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Machine Learning-Based Prediction of Lymph Node Metastasis in Proximal Gastric Cancer Using Seer Database

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inferredcites →https://doi.org/10.1001/jamasurg.2018.0501openalex-extracted
Practical Guide to Surgical Data Sets: Surveillance, Epidemiology, and End Results (SEER) Database
inferredcites →https://doi.org/10.1002/bjs.11928openalex-extracted
Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer
inferredcites →https://doi.org/10.1002/bjs.1800820321openalex-extracted
New method to evaluate the therapeutic value of lymph node dissection for gastric cancer
inferredcites →https://doi.org/10.1002/bjs.7310openalex-extracted
Changes in clinicopathological features and survival after gastrectomy for gastric cancer over a 20-year period
inferredcites →https://doi.org/10.1002/jso.23004openalex-extracted
Comparison of the clinicopathological characteristics of young and Elderly patients with gastric carcinoma: A meta analysis
inferredcites →https://doi.org/10.1007/pl00011720openalex-extracted
Incidence of lymph node metastasis from early gastric cancer: estimation with a large number of cases at two large centers
inferredcites →https://doi.org/10.1007/s00259-020-05128-8openalex-extracted
Nomogram for the prediction of primary distant metastasis of nasopharyngeal carcinoma to guide individualized application of FDG PET/CT
inferredcites →https://doi.org/10.1007/s10120-011-0041-5openalex-extracted
Japanese classification of gastric carcinoma: 3rd English edition
inferredcites →https://doi.org/10.1007/s10120-014-0377-8openalex-extracted
Long-term quality-of-life comparison of total gastrectomy and proximal gastrectomy by Postgastrectomy Syndrome Assessment Scale (PGSAS-45): a nationwide multi-institutional study
inferredcites →https://doi.org/10.1007/s13277-015-3864-6openalex-extracted
Histological mixed-type as an independent risk factor for nodal metastasis in submucosal gastric cancer
inferredcites →https://doi.org/10.1016/j.annonc.2020.04.003openalex-extracted
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
inferredcites →https://doi.org/10.1016/j.annonc.2022.07.004openalex-extracted
Gastric cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up
inferredcites →https://doi.org/10.1016/j.ejca.2010.02.013openalex-extracted
Trends in incidence, treatment and survival of gastric adenocarcinoma between 1990 and 2007: A population-based study in the Netherlands
inferredcites →https://doi.org/10.1016/j.gie.2017.09.025openalex-extracted
The incidence of lymph node metastasis in early gastric cancer according to the expanded criteria in comparison with the absolute criteria of the Japanese Gastric Cancer Association: a systematic review of the literature and meta-analysis
inferredcites →https://doi.org/10.1055/s-2007-966750openalex-extracted
Factors related to lymph node metastasis and the feasibility of endoscopic mucosal resection for treating poorly differentiated adenocarcinoma of the stomach
inferredcites →https://doi.org/10.1097/md.0000000000007874openalex-extracted
Risk factors for lymph node metastasis of early gastric cancers in patients younger than 40
inferredcites →https://doi.org/10.1097/md.0000000000033431openalex-extracted
High risk factors related to lymph node metastasis in early gastric cancer: A retrospective observational study
inferredcites →https://doi.org/10.1097/sla.0000000000001602openalex-extracted
A Risk-prediction Model Based on Lymph-node Metastasis for Incorporation Into a Treatment Algorithm for Signet Ring Cell-type Intramucosal Gastric Cancer
inferredcites →https://doi.org/10.1111/j.1440-1746.2006.04791.xopenalex-extracted
Predictive factors for lymph node metastasis and endoscopic treatment strategies for undifferentiated early gastric cancer
inferredcites →https://doi.org/10.1111/j.1440-1746.2008.05498.xopenalex-extracted
Long‐term outcome of endoscopic semiconductive diode laser irradiation therapy with injection of indocyanine green for early gastric cancer
inferredcites →https://doi.org/10.1111/j.1440-1746.2008.05572.xopenalex-extracted
Changing trends in the proportion of adenocarcinoma of the esophagogastric junction in a large tertiary referral center in Japan
inferredcites →https://doi.org/10.1186/s13104-016-2028-0openalex-extracted
The clinical utility curve: a proposal to improve the translation of information provided by prediction models to clinicians
inferredcites →https://doi.org/10.3389/fendo.2022.1054358openalex-extracted
Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma
inferredcites →https://doi.org/10.3748/wjg.v16.i41.5252openalex-extracted
Predictive factors for lymph node metastasis in early gastric cancer
inferredcites →https://doi.org/10.3760/cma.j.issn.0366-6999.20141566openalex-extracted
Proximal gastric cancer: lymph node metastatic patterns according to different T stages dictate surgical approach
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