ArticleInternational journal of environmental research and public health2020
Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Multi-domain prognostic models used in middle-aged adults without known cognitive impairment for predicting subsequent dementia.The Cochrane database of systematic reviews · 2023Pooled it
- Knowledge and attitudes of clinical physicians towards Alzheimer's disease and related dementias: an observational cross-sectional study from Palestine.BMC medical education · 2026Observational
- Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.BMC public health · 2024Article
- Predicting the onset of Alzheimer's disease and related dementia using electronic health records: findings from the cache county study on memory in aging (1995-2008).BMC medical informatics and decision making · 2024Article
- Predicting the onset of Alzheimer's disease and related dementia using Electronic Health Records: Findings from the Cache County Study on Memory in Aging (1995-2008).Research square · 2024Article
- Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification.Biomedicines · 2023Article
- Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia.Frontiers in bioengineering and biotechnology · 2023Article
- A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data.Journal of Alzheimer's disease : JAD · 2023Article
- An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning.Life (Basel, Switzerland) · 2022Article
- Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults.Journal of translational medicine · 2021Article
- Health Risk, Functional Markers and Cognitive Status in Institutionalized Older Adults: A Longitudinal Study.International journal of environmental research and public health · 2020Article
- What's New in Dementia Risk Prediction Modelling? An Updated Systematic Review.Dementia and geriatric cognitive disorders extraReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure or treatment to change its course is available. Since changes in the brains of affected individuals could be evidenced as early as 10 years before the onset of symptoms, prognosis research should consider this time frame. This study investigates a broad decision tree multifactorial approach for the prediction of dementia, considering 75 variables regarding demographic, social, lifestyle, medical history, biochemical tests, physical examination, psychological assessment and health instruments. Previous work on dementia prognoses with machine learning did not consider a broad range of factors in a large time frame. The proposed approach investigated predictive factors for dementia and possible prognostic subgroups. This study used data from the ongoing multipurpose Swedish National Study on Aging and Care, consisting of 726 subjects (91 presented dementia diagnosis in 10 years). The proposed approach achieved an AUC of 0.745 and Recall of 0.722 for the 10-year prognosis of dementia. Most of the variables selected by the tree are related to modifiable risk factors; physical strength was important across all ages. Also, there was a lack of variables related to health instruments routinely used for the dementia diagnosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.