ArticleProceedings of machine learning research2019
Inferring Multidimensional Rates of Aging from Cross-Sectional Data.
Article in Proceedings of machine learning research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Interpretable machine learning for high-dimensional trajectories of aging health.PLoS computational biology · 2022Article
- Probabilistic Machine Learning for Healthcare.Annual review of biomedical data science · 2021Review
- A Variational Approximation for Analyzing the Dynamics of Panel Data.Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence · 2021Article
- A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach.Proceedings of machine learning research · 2021Article
- Generating synthetic aging trajectories with a weighted network model using cross-sectional data.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often
Identifiers
31538144PMC6752884What 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.