ArticleJACC. Basic to translational science2018
Are Synthetic Data Derivatives the Future of Translational Medicine?
Article in JACC. Basic to translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Synthetic Data Generation and Nonparametric Techniques for Assessing Multivariate Similarity to Address Small-Sample Size Challenges.bioRxiv : the preprint server for biology · 2026Article
- Exploring the perceptions and acceptability of an integrated lifestyle database for public health research and service commissioning: a qualitative study.Perspectives in public health · 2024Review
- SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024Article
- Leveraging Artificial Intelligence and Synthetic Data Derivatives for Spine Surgery Research.Global spine journal · 2023Article
- Techniques to produce and evaluate realistic multivariate synthetic data.Scientific reports · 2023Article
- A Multifaceted benchmarking of synthetic electronic health record generation models.Nature communications · 2022Article
- Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application.Sensors (Basel, Switzerland) · 2022Article
- Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).Journal of the American Medical Informatics Association : JAMIA · 2022Article
- The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data.Journal of medical Internet research · 2021Article
- Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: Results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).medRxiv : the preprint server for health sciences · 2021Article
- Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.Critical care medicine · 2021Article
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning.PloS one · 2021Article
- Spot the difference: comparing results of analyses from real patient data and synthetic derivatives.JAMIA open · 2020Article
- Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation.Frontiers in digital health · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.