Semantic text mining in early drug discovery for type 2 diabetes
نویسندگان
چکیده
منابع مشابه
Text Mining - Next Steps For Drug Discovery
The text mining community has shown significant impact for use of text mining in drug discovery and basic research. So far, there have been a lot of point solutions that have solved a particular problem or augmented a valuable database. The next step is integrating text mining as part of the entire literature analytic solution and delivering it effectively and comprehensively to support researc...
متن کاملFlexible Text Mining Strategies for Drug Discovery
The two text mining strategies: finding co-occurrences of biological entities within documents, and finding relationships using Natural Language Processing, are often seen as competitors. Here we adopt a flexible approach where the techniques are adapted and combined to suit the nature of the document corpus, and the specific task. The approach was tested on three tasks relevant to cancer treat...
متن کاملDiscovery and Explanation of Drug-Drug Interactions via Text Mining
Drug-drug interactions (DDIs) can occur when two drugs interact with the same gene product. Most available information about gene-drug relationships is contained within the scientific literature, but is dispersed over a large number of publications, with thousands of new publications added each month. In this setting, automated text mining is an attractive solution for identifying gene-drug rel...
متن کاملComparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes
Background: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to identify the risk factors associated with type 2 diabetes. In this light, artificial neural network (ANN), support vector machines (SVMs), and multi...
متن کاملDesigning an intelligent system for diagnosing type 2 diabetes using the data mining approach: brief report
Background: Diabetes mellitus has several complications. The Late diagnosis of diabetes in people leads to the spread of complications. Therefore, this study has been done to determine the possibility of predicting diabetes type 2 by using data mining techniques. Methods: This is a descriptive-analytic study that was conducted as a cross-sectional study. The study population included people re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2020
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0233956