ArticleScientific reports2016
COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer's disease.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.Nature aging · 2026Article
- Modeling and application of alzheimer's disease complex trait prediction based on multi-task learning.Scientific reports · 2026Article
- A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study.JMIR serious games · 2025Article
- Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Observational
- Auto-branch multi-task learning for simultaneous prediction of multiple correlated traits associated with Alzheimer's disease.Frontiers in genetics · 2025Article
- Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease.Frontiers in aging neuroscience · 2025Article
- Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- A Brief Review on the Potential of Psychedelics for Treating Alzheimer's Disease and Related Depression.International journal of molecular sciences · 2023Review
- A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data.Briefings in bioinformatics · 2022Article
- Prediction of All-Cause Mortality Based on Stress/Rest Myocardial Perfusion Imaging (MPI) Using Deep Learning: A Comparison between Image and Frequency Spectra as Input.Journal of personalized medicine · 2022Article
- Using dynamic microsimulation to project cognitive function in the elderly population.PloS one · 2022Article
- Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review.JAMIA open · 2021Review
- Current Cognition Tests, Potential Virtual Reality Applications, and Serious Games in Cognitive Assessment and Non-Pharmacological Therapy for Neurocognitive Disorders.Journal of clinical medicine · 2020Review
- Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study.JMIR medical informatics · 2020Article
- Prognostic model for multiple myeloma progression integrating gene expression and clinical features.GigaScience · 2019Article
- Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.Scientific reports · 2018Article
- A similarity-based approach to leverage multi-cohort medical data on the diagnosis and prognosis of Alzheimer's disease.GigaScience · 2018Article
- Longitudinal Study-Based Dementia Prediction for Public Health.International journal of environmental research and public health · 2017Article
- Clinical factors predicting the rate of cognitive decline in a US memory clinic: An electronic health record study.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
8 authors.
Funding
Abstract
We present COMPASS, a COmputational Model to Predict the development of Alzheimer's diSease Spectrum, to model Alzheimer's disease (AD) progression. This was the best-performing method in recent crowdsourcing benchmark study, DREAM Alzheimer's Disease Big Data challenge to predict changes in Mini-Mental State Examination (MMSE) scores over 24-months using standardized data. In the present study, we conducted three additional analyses beyond the DREAM challenge question to improve the clinical contribution of our approach, including: (1) adding pre-validated baseline cognitive composite scores of ADNI-MEM and ADNI-EF, (2) identifying subjects with significant declines in MMSE scores, and (3) incorporating SNPs of top 10 genes connected to APOE identified from functional-relationship network. For (1) above, we significantly improved predictive accuracy, especially for the Mild Cognitive Impairment (MCI) group. For (2), we achieved an area under ROC of 0.814 in predicting significant MMSE decline: our model has 100% precision at 5% recall, and 91% accuracy at 10% recall. For (3), "genetic only" model has Pearson's correlation of 0.15 to predict progression in the MCI group. Even though addition of this limited genetic model to COMPASS did not improve prediction of progression of MCI group, the predictive ability of SNP information extended beyond well-known APOE allele.
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