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 ...
Healio11h
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 ...
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 ...
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 ...
IEEE6d
JayaKrishna Amathi
Adoption Of Machine Learning,Assault,Bidding,Combination Of Support Vector Machine,Confusion Matrix,Correlation-based Feature Selection,Data Pre-processing,Decision Tree,Fraud Detection,Hybrid Machine ...
IEEE6d
Ketavarapu Srinidhi
Learning Algorithms,Linear Support Vector Machine,Machine Learning,Machine Learning Methods,Machine Learning Techniques,Make Purchase Decisions,Natural Language,Negative Feelings,Personal ...
AZoRobotics on MSN3d
Non-Invasive Saliva Test and AI Unlock New Potential for Detecting Critical Congenital Heart Disease in Fetuses
This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...
Impacts7h
How to Choose the Right Framework for Training Machine Learning Models
The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...
AI Selloff Opens Door for Alternate Machine-Learning Methods
Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers ...
Machine learning and 3D printing yield steel-strong, foam-light materials
Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...
Harvest smarter, not harder: Machine learning meets tomato farming
A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of ...