The Establishment of Hypertrophic Cardiomyopathy Diagnosis Model via Artificial Neural Network and Random Decision Forest Method.

Li, Shuanglei; Feng, Zekun; Xiao, Cangsong; Wu, Yang; Ye, Weihua

Li, Shuanglei; Feng, Zekun; Xiao, Cangsong; Wu, Yang; Ye, Weihua.

Afiliación

Li S; Division of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100037, China.
Feng Z; Division of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100037, China.
Xiao C; Division of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100037, China.
Wu Y; Division of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100037, China.
Ye W; Division of Pediatric Cardiac Surgery, Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing 100037, China.

Mediators Inflamm ; 2022: 2024974, 2022.

Article en En | MEDLINE | ID: mdl-36157891

Asunto(s)

Cardiomiopatía Hipertrófica; Calidad de Vida; Cardiomiopatía Hipertrófica/diagnóstico; Cardiomiopatía Hipertrófica/genética; Humanos; Redes Neurales de la Computación; ARN; Factores de Transcripción

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Cardiomiopatía Hipertrófica Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Mediators Inflamm Asunto de la revista: BIOQUIMICA / PATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

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