The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care-Reference-Cited by-同舟云学术

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The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care

Published:1999-08 Issue:8 Volume:37 Page:815-823
ISSN:0025-7079
Container-title:Medical Care
language:en
Short-container-title:Medical Care

Author:

Meenan Richard T.,O'Keeffe-Rosetti Maureen C.,Hornbrook Mark C.,Bachman Donald J.,Goodman Michael J.,Fishman Paul A.,Hurtado Arnold V.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Public Health, Environmental and Occupational Health

Reference11 articles.

1. Cost-Effectiveness of Case Management: Experiences of a University Managed Health Care Organization

2. A case manager intervention to reduce readmissions

3. Case management programs in primary care

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2. Development and Optimization of Machine Learning Algorithms for Predicting In-hospital Patient Charges for Congestive Heart Failure Exacerbations, Chronic Obstructive Pulmonary Disease Exacerbations and Diabetic Ketoacidosis;2024-06-13

3. Developing and optimizing machine learning algorithms for predicting in-hospital patient charges for Congestive Heart Failure Exacerbations, Chronic Obstructive Pulmonary Disease Exacerbations and Diabetic Ketoacidosis;2023-12-18

4. New semiparametric method for predicting high-cost patients;Biometrics;2017-12-11

5. Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE);American Heart Journal;2016-08

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