Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Compliance WeekOpinion

How banks are responsibly embedding machine learning and GenAI into AML surveillance

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Machine Design

Is SciML the Predictive Maintenance Breakthrough Manufacturing Has Been Waiting For?

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

How AI's predictive power is helping to prevent deforestation

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...
IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
Frontiers

Development of a machine learning-based predictive model for osteoporosis risk and its application in clinical decision support

1 Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China 2 Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China Objective: This study was aimed at ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
IEEE

Cloud-Enabled Predictive Modeling of Mental Health Using Ensemble Machine Learning Models and AES-256 Security

Abstract: Mental health disorders are becoming a common concern among adults and children alike. With the growth of cloud computing and the rising concerns over data privacy, integrating machine ...