Learning Objectives Recognize parametric and nonparametric methods - - PowerPoint PPT Presentation

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Jan 17, 2024 283 likes •360 views

Learning Objectives Recognize parametric and nonparametric methods for predicting patient outcomes from longitudinal data List different types of patient data that may be used to predict hospital readmission and disease-free survival

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Learning Objectives

 Recognize parametric and nonparametric methods for

predicting patient outcomes from longitudinal data

 List different types of patient data that may be used to

predict hospital readmission and disease-free survival

 Discuss at least two patient outcomes that can be

predicted from longitudinal data

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timoelliott.com xkcd.com

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Communicating Predicted Risks

 What is the goal of the model?  How certain are we of the predictions?  Individual or group risk?  Translation: Consider numeracy, prospect theory, risk

framing

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 Bruno Riverin

 The Effect of Timely Outpatient Follow-up on 30-Day Readmission:

An Analysis Using Time-Specific Propensity Scores

 Brian Moore

 Comorbidity Indices for Identifying Risk of Readmission or In-

Hospital Mortality Using Hospital Administrative Data

 Che Ngufor

 Predicting Change in Glycemic Control among Previously

Controlled Type 2 Diabetes Patients Using Longitudinal Data: A Machine Learning Approach

 Layla Parast

 Improving Dynamic Risk Prediction Using Biomarker Change

Measurements

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xkcd.com

melissa.garrido@mssm.edu

@GarridoMelissa