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In this paper, we apply machine learning methods on the GSI analysis of lymph node metastasis in gastric cancer. First, we use some feature selection or metric learning methods to reduce data dimension and feature space. We then employ the K-nearest neighbor classifier to distinguish lymph node metastasis from nonlymph node metastasis. The experiment involved 38 lymph node samples in gastric cancer, showing an overall accuracy of 96.33%. Compared with that of traditional diagnostic methods, such as helical CT (sensitivity 75.2% and specificity 41.8%) and multidetector computed tomography (82.09%), the diagnostic accuracy of lymph node metastasis is high. GSI-CT can then be the optimal choice for the preoperative diagnosis of patients with gastric cancer in the N staging.<\/jats:p>","DOI":"10.1155\/2012\/876545","type":"journal-article","created":{"date-parts":[[2012,10,24]],"date-time":"2012-10-24T21:01:57Z","timestamp":1351112517000},"page":"1-11","source":"Crossref","is-referenced-by-count":71,"title":["Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer"],"prefix":"10.1155","volume":"2012","author":[{"given":"Chao","family":"Li","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China"}]},{"given":"Shuheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China"}]},{"given":"Huan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China"}]},{"given":"Lifang","family":"Pang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China"}]},{"given":"Kinman","family":"Lam","sequence":"additional","affiliation":[{"name":"Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong"}]},{"given":"Chun","family":"Hui","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China"}]},{"given":"Su","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.20107"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-011-9780-3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1002\/jso.21134"},{"issue":"4","key":"5","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1177\/000313480707300410","volume":"73","year":"2007","journal-title":"American Surgeon"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3390\/cancers3022141"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1002\/jso.20929"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejso.2012.01.012"},{"key":"9","first-page":"181","volume":"17","year":"2011","journal-title":"Diagnostic and Interventional Radiology"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1002\/jso.21316"},{"issue":"3","key":"11","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1148\/radiology.197.3.7480743","volume":"197","year":"1995","journal-title":"Radiology"},{"key":"12","volume-title":"Gemstone detector: dual energy imaging via fast kvp switching","year":"2011"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1118\/1.3551999"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-011-0835-0"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2011.01.002"},{"key":"24","first-page":"1027","volume":"8","year":"2007","journal-title":"Journal of Machine Learning Research"},{"key":"25","first-page":"207","volume":"10","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"26","year":"2007"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/876545.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/876545.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2012\/876545.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,30]],"date-time":"2022-01-30T14:15:27Z","timestamp":1643552127000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2012\/876545\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":19,"alternative-id":["876545","876545"],"URL":"https:\/\/doi.org\/10.1155\/2012\/876545","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}