This paper is in the following e-collection/theme issue:

Dementia and Cognitive Decline (481) Machine Learning (1465) Decision Support for Health Professionals (1185) Natural Language Processing (692) Diagnostic Tools in Mental Health (242) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Ontologies, Classifications, and Coding (239)

Published on in Vol 8, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27113, first published .
Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study

Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study

Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study

Authors of this article:

Haomiao Jin1 Author Orcid Image ;   Sandy Chien1 Author Orcid Image ;   Erik Meijer1, 2 Author Orcid Image ;   Pranali Khobragade1 Author Orcid Image ;   Jinkook Lee1, 2, 3 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Bloom D, Sekher T, Lee J. Longitudinal Aging Study in India (LASI): new data resources for addressing aging in India. Nature Aging 2021;1(12):1070 View
  2. Wang K, Zhang L, Li L, Wang Y, Zhong X, Hou C, Zhang Y, Sun C, Zhou Q, Wang X. Identification of Drug-Induced Liver Injury Biomarkers from Multiple Microarrays Based on Machine Learning and Bioinformatics Analysis. International Journal of Molecular Sciences 2022;23(19):11945 View
  3. Lee J, Meijer E, Langa K, Ganguli M, Varghese M, Banerjee J, Khobragade P, Angrisani M, Kurup R, Chakrabarti S, Gambhir I, Koul P, Goswami D, Talukdar A, Mohanty R, Yadati R, Padmaja M, Sankhe L, Rajguru C, Gupta M, Kumar G, Dhar M, Chatterjee P, Singhal S, Bansal R, Bajpai S, Desai G, Rao A, Sivakumar P, Muliyala K, Bhatankar S, Chattopadhyay A, Govil D, Pedgaonkar S, Sekher T, Bloom D, Crimmins E, Dey A. Prevalence of dementia in India: National and state estimates from a nationwide study. Alzheimer's & Dementia 2023;19(7):2898 View
  4. Javeed A, Dallora A, Berglund J, Ali A, Ali L, Anderberg P. Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions. Journal of Medical Systems 2023;47(1) View
  5. McKenzie K, Mahnken J. Simulating and estimating agreement in the presence of multiple raters and covariates. Statistics in Medicine 2023;42(11):1687 View
  6. Jin H, Crimmins E, Langa K, Dey A, Lee J. Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach. Neuroepidemiology 2023;57(1):43 View
  7. Lee S, Hecker J, Hahn G, Mullin K, Lutz S, Tanzi R, Lange C, Prokopenko D. On the effect heterogeneity of established disease susceptibility loci for Alzheimer's disease across different genetic ancestries. Alzheimer's & Dementia 2024;20(5):3397 View

Books/Policy Documents

  1. Chen Z, Liu Y, Zhang Y, Zhu J, Li Q. Neural Information Processing. View