekAlert!

Improvement of robot learning with combination of decision making and machine learning for water analysis

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...
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 ...
GitHub

ML Algorithm Selector GUI

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
Frontiers

Labour monitoring and decision support: a machine-learning-based paradigm

A machine-learning-based paradigm, combining unsupervised and supervised components, is proposed for the problem of real-time monitoring and decision support during labour, addressing the limitations ...
IEEE

Decision Tree Algorithm in Machine Learning

Abstract: Machine learning has been a hot topic in artificial intelligence for quite a few good reasons. In the future, the world’s information would be too massive for us to process. Therefore, it ...
marktechpost

This AI Paper from Weco AI Introduces AIDE: A Tree-Search-Based AI Agent for Automating Machine Learning Engineering

The development of high-performing machine learning models remains a time-consuming and resource-intensive process. Engineers and researchers spend significant time fine-tuning models, optimizing ...