Machine Learning Improves the Prediction Rate of Non-Curative Resection of Endoscopic Submucosal Dissection in Patients with Early Gastric Cancer

SIMPLE SUMMARY: Endoscopic submucosal dissection (ESD) is accepted as a standard treatment for early gastric cancer (EGC). Non-curative resection (NCR) of EGC after ESD can increase the burden of additional treatment and medical expenses. Thus, we aimed to develop a machine-learning (ML)-based NCR p...

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Detalles Bibliográficos
Autores principales: Yun, Hae-Ryong, Huh, Cheal Wung, Jung, Da Hyun, Lee, Gyubok, Son, Nak-Hoon, Kim, Jie-Hyun, Youn, Young Hoon, Park, Jun Chul, Shin, Sung Kwan, Lee, Sang Kil, Lee, Yong Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367410/
https://www.ncbi.nlm.nih.gov/pubmed/35954406
http://dx.doi.org/10.3390/cancers14153742

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367410/
https://www.ncbi.nlm.nih.gov/pubmed/35954406
http://dx.doi.org/10.3390/cancers14153742

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