Patient-specific models for predicting the outcomes of patients with community acquired pneumonia.

Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Research Abstract Details 

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Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Abstract Text:

Shyam Visweswaran,Gregory F Cooper,

We investigated two patient-specific and four population-wide machine learning methods for predicting dire outcomes in community acquired pneumonia (CAP) patients. Predicting dire outcomes in CAP patients can significantly influence the decision about whether to admit the patient to the hospital or to treat the patient at home. Population-wide methods induce models that are trained to perform well on average on all future cases. In contrast, patient-specific methods specifically induce a model for a particular patient case. We trained the models on a set of 1601 patient cases and evaluated them on a separate set of 686 cases. One patient-specific method performed better than the population-wide methods when evaluated within a clinically relevant range of the ROC curve. Our study provides support for patient-specific methods being a promising approach for making clinical predictions.

Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Publishing Authors By Initials

S Visweswaran,GF Cooper,

For similar roc curve research abstracts see: roc curve research

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Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: AMIA ... Annual Symposium proceedings / AMIA Sympo

VOLUME:

Page Numbers: 759-63

Journal Abbreviation:

ISSN: 1559-4076

DAY: 3

MONTH: 12

YEAR: 2005

Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Information

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LANGUAGE: eng

NlmUniqueID: 101209213

Patient-specific models for predicting the outcomes of patients with community acquired pneumonia. Keywords Mesh Terms:

KEYWORDS: ROC Curve

MESH TERMS: mortality

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Grant and Affiliation Information for Patient-specific models for predicting the outcomes of patients with community acquired pneumonia.

AFFILIATION: Center for Biomedical Informatics and the Intelligent Systems Program, University of Pittsburgh, Pennsylvania, USA.

Country: United States

AGENCY: United States NIDCR

GRANT: T15-LM/DE07059-17

ACRONYM: DE

MEDLINETA: AMIA Annu Symp Proc

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