Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data

Marion Verduijn; Arianna Dagliati; Lucia Sacchi; Niels Peek; Riccardo Bellazzi; Evert de Jonge; Bas de Mol

Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data

Marion Verduijn, Arianna Dagliati, Lucia Sacchi, Niels Peek, Riccardo Bellazzi, Evert de Jonge, Bas de Mol

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

Abstract

This paper presents an empirical comparison of two temporal abstraction procedures, that were applied to derive predictive features for a prediction problem in intensive care medicine. The first procedure employs knowledge from practitioners to derive qualitative patterns of state changes; the second procedure searches through a large number of data summaries to discover those that have predictive value. The derived features were used to predict whether postsurgical patients would need mechanical ventilation longer then 24h. The data-driven temporal abstraction procedure was found to provide more informative predictors, resulting in better predictions

Original language	English
Pages (from-to)	749-753
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Publication status	E-pub ahead of print - 2005

Cite this

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title = "Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data",

abstract = "This paper presents an empirical comparison of two temporal abstraction procedures, that were applied to derive predictive features for a prediction problem in intensive care medicine. The first procedure employs knowledge from practitioners to derive qualitative patterns of state changes; the second procedure searches through a large number of data summaries to discover those that have predictive value. The derived features were used to predict whether postsurgical patients would need mechanical ventilation longer then 24h. The data-driven temporal abstraction procedure was found to provide more informative predictors, resulting in better predictions",

author = "Marion Verduijn and Arianna Dagliati and Lucia Sacchi and Niels Peek and Riccardo Bellazzi and {de Jonge}, Evert and {de Mol}, Bas",

year = "2005",

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journal = "AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium",

issn = "1559-4076",

publisher = "American Medical Informatics Association",

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T1 - Comparison of two temporal abstraction procedures: a case study in prediction from monitoring data

AU - Verduijn, Marion

AU - Dagliati, Arianna

AU - Sacchi, Lucia

AU - Peek, Niels

AU - Bellazzi, Riccardo

AU - de Jonge, Evert

AU - de Mol, Bas

PY - 2005

Y1 - 2005

N2 - This paper presents an empirical comparison of two temporal abstraction procedures, that were applied to derive predictive features for a prediction problem in intensive care medicine. The first procedure employs knowledge from practitioners to derive qualitative patterns of state changes; the second procedure searches through a large number of data summaries to discover those that have predictive value. The derived features were used to predict whether postsurgical patients would need mechanical ventilation longer then 24h. The data-driven temporal abstraction procedure was found to provide more informative predictors, resulting in better predictions

AB - This paper presents an empirical comparison of two temporal abstraction procedures, that were applied to derive predictive features for a prediction problem in intensive care medicine. The first procedure employs knowledge from practitioners to derive qualitative patterns of state changes; the second procedure searches through a large number of data summaries to discover those that have predictive value. The derived features were used to predict whether postsurgical patients would need mechanical ventilation longer then 24h. The data-driven temporal abstraction procedure was found to provide more informative predictors, resulting in better predictions

M3 - Article

C2 - 16779140

SN - 1559-4076

SP - 749

EP - 753

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

ER -