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Connection

Honghuang Lin to Machine Learning

This is a "connection" page, showing publications Honghuang Lin has written about Machine Learning.
Connection Strength

0.975
  1. 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).
    View in: PubMed
    Score: 0.692
  2. 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.
    View in: PubMed
    Score: 0.181
  3. 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 Nov; 20(11):7698-7714.
    View in: PubMed
    Score: 0.051
  4. 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.
    View in: PubMed
    Score: 0.051
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.