{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T16:59:34Z","timestamp":1769792374416,"version":"3.49.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002349","name":"Academy of Scientific Research and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002349","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9891916","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Prediction of The Gleason Group of Prostate Cancer from Clinical Biomarkers: Machine and Deep Learning from Tabular Data"],"prefix":"10.1109","author":[{"given":"Ahmed","family":"Mamdouh","sequence":"first","affiliation":[{"name":"Assiut University,Elect. Eng. Department,Assiut,Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moumen T.","family":"El-Melegy","sequence":"additional","affiliation":[{"name":"Assiut University,Elect. Eng. Department,Assiut,Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samia A.","family":"Ali","sequence":"additional","affiliation":[{"name":"Assiut University,Elect. Eng. Department,Assiut,Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayman S.","family":"El-Baz","sequence":"additional","affiliation":[{"name":"University of Louisville,Bioengineering Department,Louisville,KY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"ref31","first-page":"3","author":"geurts","year":"2006","journal-title":"L Extremely randomized trees Mach Learn 63"},{"key":"ref30","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning Morgan Kaufmann Publishers"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513365"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.prnil.2019.01.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00345-020-03392-9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.22465\/kjuo.2019.17.2.110"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref16","first-page":"3146","article-title":"A highly efficient gradient boosting decision tree","volume":"30","author":"ke","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EIT48999.2020.9208240"},{"key":"ref19","first-page":"147","volume":"14","author":"felix","year":"2021","journal-title":"Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/bimj.201000215"},{"key":"ref4","author":"matoso","year":"2022","journal-title":"Defining clinically significant prostate cancer on the basis of pathological findings"},{"key":"ref27","author":"alec","year":"2015","journal-title":"Unsupervised representation learning with deep convolutional generative adversarial networks"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-5347(17)35233-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/00000478-199607000-00008"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105662"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.1097\/01.ju.0000173633.56174.c4","article-title":"Chan and Epstein, Patient and urologist driven second opinion of prostate needle biopsies","volume":"174","year":"2005","journal-title":"The Journal of Urology"},{"key":"ref8","first-page":"14","article-title":"Random Decision Forest. Proceedings of the 3rd Inter-national Conference on Document Analysis and Recognition","author":"ho","year":"1995","journal-title":"Montreal"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14740\/wjon1191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21590"},{"key":"ref20","author":"anna","year":"2018","journal-title":"Catboost gradient boosting with categorical features support"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"129","DOI":"10.3390\/data4030129","article-title":"Predicting High-Risk Prostate Cancer Using Machine Learning Methods","volume":"4","author":"mao","year":"2019","journal-title":"data"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41136-6_5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2147\/CMAR.S286167"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1097\/JU.0000000000000973.02"},{"key":"ref26","article-title":"C4.5: Programs for machine learning","author":"quinlan","year":"1993","journal-title":"Morgan Kaufmann Publishers"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"6679","DOI":"10.1609\/aaai.v35i8.16826","volume":"35","author":"arik","year":"2021","journal-title":"TabNet Attentive Interpretable Tabular Learning Proceedings of the AAAI Conference on Artificial Intelligence"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09891916.pdf?arnumber=9891916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:57:33Z","timestamp":1667516253000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9891916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9891916","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}