{"title":"应用文本挖掘来推进癌症研究","authors":"Si Yan, Y. Qi","doi":"10.18178/ijpmbs.4.2.132-135","DOIUrl":null,"url":null,"abstract":"Cancer is a malignant disease that has caused millions of human deaths. Text mining can help researchers discover hidden rules and relationships between documents so advanced cancer research. In this paper, we analyze the properties of text mining and cancer research documents. We discussed the research directions of text mining in cancer research with examples of systems and tools. In conclusion part, we talked about future way the text mining","PeriodicalId":281523,"journal":{"name":"International Journal of Pharma Medicine and Biological Sciences","volume":"330 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Apply Text Mining to Advance Cancer Research\",\"authors\":\"Si Yan, Y. Qi\",\"doi\":\"10.18178/ijpmbs.4.2.132-135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cancer is a malignant disease that has caused millions of human deaths. Text mining can help researchers discover hidden rules and relationships between documents so advanced cancer research. In this paper, we analyze the properties of text mining and cancer research documents. We discussed the research directions of text mining in cancer research with examples of systems and tools. In conclusion part, we talked about future way the text mining\",\"PeriodicalId\":281523,\"journal\":{\"name\":\"International Journal of Pharma Medicine and Biological Sciences\",\"volume\":\"330 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Pharma Medicine and Biological Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18178/ijpmbs.4.2.132-135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharma Medicine and Biological Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18178/ijpmbs.4.2.132-135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cancer is a malignant disease that has caused millions of human deaths. Text mining can help researchers discover hidden rules and relationships between documents so advanced cancer research. In this paper, we analyze the properties of text mining and cancer research documents. We discussed the research directions of text mining in cancer research with examples of systems and tools. In conclusion part, we talked about future way the text mining
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