AIMC Topic: Process Assessment, Health Care

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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Humans Machine Learning Algorithms Databases, Factual Female Risk Factors Aged Aged, 80 and over Male Middle Aged Hospitals Time Factors Hospital Mortality Logistic Models Treatment Outcome Cause of Death Registries Percutaneous Coronary Intervention Data Mining Quality Indicators, Health Care Multivariate Analysis Propensity Score Likelihood Functions Massachusetts Process Assessment, Health Care
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Classifier calibration using splined empirical probabilities in clinical risk prediction.

Health care management science Feb 21, 2014
The aims of supervised machine learning (ML) applications fall into three broad categories: classification, ranking, and calibration/probability estimation. Many ML methods and evaluation techniques relate to the first two. Nevertheless, there are ma...
Humans Artificial Intelligence Algorithms Risk Assessment England Hospital Mortality ROC Curve Myocardial Infarction Probability Calibration Process Assessment, Health Care
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