{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:41:55Z","timestamp":1782578515159,"version":"3.54.5"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) grant funded by the Korea government","doi-asserted-by":"publisher","award":["2019R1F1A1058651"],"award-info":[{"award-number":["2019R1F1A1058651"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3025553","type":"journal-article","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T21:24:35Z","timestamp":1600723475000},"page":"177708-177720","source":"Crossref","is-referenced-by-count":99,"title":["Prediction Model of Dementia Risk Based on XGBoost Using Derived Variable Extraction and Hyper Parameter Optimization"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3618-8896","authenticated-orcid":false,"given":"Seong-Eun","family":"Ryu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2616-0865","authenticated-orcid":false,"given":"Dong-Hoon","family":"Shin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6439-9992","authenticated-orcid":false,"given":"Kyungyong","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.dadm.2016.07.003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3206157.3206158"},{"key":"ref33","article-title":"Min-Mid-Max scaling, limits of agreement, and agreement score","author":"safak","year":"2020","journal-title":"arXiv 2006 12904"},{"key":"ref32","first-page":"45","article-title":"Min max normalization based data perturbation method for privacy protection","volume":"2","author":"jain","year":"2011","journal-title":"Int J of Computer and Communication Technology"},{"key":"ref31","first-page":"800","article-title":"2D human pose estimation based on object detection using RGB-D information","volume":"12","author":"park","year":"2018","journal-title":"KSII Trans Internet Inf Syst South Korea"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1176\/jnp.13.4.471"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3837\/tiis.2011.11.014"},{"key":"ref36","article-title":"An improved approach for 3D hand pose estimation based on a single depth image and haar random forest","volume":"9","author":"kim","year":"2015","journal-title":"KSII Trans Internet Inf Syst South Korea"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2019.105405"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9020219"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/ageing\/afaa007"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.trci.2019.11.001"},{"key":"ref11","article-title":"Predicting dementia with routine care EMR data","volume":"102","author":"miled","year":"2020","journal-title":"Artif Intell Med"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref13","first-page":"33","article-title":"Tree boosting with XGboost&#x2014;Why does XGboost win &#x2018;every&#x2019; machine learning competition","author":"nielsen","year":"2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0972-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz734"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7465\/jkdi.2019.30.3.655"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10799-019-00304-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44775-9_3"},{"key":"ref19","first-page":"1","article-title":"Alzheimer&#x2019;s disease and dementia detection from 3D brain MRI data using deep convolutional neural networks","author":"ullah","year":"2018","journal-title":"Proc 3rd Int Conf Converg Technol (I2CT)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2007.19.9.1498"},{"key":"ref4","year":"2020","journal-title":"World population prospects"},{"key":"ref27","year":"2020","journal-title":"Open Access Series of Imaging Studies (OASIS)"},{"key":"ref3","year":"2020","journal-title":"Statistics Korea"},{"key":"ref6","year":"2020","journal-title":"Ministry of Health and Welfare Central Dementia Center"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00197"},{"key":"ref5","year":"2020","journal-title":"National Health Insurance Corporation"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/app10082956"},{"key":"ref7","first-page":"6","article-title":"Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer&#x2019;s disease in people with mild cognitive impairment","author":"lombardi","year":"2020","journal-title":"Cochrane Database Systematic Rev"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968393"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-1033-7"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(19)30290-X"},{"key":"ref20","first-page":"213","article-title":"A novel deep learning based multi-class classification method for Alzheimer&#x2019;s disease detection using brain MRI data","volume":"10654","author":"islam","year":"2017","journal-title":"Proc Int Conf Brain Inf"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10799-019-00300-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-169980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-015-9292-3"},{"key":"ref23","first-page":"22","article-title":"Identifying dementia in MRI scans using artificial neural network and K-nearest neighbor","volume":"1","author":"manandhar","year":"2016","journal-title":"Zerone Scholar"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-019-00738-y"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-019-00791-7"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09201455.pdf?arnumber=9201455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:04Z","timestamp":1639770964000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9201455\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3025553","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}