Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study

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Standard

Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals : a Danish register-based study. / Shakibfar, Saeed; Andersen, Morten; Sessa, Maurizio.

I: iScience, Bind 26, Nr. 7, 107027, 2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Shakibfar, S, Andersen, M & Sessa, M 2023, 'Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study', iScience, bind 26, nr. 7, 107027. https://doi.org/10.1016/j.isci.2023.107027

APA

Shakibfar, S., Andersen, M., & Sessa, M. (2023). Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study. iScience, 26(7), [107027]. https://doi.org/10.1016/j.isci.2023.107027

Vancouver

Shakibfar S, Andersen M, Sessa M. Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study. iScience. 2023;26(7). 107027. https://doi.org/10.1016/j.isci.2023.107027

Author

Shakibfar, Saeed ; Andersen, Morten ; Sessa, Maurizio. / Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals : a Danish register-based study. I: iScience. 2023 ; Bind 26, Nr. 7.

Bibtex

@article{d2ef4dff3db541b9ac6b629cec1b8fb9,
title = "Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals: a Danish register-based study",
abstract = "Community-acquired pneumonia (CAP) is an acute infection involving the parenchyma of the lungs, which is acquired outside of the hospital. Population-wide real-world data and artificial intelligence (AI) were used to develop a disease risk score for CAP hospitalization among older individuals. The source population included residents in Denmark aged 65 years or older in the period January 1, 1996, to July 30, 2018. 137344 individuals were hospitalized for pneumonia during the study period for which, 5 controls were matched leading to a study population of 620908 individuals. The disease risk had an average accuracy of 0.79 based on 5-fold cross-validation in predicting CAP hospitalization. The disease risk score can be useful in clinical practice to identify individuals at higher risk of CAP hospitalization and intervene to minimize their risk of being hospitalized for CAP.",
author = "Saeed Shakibfar and Morten Andersen and Maurizio Sessa",
year = "2023",
doi = "10.1016/j.isci.2023.107027",
language = "English",
volume = "26",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier",
number = "7",

}

RIS

TY - JOUR

T1 - Artificial intelligence-based disease risk score for community-acquired pneumonia hospitalization in older individuals

T2 - a Danish register-based study

AU - Shakibfar, Saeed

AU - Andersen, Morten

AU - Sessa, Maurizio

PY - 2023

Y1 - 2023

N2 - Community-acquired pneumonia (CAP) is an acute infection involving the parenchyma of the lungs, which is acquired outside of the hospital. Population-wide real-world data and artificial intelligence (AI) were used to develop a disease risk score for CAP hospitalization among older individuals. The source population included residents in Denmark aged 65 years or older in the period January 1, 1996, to July 30, 2018. 137344 individuals were hospitalized for pneumonia during the study period for which, 5 controls were matched leading to a study population of 620908 individuals. The disease risk had an average accuracy of 0.79 based on 5-fold cross-validation in predicting CAP hospitalization. The disease risk score can be useful in clinical practice to identify individuals at higher risk of CAP hospitalization and intervene to minimize their risk of being hospitalized for CAP.

AB - Community-acquired pneumonia (CAP) is an acute infection involving the parenchyma of the lungs, which is acquired outside of the hospital. Population-wide real-world data and artificial intelligence (AI) were used to develop a disease risk score for CAP hospitalization among older individuals. The source population included residents in Denmark aged 65 years or older in the period January 1, 1996, to July 30, 2018. 137344 individuals were hospitalized for pneumonia during the study period for which, 5 controls were matched leading to a study population of 620908 individuals. The disease risk had an average accuracy of 0.79 based on 5-fold cross-validation in predicting CAP hospitalization. The disease risk score can be useful in clinical practice to identify individuals at higher risk of CAP hospitalization and intervene to minimize their risk of being hospitalized for CAP.

U2 - 10.1016/j.isci.2023.107027

DO - 10.1016/j.isci.2023.107027

M3 - Journal article

C2 - 37426351

VL - 26

JO - iScience

JF - iScience

SN - 2589-0042

IS - 7

M1 - 107027

ER -

ID: 353941606