Jenna Wiens
University of Michigan(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, COVID-19 diagnosis using AI, Sepsis Diagnosis and Treatment, Artificial Intelligence in Healthcare and Education, Clostridium difficile and Clostridium perfringens research
Most-Cited Works
- → Do no harm: a roadmap for responsible machine learning for health care(2019)911 cited
- → Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology(2017)547 cited
- → A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems(2020)238 cited
- → Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice(2024)160 cited
- → Measuring the Impact of AI in the Diagnosis of Hospitalized Patients(2023)149 cited
- → A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions(2014)129 cited
- → A Generalizable, Data-Driven Approach to Predict Daily Risk ofClostridium difficileInfection at Two Large Academic Health Centers(2018)126 cited
- → Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19(2020)98 cited
- → Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data(2020)89 cited
- → Machine learning for patient risk stratification for acute respiratory distress syndrome(2019)86 cited