Healio3h
Machine learning tool feasible for detecting agitation in dementia
An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...
Too Old to Operate4d
Machine Learning-Based Speech Analysis to Predict COPD Status
The following is a summary of “Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and ...
Nature3d
Kernel Methods and Support Vector Machines
Kernel methods, particularly Support Vector Machines (SVMs), are powerful tools in machine learning that allow for effective classification and regression tasks. These methods utilize kernel ...
Using machine learning to predict how people diagnosed with major depressive disorder respond to treatment
Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of ...
HealthDay on MSN4d
AI Model IDs Women With Subjective Cognitive Decline During Menopause
Machine learning models may be able to identify women with severe subjective cognitive decline (SCD) during the menopause ...
Nature3d
Control Chart Pattern Recognition Using Neural Networks and Support Vector Machines
Recent advancements in machine learning, particularly through the use of neural networks and support vector machines (SVM), have significantly enhanced the ability to recognize these patterns ...
tom's Hardware on MSN15d
Microsoft prepares DirectX to support neural rendering for AI-powered graphics — a key feature of the update will be Cooperative Vector support
Microsoft plans to introduce cooperative vector support to DirectX, enabling cross-platform implementation of next-generation neural rendering techniques ...
www.ece.cmu.edu13d
Detecting Birth Asphyxia
Researchers from Carnegie Mellon University are developing a new mobile application, called HumekaFL, to detect birth asphyxia.