Diagnosing bias in data-driven algorithms for healthcare
暂无分享,去创建一个
Michael W. Sjoding | Jenna Wiens | W. Nicholson II Price | J. Wiens | M. Sjoding | W. Price | W. Nicholson Price
[1] Jenna Wiens,et al. A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers , 2018, Infection Control & Hospital Epidemiology.
[2] Haidan Chen. People's Science: bodies and rights on the stem cell frontier , 2016 .
[3] Aldo A. Faisal,et al. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care , 2018, Nature Medicine.
[4] Brian W. Powers,et al. Dissecting racial bias in an algorithm used to manage the health of populations , 2019, Science.
[5] Mark Braverman,et al. Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study , 2014, PloS one.
[6] Danielle Whicher,et al. Effective Care for High-Need Patients: Opportunities for Improving Outcomes, Value, and Health , 2017 .
[7] G. Escobar,et al. The Timing of Early Antibiotics and Hospital Mortality in Sepsis , 2017, American journal of respiratory and critical care medicine.
[8] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[9] Shamim Nemati,et al. An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU , 2017, Critical care medicine.