AIMC Topic: Risk Adjustment

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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Intensive Care Units, Neonatal Hospital Administration Pregnancy Complications Gestational Age Risk Adjustment Diagnosis-Related Groups Birth Weight Outcome Assessment, Health Care Bayes Theorem Humans Artificial Intelligence Prenatal Care Hospital Mortality Logistic Models Socioeconomic Factors Female Premature Birth Pregnancy
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Guiding Risk Adjustment Models Toward Machine Learning Methods.

JAMA Sep 5, 2023
Computer Simulation Risk Adjustment Machine Learning
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Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

Terapevticheskii arkhiv Sep 20, 2018
AIM: The urgency of the study is determined by the lack of data necessary in order to assess the safety of prolonged use of proton pump inhibitors (PPI) in patients with IHD combined with anti-aggregant therapy. The aim of the study was to study the ...
Proton Pump Inhibitors Risk Adjustment Percutaneous Coronary Intervention Coronary Restenosis Myocardial Ischemia Female Registries Prospective Studies Aged Male Gastrointestinal Hemorrhage Platelet Aggregation Inhibitors Humans Prognosis Long Term Adverse Effects Middle Aged Russia Acute Coronary Syndrome Drug Therapy, Combination
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Mortality Prediction Gets a "Boost".

Critical care medicine Jun 1, 2018
Humans Hospital Mortality Critical Care Machine Learning Algorithms Risk Adjustment
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Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

Critical care medicine Jun 1, 2018
OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving ICU performance. Existing risk adjustment algorithms are not widely adopted. Key barriers to adoption include licensing and implementation costs as wel...
Intensive Care Units Models, Statistical Unsupervised Machine Learning Female Risk Adjustment Hospital Mortality Male Middle Aged Humans Algorithms
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