ArticleJournal of medical statistics and informatics
Volume and Value of Big Healthcare Data.
Article in Journal of medical statistics and informatics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- A Generalized Software Framework for Consolidation of Radiation Therapy Planning and Delivery Data From Diverse Data Sources.Advances in radiation oncology · 2026Article
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity.Pediatric research · 2026Article
- Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability.JMIR medical informatics · 2026Article
- From static to dynamic: Artificial intelligence revolution in perioperative care through multimodal data fusion and closed-loop optimization.Journal of anesthesia and translational medicine · 2025Review
- Integrating Health Care Data in an Informatics for Integrating Biology & the Bedside (i2b2) Model Persisted Through Elasticsearch: Design, Implementation, and Evaluation in a French University Hospital.JMIR medical informatics · 2025Article
- Decolonisation and Self-Regulation as Alternative Paths to Data Science Health Research Governance in Africa.Wellcome open research · 2025Article
- Primary Care Informatics: Vitalizing the Bedrock of Health Care.Journal of medical Internet research · 2024Article
- Deep learning in structural bioinformatics: current applications and future perspectives.Briefings in bioinformatics · 2024Review
- Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.Health information science and systems · 2023Article
- Cybersecurity considerations for radiology departments involved with artificial intelligence.European radiology · 2023Review
- Health data hubs: an analysis of existing data governance features for research.Health research policy and systems · 2023Article
- Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care.International journal of spine surgery · 2023Article
- Unsupervised natural language processing in the identification of patients with suspected COVID-19 infection.Cadernos de saude publica · 2023Observational
- Article
- A study of attitudes among Polish dermatologists and dermatology trainees regarding modern technologies in medicine.Postepy dermatologii i alergologii · 2022Article
- Medical-Blocks-A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results.JMIR formative research · 2022Article
- [Use of medical archives for research and patient care].Der Urologe. Ausg. A · 2022Review
- Creating learning health systems and the emerging role of biomedical informatics.Learning health systems · 2022Article
- DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations.Journal of algorithms & computational technology · 2022Article
- How does DICOM support big data management? Investigating its use in medical imaging community.Insights into imaging · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Modern scientific inquiries require significant data-driven evidence and trans-disciplinary expertise to extract valuable information and gain actionable knowledge about natural processes. Effective evidence-based decisions require collection, processing and interpretation of vast amounts of complex data. The Moore's and Kryder's laws of exponential increase of computational power and information storage, respectively, dictate the need rapid trans-disciplinary advances, technological innovation and effective mechanisms for managing and interrogating Big Healthcare Data. In this article, we review important aspects of Big Data analytics and discuss important questions like: What are the challenges and opportunities associated with this biomedical, social, and healthcare data avalanche? Are there innovative statistical computing strategies to represent, model, analyze and interpret Big heterogeneous data? We present the foundation of a new compressive big data analytics (CBDA) framework for representation, modeling and inference of large, complex and heterogeneous datasets. Finally, we consider specific directions likely to impact the process of extracting information from Big healthcare data, translating that information to knowledge, and deriving appropriate actions.
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.