Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis.

Wu, Yanqian; Chao, Jianqian; Bao, Min; Zhang, Na

Wu, Yanqian; Chao, Jianqian; Bao, Min; Zhang, Na.

Afiliación

Wu Y; Key Laboratory of Environmental Medicine Engineering of Ministry of Education/Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Chao J; Key Laboratory of Environmental Medicine Engineering of Ministry of Education/Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, China chaoseu@163.com.
Bao M; Key Laboratory of Environmental Medicine Engineering of Ministry of Education/Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Zhang N; Key Laboratory of Environmental Medicine Engineering of Ministry of Education/Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, China.

BMJ Open ; 13(12): e071430, 2023 12 09.

Article en En | MEDLINE | ID: mdl-38070927

Asunto(s)

Osteoporosis; Fracturas Osteoporóticas; Humanos; Densidad Ósea; Reproducibilidad de los Resultados; Osteoporosis/complicaciones; Osteoporosis/diagnóstico; Osteoporosis/epidemiología; Fracturas Osteoporóticas/etiología; Medición de Riesgo/métodos

Palabras clave

Fractures; Machine learning; Meta-Analysis; Osteoporosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoporosis / Fracturas Osteoporóticas Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: BMJ Open Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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