Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities
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Michael Gao | Marshall Nichols | Suresh Balu | Mark Sendak | Anthony Lin | M. Sendak | S. Balu | M. Gao | M. Nichols | Anthony L Lin
[1] E. Finkelstein,et al. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes , 2017, JAMA.
[2] L. Zullig,et al. Prescribing an App? Oncology Providers' Views on Mobile Health Apps for Cancer Care. , 2017, JCO clinical cancer informatics.
[3] Katherine A. Heller,et al. An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection , 2017, MLHC.
[4] Andrew H. Beck,et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer , 2017, JAMA.
[5] M. Sendak,et al. Barriers to Achieving Economies of Scale in Analysis of EHR Data. A Cautionary Tale. , 2017, Applied clinical informatics.
[6] H. Bosworth,et al. Closing the Referral Loop: an Analysis of Primary Care Referrals to Specialists in a Large Health System , 2018, Journal of General Internal Medicine.
[7] Subhashini Venugopalan,et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.
[8] L. Casalino,et al. US Physician Practices Spend More Than $15.4 Billion Annually To Report Quality Measures. , 2016, Health affairs.
[9] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[10] Dr Pat Collins,et al. Impact Report , 2018 .
[11] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[12] 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.