ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019
Machine Learning in Aging Research.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- Use of pulse pressure index for cardiovascular outcomes assessment and development of a coronary heart disease model for the elderly.BMC cardiovascular disorders · 2025Article
- Integrating Machine Learning with Multi-Omics Technologies in Geroscience: Towards Personalized Medicine.Journal of personalized medicine · 2024Review
- Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis.Mathematics (Basel, Switzerland) · 2024Article
- Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Article
- Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study.Aging clinical and experimental research · 2022Article
- Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Machine Learning to Develop and Internally Validate a Predictive Model for Post-operative Delirium in a Prospective, Observational Clinical Cohort Study of Older Surgical Patients.Journal of general internal medicine · 2021Observational
- Biomarkers for Aging Identified in Cross-sectional Studies Tend to Be Non-causative.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Article
- Functional Analysis of Continuous, High-Resolution Measures in Aging Research: A Demonstration Using Cerebral Oxygenation Data From the Irish Longitudinal Study on Aging.Frontiers in human neuroscience · 2020Article
- Shared mechanisms for cognitive impairment and physical frailty: A model for complex systems.Alzheimer's & dementia (New York, N. Y.) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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Identifiers
What OpenQuestion holds
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.