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Learning Objectives Recognize parametric and nonparametric methods - PowerPoint PPT Presentation

Jan 17, 2024 •283 likes •358 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

  2. 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

  3. timoelliott.com xkcd.com

  4. 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

  5.  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

  6. xkcd.com melissa.garrido@mssm.edu @ GarridoMelissa

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