Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets

Ahmad P. Tafti; Yue Dong; Elizabeth Habermann; Hongfang Liu; Vitaly Herasevich

doi:10.3233/SHTI190646

Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets

Ahmad P. Tafti, Yue Dong, Elizabeth Habermann, Hongfang Liu, Vitaly Herasevich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of care. We used EMR data to build artificial neural network models to better understand the impact of cold weather on outcome of first surgeries in a day in comparison to a matched cohort receiving surgical treatment in warm days. We found that LOS for first-in-a-day cardiac and orthopedic surgical cases are longer in very cold days.

Original language	English (US)
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	1783-1784
Number of pages	2
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190646
State	Published - Aug 21 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/Territory	France
City	Lyon
Period	8/25/19 → 8/30/19

Keywords

Association Learning
Length of Stay
Machine Learning

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI190646

Cite this

Tafti, A. P., Dong, Y., Habermann, E., Liu, H., & Herasevich, V. (2019). Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1783-1784). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190646

Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets. / Tafti, Ahmad P.; Dong, Yue; Habermann, Elizabeth et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1783-1784 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tafti, AP, Dong, Y, Habermann, E , Liu, H & Herasevich, V 2019, Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1783-1784, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190646

Tafti AP, Dong Y, Habermann E , Liu H , Herasevich V. Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1783-1784. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190646

Tafti, Ahmad P. ; Dong, Yue ; Habermann, Elizabeth et al. / Relationship between very cold outside weather and surgical outcome : Integrating shallow and deep artificial neural nets. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1783-1784 (Studies in Health Technology and Informatics).

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abstract = "Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of care. We used EMR data to build artificial neural network models to better understand the impact of cold weather on outcome of first surgeries in a day in comparison to a matched cohort receiving surgical treatment in warm days. We found that LOS for first-in-a-day cardiac and orthopedic surgical cases are longer in very cold days.",

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Relationship between very cold outside weather and surgical outcome: Integrating shallow and deep artificial neural nets

Abstract

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Keywords

ASJC Scopus subject areas

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