ReviewYearbook of medical informatics2014
Technical challenges for big data in biomedicine and health: data sources, infrastructure, and analytics.
Review in Yearbook of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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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
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies.BMC bioinformatics · 2019Pooled it
- The Use of International Classification of Diseases Codes to Identify Patients with Pancreatitis: A Systematic Review and Meta-analysis of Diagnostic Accuracy Studies.Clinical and translational gastroenterology · 2018Pooled it
- From concept to approval: human genomic data integration with population observational data - insights from a Belgian pilot study.Archives of public health = Archives belges de sante publique · 2025Article
- Utilisation of a cocreation methodology to develop claims-based indicators for feedback on implementation of comparative effectiveness research results into practice.BMJ open quality · 2025Article
- Do medical specialists accept claims-based Audit and Feedback for quality improvement? A focus group study.BMJ open · 2024Article
- Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches.Journal of the American Statistical Association · 2023Article
- Cardiovascular informatics: building a bridge to data harmony.Cardiovascular research · 2022Review
- From Syndemic Lesson after COVID-19 Pandemic to a "Systemic Clinical Risk Management" Proposal in the Perspective of the Ethics of Job Well Done.International journal of environmental research and public health · 2021Article
- Data Integration Challenges for Machine Learning in Precision Medicine.Frontiers in medicine · 2021Review
- CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability.BMC medical informatics and decision making · 2020Article
- Evaluation of tooth loss among patients with diabetes mellitus using the National Database of Health Insurance Claims and Specific Health Checkups of Japan.International dental journal · 2020Article
- Comparing Social media and Google to detect and predict severe epidemics.Scientific reports · 2020Article
- Assessment of Doctors' Knowledge and Attitudes Towards Confidentiality in Hospital Care.Science and engineering ethics · 2019Article
- Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.Journal of diabetes science and technology · 2019Article
- Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment.Frontiers in pharmacology · 2019Review
- Bonferroni-Holm and permutation tests to compare health data: methodological and applicative issues.BMC medical research methodology · 2018Article
- Article
- Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.BMC medical informatics and decision making · 2017Article
- A Framework for Classification of Electronic Health Data Extraction-Transformation-Loading Challenges in Data Network Participation.EGEMS (Washington, DC) · 2017Article
- Sexual Self-Schemas in the Real World: Investigating the Ecological Validity of Language-Based Markers of Childhood Sexual Abuse.Cyberpsychology, behavior and social networking · 2017Article
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
objectivesTo review technical and methodological challenges for big data research in biomedicine and health.
methodsWe discuss sources of big datasets, survey infrastructures for big data storage and big data processing, and describe the main challenges that arise when analyzing big data.
resultsThe life and biomedical sciences are massively contributing to the big data revolution through secondary use of data that were collected during routine care and through new data sources such as social media. Efficient processing of big datasets is typically achieved by distributing computation over a cluster of computers. Data analysts should be aware of pitfalls related to big data such as bias in routine care data and the risk of false-positive findings in high-dimensional datasets.
conclusionsThe major challenge for the near future is to transform analytical methods that are used in the biomedical and health domain, to fit the distributed storage and processing model that is required to handle big data, while ensuring confidentiality of the data being analyzed.
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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.