An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study.

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第一作者： Omar,Shareef

第一单位： Harvard College, Cambridge, MA, United States.;Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States.

作者： Omar,Shareef ^[1] ; James T,Kwan ^[2] ; Sarina,Lau ^[3] ; Mohammad Ali,Tahboub ^[4] ; Hajirah N,Saeed ^[5]

作者单位： Harvard College, Cambridge, MA, United States.;Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States. ^[1] Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States.;Tufts University School of Medicine, Boston, MA, United States. ^[2] Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States.;Department of Biology, Simmons University, Boston, MA, United States. ^[3] Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States. ^[4] Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, United States.;Department of Ophthalmology, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, United States. ^[5]

关键词 ABCD SCORTEN score Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) (SJS/TEN)machine learning mortality risk random forest (bagging) and machine learning

DOI 10.3389/fmed.2022.935408

PMID 36569158

发布时间 2022-12-27

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Frontiers in medicine

2022年9卷

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An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study.

Frontiers in medicine

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An alternative model for assessing mortality risk in Stevens Johnson syndrome/toxic epidermal necrolysis using a random forests classifier: A pilot study.

Frontiers in medicine

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Frontiers in medicine

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