Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network

Rao PC(2020)Evaluating risk prediction models for adults with heart failure: A systematic literature review PLoS ONE 55 3-1692

Khalil I(2014)Risk prediction in patients with heart failure: a systematic review and analysis JACC Heart Fail 27 355-1701

Brown A(2020)Improving risk prediction in heart failure using machine learning Eur J Heart Fail 44 2623-3957

Swartz S(2021)Machine ​learning algorithms for claims data-based prediction of in-hospital mortality in patients with heart failure ESC Heart Fail 2020 1683-S72

Fullman N(2005)Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data Med Care 70 1693-18

Mosser J(2017)Identifying increased risk of readmission and in-hospital mortality using hospital administrative data: the AHRQ Elixhauser comorbidity index Med Care 43 e003846-undefined

Thompson RL(2020)A tutorial on calibration measurements and calibration models for clinical prediction models J Am Med Inform Assoc 113 3947-undefined

Reiner RC(1988)Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach Biometrics 113 S27-undefined

Murthy S(2020)Eine höhere Letalität und lange Beatmungsdauer unterscheiden COVID-19 von schwer verlaufenden Atemwegsinfektionen in Grippewellen Epid Bull 10 17-undefined

Archambault PM(2021)Body mass index and risk for COVID-19-related hospitalization, intensive care unit admission, invasive mechanical ventilation, and death—United States, March-December 2020 Morb Mortal Wkly Rep 39 undefined-undefined

Rao PC(2020)Evaluating risk prediction models for adults with heart failure: A systematic literature review PLoS ONE 55 3-1692

Khalil I(2014)Risk prediction in patients with heart failure: a systematic review and analysis JACC Heart Fail 27 355-1701

Brown A(2020)Improving risk prediction in heart failure using machine learning Eur J Heart Fail 44 2623-3957

Swartz S(2021)Machine ​learning algorithms for claims data-based prediction of in-hospital mortality in patients with heart failure ESC Heart Fail 2020 1683-S72

Fullman N(2005)Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data Med Care 70 1693-18

Mosser J(2017)Identifying increased risk of readmission and in-hospital mortality using hospital administrative data: the AHRQ Elixhauser comorbidity index Med Care 43 e003846-undefined

Thompson RL(2020)A tutorial on calibration measurements and calibration models for clinical prediction models J Am Med Inform Assoc 113 3947-undefined

Reiner RC(1988)Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach Biometrics 113 S27-undefined

Murthy S(2020)Eine höhere Letalität und lange Beatmungsdauer unterscheiden COVID-19 von schwer verlaufenden Atemwegsinfektionen in Grippewellen Epid Bull 10 17-undefined

Archambault PM(2021)Body mass index and risk for COVID-19-related hospitalization, intensive care unit admission, invasive mechanical ventilation, and death—United States, March-December 2020 Morb Mortal Wkly Rep 39 undefined-undefined