{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T11:59:23Z","timestamp":1746187163093,"version":"3.37.3"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T00:00:00Z","timestamp":1696464000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T00:00:00Z","timestamp":1696464000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["Grant-in-Aid for Scientific Research(C) 20K07260","Grant-in-Aid for Scientific Research(C) 20K07260"],"award-info":[{"award-number":["Grant-in-Aid for Scientific Research(C) 20K07260","Grant-in-Aid for Scientific Research(C) 20K07260"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Given the increasing number of dementia patients worldwide, a new method was developed for machine learning models to identify the \u2018latent needs\u2019 of patients and caregivers to facilitate patient\/public involvement in societal decision making.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Japanese transcribed interviews with 53 dementia patients and caregivers were used. A new morpheme selection method using Z-scores was developed to identify trends in describing the latent needs. F-measures with and without the new method were compared using three machine learning models.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The F-measures with the new method were higher for the support vector machine (SVM) (F-measure of 0.81 with the new method and F-measure of 0.79 without the new method for patients) and Naive Bayes (F-measure of 0.69 with the new method and F-measure of 0.67 without the new method for caregivers and F-measure of 0.75 with the new method and F-measure of 0.73 without the new method for patients).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>A new scheme based on Z-score adaptation for machine learning models was developed to predict the latent needs of dementia patients and their caregivers by extracting data from interviews in Japanese. However, this study alone cannot be used to assign significance to the adaptation of the new method because of no enough size of sample dataset. Such pre-selection with Z-score adaptation from text data in machine learning models should be considered with more modified suitable methods in the near future.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12911-023-02303-3","type":"journal-article","created":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T13:01:41Z","timestamp":1696510901000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning"],"prefix":"10.1186","volume":"23","author":[{"given":"Nanae","family":"Tanemura","sequence":"first","affiliation":[]},{"given":"Tsuyoshi","family":"Sasaki","sequence":"additional","affiliation":[]},{"given":"Ryotaro","family":"Miyamoto","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Watanabe","sequence":"additional","affiliation":[]},{"given":"Michihiro","family":"Araki","sequence":"additional","affiliation":[]},{"given":"Junko","family":"Sato","sequence":"additional","affiliation":[]},{"given":"Tsuyoshi","family":"Chiba","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,5]]},"reference":[{"key":"2303_CR1","unstructured":"WHO. Dementia: a public health priority 2012 [Available from: https:\/\/www.who.int\/publications\/i\/item\/dementia-a-public-health-priority]."},{"key":"2303_CR2","unstructured":"Ninomiya T. Study on Future Estimates of the Elderly Population with Dementia in Japan 2015 [Available from: https:\/\/mhlw-grants.niph.go.jp\/system\/files\/2014\/141031\/201405037A\/201405037A0001.pdf]."},{"key":"2303_CR3","unstructured":"Cabinet Office. White book on ageing society (outline edition) 2016 [Available from: https:\/\/www8.cao.go.jp\/kourei\/whitepaper\/w-2016\/html\/gaiyou\/s1_2_3.html#:~:text=65%E6%AD%B3%E4%BB%A5%E4%B8%8A%E3%81%AE%E9%AB%98%E9%BD%A2%E8%80%85%E3%81%AE%E8%AA%8D%E7%9F%A5%E7%97%87%E6%82%A3%E8%80%85,1%EF%BC%8D2%EF%BC%8D12%EF%BC%89%E3%80%82]."},{"key":"2303_CR4","unstructured":"Ministry of Health Labour and Welfare. Comprehensive strategy to promote dementia policies (new orange plan) 2015 [Available from: https:\/\/www.mhlw.go.jp\/file\/06-Seisakujouhou-12300000-Roukenkyoku\/nop1-2_3.pdf]."},{"key":"2303_CR5","unstructured":"Japan Health Sciences Foundation. Medical needs assessment and emerging medical needs in 60 diseases 2014 [Available from: https:\/\/u-lab.my-pharm.ac.jp\/~soc-pharm\/achievements\/img\/index\/h26.pdf]."},{"key":"2303_CR6","volume-title":"Participative medicine and patients -connecting patients to live","author":"I Fujita","year":"2001","unstructured":"Fujita I. Participative medicine and patients -connecting patients to live. Kyoto: KOYO SHOBO Corporation; 2001."},{"key":"2303_CR7","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1007\/s40271-020-00436-5","volume":"13","author":"N Tanemura","year":"2020","unstructured":"Tanemura N, Sasaki T, Sato J, Urushihara H. Real World Survey of Patient Engagement Status in Clinical Research: the First Input from Japan. The Patient - Patient-Centered Outcomes Research. 2020;13:623\u201332.","journal-title":"The Patient - Patient-Centered Outcomes Research"},{"key":"2303_CR8","volume-title":"Across cultures","author":"ET Hall","year":"1993","unstructured":"Hall ET. Across cultures. Tokyo: TBS-BRITANNICA; 1993."},{"key":"2303_CR9","unstructured":"Muto K. Research on building a database of narratives of clinical trial participants and improving the quality of protection of human subjects 2014 [Available from: https:\/\/kaken.nii.ac.jp\/ja\/grant\/KAKENHI-PROJECT-24300294\/]."},{"issue":"1","key":"2303_CR10","doi-asserted-by":"publisher","first-page":"e10","DOI":"10.2196\/cancer.9050","volume":"4","author":"S McRoy","year":"2018","unstructured":"McRoy S, Rastegar-Mojarad M, Wang Y, Ruddy KJ, Haddad TC, Liu H. Assessing Unmet Information needs of breast Cancer survivors: exploratory study of Online Health Forums using text classification and Retrieval. 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On the use of preprocessing for improving the performance of evolutionary algorithms in data mining. In: Proceedings of the 2005 conference on Genetic and evolutionary computation. 2005. p. 2199\u2013206."},{"key":"2303_CR14","unstructured":"Shirota Y, Hashimoto T. Discovering potential prior expectations from word-of-mouth information on the web. Gakushuin Economic Papers. 2015;52(1)."},{"key":"2303_CR15","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1186\/1471-2105-9-205","volume":"9","author":"W Yu","year":"2008","unstructured":"Yu W, Clyne M, Dolan SM, Yesupriya A, Wulf A, Liu T, et al. GAPscreener: an automatic tool for screening human genetic association literature in PubMed using the support vector machine technique. BMC Bioinformatics. 2008;9:205.","journal-title":"BMC Bioinformatics"},{"key":"2303_CR16","doi-asserted-by":"crossref","unstructured":"Polavarapu N, Navathe SB, Ramnarayanan R, ul Haque A, Sahay S, Liu Y. 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Proc IEEE Comput Syst Bioinform Conf. 2005:366\u201374.","DOI":"10.1109\/CSB.2005.36"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-023-02303-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12911-023-02303-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-023-02303-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T19:15:00Z","timestamp":1700334900000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-023-02303-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,5]]},"references-count":16,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["2303"],"URL":"https:\/\/doi.org\/10.1186\/s12911-023-02303-3","relation":{},"ISSN":["1472-6947"],"issn-type":[{"type":"electronic","value":"1472-6947"}],"subject":[],"published":{"date-parts":[[2023,10,5]]},"assertion":[{"value":"13 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 October 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved on 2 December 2020 (no. 275) by the Ethics Committee for Research Involving Humans of the National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Japan. This study was conducted in accordance with the ethical standards established by the 1964 Declaration of Helsinki and its subsequent amendments. The view of the data providers (DIPEx-Japan) was that they explained and obtained written consent from the subjects stating that they would not be contacted on each occasion for secondary use of the anonymised information in the explanatory documents to the subjects. Therefore, the view of the data provider was that there was no need for the research institution receiving the existing information to opt out of the use of the anonymised information. Therefore, informed consent waiver for this study was approved by the Ethics Committee for Research Involving Humans of the National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Japan.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"203"}}