Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis.

Huang, Shih-Hsun; Peng, Bing-Ru; Lin, Chih-Sheng; Tsai, Hui-Chieh; Pan, Lung-Fa; Pan, Lung-Kwang

Huang, Shih-Hsun; Peng, Bing-Ru; Lin, Chih-Sheng; Tsai, Hui-Chieh; Pan, Lung-Fa; Pan, Lung-Kwang.

Afiliación

Huang SH; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Peng BR; Department of Nursing, Taichung Armed Forces General Hospital, Taichung, Taiwan.
Lin CS; Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Tsai HC; Department of Radiology, BenQ Medical Center, The Affiliated BenQ Hospital of the Nanjing Medical University, Nanjing, Jiangsu, China.
Pan LF; Department of Nursing, Chung Shan Medical University, Taichung, Taiwan.
Pan LK; Department of Nursing, Taichung Armed Forces General Hospital, Taichung, Taiwan.

Technol Health Care ; 31(S1): 69-79, 2023.

Article en En | MEDLINE | ID: mdl-37038783

Asunto(s)

Algoritmos; Inteligencia Artificial; Humanos; Factores de Riesgo

Palabras clave

Clinical syndrome; artificial intelligence; biological index series; column matrix; inverse problem algorithm; nonlinear semi-empirical equation; risk factors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Países Bajos

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