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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accuracy of screening to classify patients at high or low...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712020/ https://www.ncbi.nlm.nih.gov/pubmed/31455831 http://dx.doi.org/10.1038/s41598-019-48769-y |