Using machine learning to predict asthma exacerbations.

Joseph Finkelstein; Aryya Gangopadhyay

Using machine learning to predict asthma exacerbations.

Joseph Finkelstein, Aryya Gangopadhyay

School of Medicine

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

2 Scopus citations

Abstract

The objective of the current study was to explore the value of machine learning techniques for forecasting asthma exacerbations based on data obtained home asthma telemonitoring systems.

Original language	English (US)
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2007

ASJC Scopus subject areas

Medicine(all)

Cite this

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title = "Using machine learning to predict asthma exacerbations.",

abstract = "The objective of the current study was to explore the value of machine learning techniques for forecasting asthma exacerbations based on data obtained home asthma telemonitoring systems.",

author = "Joseph Finkelstein and Aryya Gangopadhyay",

year = "2007",

language = "English (US)",

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

issn = "1559-4076",

publisher = "American Medical Informatics Association",

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AU - Finkelstein, Joseph

AU - Gangopadhyay, Aryya

PY - 2007

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AB - The objective of the current study was to explore the value of machine learning techniques for forecasting asthma exacerbations based on data obtained home asthma telemonitoring systems.

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SN - 1559-4076

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

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

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Using machine learning to predict asthma exacerbations.

Abstract

ASJC Scopus subject areas

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