ArticlePLoS medicine2018
Transforming health policy through machine learning.
Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Mitigating antimicrobial resistance by innovative solutions in AI (MARISA): a modified James Lind Alliance analysis.npj antimicrobials and resistance · 2025Article
- Consistency Analysis of Practice Orientation of the Healthy Enterprise Program in China.BMC public health · 2025Article
- Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia.Scientific reports · 2024Article
- Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review.International journal of environmental research and public health · 2024Article
- Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.Scientific reports · 2024Article
- Article
- The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia.Scientific reports · 2023Article
- Attributes That Influence Human Decision-Making in Complex Health Services: Scoping Review.JMIR human factors · 2023Article
- Data saves lives: optimising routinely collected clinical data for rare disease research.Orphanet journal of rare diseases · 2023Article
- Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach.JMIR AI · 2023Article
- Nurses' Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions.JMIR nursing · 2023Article
- Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment.Frontiers in public health · 2023Article
- Forecasting the COVID-19 vaccine uptake rate: an infodemiological study in the US.Human vaccines & immunotherapeutics · 2022Article
- Human Decision-making in an Artificial Intelligence-Driven Future in Health: Protocol for Comparative Analysis and Simulation.JMIR research protocols · 2022Article
- Machine Learning Algorithms for understanding the determinants of under-five Mortality.BioData mining · 2022Article
- Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.Circulation research · 2022Review
- Individual Factors Associated With COVID-19 Infection: A Machine Learning Study.Frontiers in public health · 2022Article
- Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017.PLOS global public health · 2021Article
- Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers.Scientific reports · 2020Article
- Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.PloS one · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
Indexed as
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.