Using a Decision Tree Algorithm Predictive Model for Sperm Count Assessment and Risk Factors in Health Screening Population

PURPOSE: Approximately 20% of couples face infertility challenges and struggle to conceive naturally. Despite advances in artificial reproduction, its success hinges on sperm quality. Our previous study used five machine learning (ML) algorithms, random forest, stochastic gradient boosting, least ab...

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Detalles Bibliográficos
Autores principales: Huang, Hung-Hsiang, Lu, Chi-Jie, Jhou, Mao-Jhen, Liu, Tzu-Chi, Yang, Chih-Te, Hsieh, Shang-Ju, Yang, Wen-Jen, Chang, Hsiao-Chun, Chen, Ming-Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658962/
https://www.ncbi.nlm.nih.gov/pubmed/38024496
http://dx.doi.org/10.2147/RMHP.S433193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658962/
https://www.ncbi.nlm.nih.gov/pubmed/38024496
http://dx.doi.org/10.2147/RMHP.S433193

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