{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:29:12Z","timestamp":1777735752986,"version":"3.51.4"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Research Foundation (NRF) funded by Korean Government","award":["RS-2023-00212713"],"award-info":[{"award-number":["RS-2023-00212713"]}]},{"name":"Korea Institute for Advancement of Technology (KIAT) funded by Korean Government (MOTIE) through the Competency Development Program for Industry Specialist","award":["P0020649"],"award-info":[{"award-number":["P0020649"]}]},{"name":"BK21 FOUR funded by the Ministry of Education of Korea and National Research Foundation of Korea"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3405009","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T17:26:06Z","timestamp":1716571566000},"page":"74251-74267","source":"Crossref","is-referenced-by-count":10,"title":["Multimodal Reinforcement Learning for Embedding Networks and Medication Recommendation in Parkinson\u2019s Disease"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7392-165X","authenticated-orcid":false,"given":"Hongbum","family":"Kim","sequence":"first","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9530-9024","authenticated-orcid":false,"given":"Chanyoung","family":"Park","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"}]},{"given":"Jong","family":"Hoon Kim","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7723-6357","authenticated-orcid":false,"given":"Sejeong","family":"Jang","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0735-662X","authenticated-orcid":false,"given":"Hyo Kyung","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(21)00218-X"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2007.131045"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.05.154"},{"issue":"1","key":"ref4","first-page":"1","article-title":"Parkinsons disease prediction using artificial neural network","volume":"3","author":"Sadek","year":"2019","journal-title":"Int. J. Academic Health Med. Res."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2020.109603"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-020-00156-7"},{"issue":"2","key":"ref7","first-page":"1648","article-title":"A survey of machine learning based approaches for Parkinson disease prediction","volume":"6","author":"Bind","year":"2015","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113075"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101748"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41531-022-00288-w"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22340"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2018-318337"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/mds.23346"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2016.04.026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2015.0703"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awx118"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2018.4377"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-002-1204-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2019.22360"},{"key":"ref20","first-page":"4856","article-title":"Medical dead-ends and learning to identify high-risk states and treatments","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Fatemi"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.104267"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3259425"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3643856"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-023-00755-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175311"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2023.4747"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-59179-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0293123"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-88619-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocad135"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2011.09.005"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1017\/cjn.2015.328"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/mds.21505"},{"issue":"5","key":"ref35","first-page":"S97","article-title":"Effective and efficient diagnosis of parkinsonism: The role of dopamine transporter SPECT imaging with ioflupane I-123 injection (DaTscanTM)","volume":"20","author":"Cummings","year":"2014","journal-title":"Amer. J. Managed Care"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000001098"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.kint.2022.04.022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029898"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref41","article-title":"Playing Atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/mds.23429"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.68.6.685"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.2174\/1871527316666170124165222"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/mpr.329"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemrev.3c00189"},{"issue":"11","key":"ref47","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10538276.pdf?arnumber=10538276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T17:40:27Z","timestamp":1717177227000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10538276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3405009","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}