ArticleJournal of the American Medical Informatics Association : JAMIA
Large datasets in biomedicine: a discussion of salient analytic issues.
Article in Journal of the American Medical Informatics Association : JAMIA. 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.
- A machine learning approach identifies modulators of heart failure hospitalization prevention among patients with type 2 diabetes: A revisit to the ACCORD trial.Journal of diabetes and its complications · 2022Trial
- Recommendations to promote fairness and inclusion in biomedical AI research and clinical use.Journal of biomedical informatics · 2024Article
- Review
- Understanding patient needs and predicting outcomes in IgA nephropathy using data analytics and artificial intelligence: a narrative review.Clinical kidney journal · 2023Review
- Improving child health through Big Data and data science.Pediatric research · 2023Review
- Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing.Scientific reports · 2022Article
- "Omics" in traumatic brain injury: novel approaches to a complex disease.Acta neurochirurgica · 2021Review
- A Master-Slave Binary Grey Wolf Optimizer for Optimal Feature Selection in Biomedical Data Classification.BioMed research international · 2021Article
- Multi-model mapping of phonemic fluency.Brain communications · 2021Article
- Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers' Compensation Claimants with Musculoskeletal Conditions.Journal of occupational rehabilitation · 2020Article
- Fluency and rule breaking behaviour in the frontal cortex.Neuropsychologia · 2020Article
- Brief introduction of medical database and data mining technology in big data era.Journal of evidence-based medicine · 2020Review
- A precision medicine framework using artificial intelligence for the identification and confirmation of genomic biomarkers of response to an Alzheimer's disease therapy: Analysis of the blarcamesine (ANAVEX2-73) Phase 2a clinical study.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- Information technologies of 21st century and their impact on the society.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2019Article
- Big Health Data and Cardiovascular Diseases: A Challenge for Research, an Opportunity for Clinical Care.Frontiers in medicine · 2019Review
- Big Data Science Training Program at a Minority Serving Institution: Processes and Initial Outcomes.Californian journal of health promotion · 2018Article
- Medical big data: promise and challenges.Kidney research and clinical practice · 2017Article
- Big data are coming to psychiatry: a general introduction.International journal of bipolar disorders · 2015Article
- Using Big Data to Evaluate the Association between Periodontal Disease and Rheumatoid Arthritis.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Big data and clinicians: a review on the state of the science.JMIR medical informatics · 2014Review
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
Abstract
Advances in high-throughput and mass-storage technologies have led to an information explosion in both biology and medicine, presenting novel challenges for analysis and modeling. With regards to multivariate analysis techniques such as clustering, classification, and regression, large datasets present unique and often misunderstood challenges. The authors' goal is to provide a discussion of the salient problems encountered in the analysis of large datasets as they relate to modeling and inference to inform a principled and generalizable analysis and highlight the interdisciplinary nature of these challenges. The authors present a detailed study of germane issues including high dimensionality, multiple testing, scientific significance, dependence, information measurement, and information management with a focus on appropriate methodologies available to address these concerns. A firm understanding of the challenges and statistical technology involved ultimately contributes to better science. The authors further suggest that the community consider facilitating discussion through interdisciplinary panels, invited papers and curriculum enhancement to establish guidelines for analysis and reporting.
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.