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Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.

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Title: Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
Authors: Bhattarai, Kritib1, Rajaganapathy, Sivaraman2, Das, Trisha3, Kim, Yejin4, Chen, Yongbin2, Initiative, The Alzheimer's Disease Neuroimaging, Ageing, The Australian Imaging Biomarkers and Lifestyle Flagship Study of, Dai, Qiying2, Li, Xiaoyang2, Jiang, Xiaoqian4, Zong, Nansu2, zong.nansu@mayo.edu
Source: Journal of the American Medical Informatics Association; Oct2023, Vol. 30 Issue 10, p1645-1656, 12p, 1 Diagram, 3 Charts, 5 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 172759092
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
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  Data: <searchLink fieldCode="AU" term="%22Bhattarai%2C+Kritib%22">Bhattarai, Kritib</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Rajaganapathy%2C+Sivaraman%22">Rajaganapathy, Sivaraman</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Das%2C+Trisha%22">Das, Trisha</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Kim%2C+Yejin%22">Kim, Yejin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Yongbin%22">Chen, Yongbin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Initiative%2C+The+Alzheimer's+Disease+Neuroimaging%22">Initiative, The Alzheimer's Disease Neuroimaging</searchLink><br /><searchLink fieldCode="AU" term="%22Ageing%2C+The+Australian+Imaging+Biomarkers+and+Lifestyle+Flagship+Study+of%22">Ageing, The Australian Imaging Biomarkers and Lifestyle Flagship Study of</searchLink><br /><searchLink fieldCode="AU" term="%22Dai%2C+Qiying%22">Dai, Qiying</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xiaoyang%22">Li, Xiaoyang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Xiaoqian%22">Jiang, Xiaoqian</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Zong%2C+Nansu%22">Zong, Nansu</searchLink><relatesTo>2</relatesTo>, <i>zong.nansu@mayo.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Oct2023, Vol. 30 Issue 10, p1645-1656, 12p, 1 Diagram, 3 Charts, 5 Graphs
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=172759092
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/jamia/ocad135
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      – Code: eng
        Text: English
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      – TitleFull: Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.
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            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
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