Explainable Prediction of Dacryocystitis From Noninvasive Ocular Indicators Using Deep Stacked Network and The Shapley Additive Explanations Approach.

Han, Fuchang; Liao, Shenghui; Song, Xuefei; Chen, Shaoqin; Li, Lunhao; Liu, Shu; Zhao, Yuqian

Han, Fuchang; Liao, Shenghui; Song, Xuefei; Chen, Shaoqin; Li, Lunhao; Liu, Shu; Zhao, Yuqian.

Afiliación

Han F; School of Computer Science and Engineering, Central South University, Changsha.
Liao S; School of Computer Science and Engineering, Central South University, Changsha.
Song X; Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai.
Chen S; State Grid Fujian Electric Power Company Limited Information & Communication.
Li L; Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai.
Liu S; School of Computer Science and Engineering, Central South University, Changsha.
Zhao Y; School of Automation, Central South University, Changsha, China.

J Craniofac Surg ; 33(4): e350-e355, 2022 Jun 01.

Article en En | MEDLINE | ID: mdl-36041091

Asunto(s)

Dacriocistitis; Dacriocistitis/diagnóstico; Dacriocistitis/cirugía; Humanos; Reproducibilidad de los Resultados

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dacriocistitis Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Craniofac Surg Asunto de la revista: ODONTOLOGIA Año: 2022 Tipo del documento: Article

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