{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:01:19Z","timestamp":1761930079372,"version":"3.44.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/bibm47256.2019.8983306","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T02:49:51Z","timestamp":1581043791000},"page":"1318-1323","source":"Crossref","is-referenced-by-count":4,"title":["Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy"],"prefix":"10.1109","author":[{"given":"Jing","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology,Anhui,P.R. China"}]},{"given":"Anbo","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology,Anhui,P.R. China"}]},{"given":"Kui","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology,Anhui,P.R. China"}]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Management, University of Science and Technology of China,Anhui,P. R. China"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","first-page":"27","article-title":"Conditional likelihood maximization - a unifying framework for information theoretic feature selection[J]","volume":"13","author":"brown","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","article-title":"The feature selection problem: Traditional methods and a new algorithm","volume":"2","author":"kira","year":"1992","journal-title":"AAAI"},{"journal-title":"Pattern Classification","year":"2001","author":"duda","key":"ref13"},{"key":"ref14","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","author":"yu","year":"0","journal-title":"Proceedings of the 20th International Conference on Machine Learning (ICML-03)"},{"key":"ref15","article-title":"Laplacian score for feature selection","author":"he","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.04.037"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621091"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1118\/1.3528204"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.1543575"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2009.01.024"},{"key":"ref6","first-page":"382","article-title":"Artificial neural network-based classification system for lung nodules on computed tomography scans","author":"dand?l","year":"0","journal-title":"2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6091114"},{"key":"ref8","first-page":"8","article-title":"Computer-aided classification of lung nodules on computed tomography images via deep learning technique","author":"hua","year":"2015","journal-title":"OncoTargets and Therapy"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"24454","DOI":"10.1038\/srep24454","article-title":"Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans","volume":"6","author":"cheng","year":"2016","journal-title":"Scientific Reports"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1214726"},{"key":"ref1","first-page":"5465","article-title":"Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks.[J]","volume":"2013","author":"li","year":"0","journal-title":"Conf Proc IEEE Eng Med Biol Soc 2013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2013.170"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/a2041473"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"}],"event":{"name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2019,11,18]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8965270\/8982928\/08983306.pdf?arnumber=8983306","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:23:49Z","timestamp":1756754629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8983306\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bibm47256.2019.8983306","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}