University of California, San Francisco

AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
IEEE

Development of a Patient Care Cost Prediction Model Using the Light Gradient Boosting Machine (LightGBM) Algorithm

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...
Santa Clara University

Exploring AI in Health Care and the Promise and Peril for Patients and Society

Home Markkula Center for Applied Ethics About the Center Center News Exploring AI in Health Care and the Promise and Peril for Patients and Society Quote from Guadalupe Hayes-Mota on Ethics and AI in ...
IEEE

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...