Honghuang Lin to Machine Learning
This is a "connection" page, showing publications Honghuang Lin has written about Machine Learning.
Connection Strength
1.921
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Ye Z, Zai A, Wang B, Bennett A, Guilarte-Walker YG, Wong K, Zai AH, Erban S, Lin H. Leveraging routine clinical data for dementia risk prediction using machine learning. J Alzheimers Dis. 2026 Jun; 111(4):1516-1526.
Score: 0.828
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Lin H, Himali JJ, Satizabal CL, Beiser AS, Levy D, Benjamin EJ, Gonzales MM, Ghosh S, Vasan RS, Seshadri S, McGrath ER. Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study. Cells. 2022 04 30; 11(9).
Score: 0.629
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Frank B, Gurnani A, Hurley L, Guan C, Andersen SL, Devine SA, O'Connor MK, Budson A, Liu C, Lin H, Auerbach S, Liu Y, Libon DJ, Price CC, Farrer L, Mez J, Ang A, Au R. Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. J Int Neuropsychol Soc. 2026 Mar; 32(3):243-254.
Score: 0.207
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Ding H, Mandapati A, Hamel AP, Karjadi C, Ang TFA, Xia W, Au R, Lin H. Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study. J Alzheimers Dis. 2023; 96(1):277-286.
Score: 0.165
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Liu S, Park T, Kr?ger DM, Pena-Centeno T, Burkhardt S, Schutz AL, Huang YN, Rosewood T, Chaudhuri S, Cho M, Risacher SL, Wan Y, Shaw LM, Sananbenesi F, Brodsky AS, Lin H, Krunic A, Blusztajn JK, Saykin AJ, Delalle I, Fischer A, Nho K. Plasma miRNAs across the Alzheimer's disease continuum: Relationship to central biomarkers. Alzheimers Dement. 2024 11; 20(11):7698-7714.
Score: 0.046
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Ding H, Lister A, Karjadi C, Au R, Lin H, Bischoff B, Hwang PH. Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study. JMIR Aging. 2024 Aug 22; 7:e55126.
Score: 0.046