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Taking machine-learning models in health care from concept to bedside

The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.

Jenna Wiens Named New Precision Health Co-Director

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.

Two papers announced among 10 most influential in healthcare and infection control

The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.

Preventing deadly hospital infections with machine learning

Model successfully applied to data from medical centers with different patient populations, electronic health record systems

Precision health pioneer named to MIT Technology Review innovator list

The national magazine recognized Jenna Wiens as one of 2017’s 35 Innovators Under 35.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

Machine learning proves useful for analyzing NBA ball screen defense

The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.

Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care

Her primary research interests lie at the intersection of machine learning and healthcare.