Applications of artificial intelligence systems in the analysis of epidemiological data.

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

11 citing papers in PubMed.

1. The use of artificial intelligence to improve mycetoma management.PLoS neglected tropical diseases · 2024
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2. Identification of Psycho-Socio-Judicial Trajectories and Factors Associated With Posttraumatic Stress Disorder in People Over 15 Years of Age Who Recently Reported Sexual Assault to a Forensic Medical Center: Protocol for a Multicentric Prospective Study Using Mixed Methods and Artificial Intelligence.JMIR research protocols · 2023
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3. Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.The oncologist · 2019
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4. Modeling groundwater nitrate concentrations in private wells in Iowa.The Science of the total environment · 2015
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5. Comparison of algorithm-based estimates of occupational diesel exhaust exposure to those of multiple independent raters in a population-based case-control study.The Annals of occupational hygiene · 2013
   Article
6. Inside the black box: starting to uncover the underlying decision rules used in a one-by-one expert assessment of occupational exposure in case-control studies.Occupational and environmental medicine · 2013
   Article
7. Testing bias in clinical databases: methodological considerations.Emerging themes in epidemiology · 2010
   Article
8. Neural networks for modeling gene-gene interactions in association studies.BMC genetics · 2009
   Article
9. Reconstructing population exposures to environmental chemicals from biomarkers: challenges and opportunities.Journal of exposure science & environmental epidemiology · 2009
   Article
10. Nonlinear association between serum testosterone levels and coronary artery disease in Iranian men.European journal of epidemiology · 2009
    Article
11. Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing.IEEE intelligent systems
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as