Classification of the urinary metabolome using machine learning and potential applications to diagnosing interstitial cystitis

With the advent of artificial intelligence (AI) in biostatistical analysis and modeling, machine learning can potentially be applied into developing diagnostic models for interstitial cystitis (IC). In the current clinical setting, urologists are dependent on cystoscopy and questionnaire-based decis...

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Detalles Bibliográficos
Autores principales: Tong, Feng, Shahid, Muhammad, Jin, Peng, Jung, Sungyong, Kim, Won Hwa, Kim, Jayoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bladder 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401992/
https://www.ncbi.nlm.nih.gov/pubmed/32775485
http://dx.doi.org/10.14440/bladder.2020.815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401992/
https://www.ncbi.nlm.nih.gov/pubmed/32775485
http://dx.doi.org/10.14440/bladder.2020.815

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