{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T01:35:45Z","timestamp":1792892145883,"version":"4.5.0"},"reference-count":43,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2023-00237287, NRF-2021S1A5A8062526"],"award-info":[{"award-number":["RS-2023-00237287, NRF-2021S1A5A8062526"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to create a robust and interpretable method for predicting dementia in Parkinson's disease (PD), especially in resource-limited settings. The model aims to be accurate even with small datasets and missing values, ultimately promoting its use in clinical practice to benefit patients and medical professionals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Our study introduces LightGBM\u2013TabPFN, a novel hybrid model for predicting dementia conversion in PD. Combining LightGBM's strength in handling missing values with TabPFN's ability to exploit small datasets, LightGBM\u2013TabPFN outperforms seven existing methods, achieving outstanding accuracy and interpretability thanks to SHAP analysis. This analysis leverages data from 242 PD patients across 17 variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our LightGBM\u2013TabPFN model significantly outperformed seven existing methods. Achieving an accuracy of 0.9592 and an area under the ROC curve of 0.9737.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The interpretable LightGBM\u2013TabPFN with SHAP signifies a significant advancement in predictive modeling for neurodegenerative diseases. This study not only improves dementia prediction in PD but also provides clinical professionals with insights into model predictions, offering opportunities for application in clinical settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076241272585","type":"journal-article","created":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T08:58:42Z","timestamp":1723798722000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Predicting dementia in Parkinson's  disease on a small tabular dataset using  hybrid LightGBM\u2013TabPFN and SHAP"],"prefix":"10.1177","volume":"10","author":[{"given":"Vinh Quang","family":"Tran","sequence":"first","affiliation":[{"name":"Department of Digital Anti-Aging Healthcare (BK21), Inje University, Gimhae, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3363-390X","authenticated-orcid":false,"given":"Haewon","family":"Byeon","sequence":"additional","affiliation":[{"name":"Department of Digital Anti-Aging Healthcare (BK21), Inje University, Gimhae, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,8,16]]},"reference":[{"key":"bibr1-20552076241272585","unstructured":"Parkinson\u2019s Disease.\n                      Alzheimer\u2019s disease and dementia\n                      , https:\/\/alz.org\/alzheimers-dementia\/what-is-dementia\/types-of-dementia\/parkinson-s-disease-dementia (accessed 18 December 2023)."},{"key":"bibr2-20552076241272585","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2012.00088"},{"key":"bibr3-20552076241272585","unstructured":"Dementia, https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/dementia (accessed 18 December 2023)."},{"key":"bibr4-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1177\/1178632917694350"},{"key":"bibr5-20552076241272585","doi-asserted-by":"publisher","DOI":"10.2147\/DNND.S228939"},{"key":"bibr6-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD001394"},{"key":"bibr7-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1016\/j.archger.2008.12.004"},{"key":"bibr8-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942390"},{"key":"bibr9-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1002\/alz.12948"},{"key":"bibr10-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-74399-w"},{"key":"bibr11-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2007.09.001"},{"key":"bibr12-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2012.06.001"},{"key":"bibr13-20552076241272585","doi-asserted-by":"publisher","DOI":"10.5498\/wjp.v12.i8.1031"},{"key":"bibr14-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-35488-8"},{"key":"bibr15-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-009-9153-8"},{"key":"bibr16-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"bibr17-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-0716-1418-1"},{"key":"bibr18-20552076241272585","unstructured":"Hollmann N, M\u00fcller S, Eggensperger K, et al. TabPFN: A transformer that solves small tabular classification problems in a second, http:\/\/arxiv.org\/abs\/2207.01848 (2023, accessed 20 December 2023)."},{"key":"bibr19-20552076241272585","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2112.10510"},{"key":"bibr20-20552076241272585","unstructured":"Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need, http:\/\/arxiv.org\/abs\/1706.03762 (2023, accessed 20 December 2023)."},{"key":"bibr21-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.99"},{"key":"bibr22-20552076241272585","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09709-4"},{"key":"bibr23-20552076241272585","unstructured":"Batista G, Monard M-C. 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