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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Bladder
2020
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| Materias: | |
| 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 |