ReviewFrontiers in veterinary science2017
The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.
Review in Frontiers in veterinary science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Identifying correlations driven by influential observations in large datasets.Briefings in bioinformatics · 2022Pooled it
- Systematic review of the use of big data to improve surgery in low- and middle-income countries.The British journal of surgery · 2019Pooled it
- Systems Bioengineering of Septic Shock Metabolism: Citrulline, β-Hydroxybutyrate and Plasma Biomarker-Based Phenotyping.Biomolecules · 2026Review
- Lectin Microarray-based Glycomics and Machine Learning Identify Shared Osteoarthritis Biomarkers in Humans, Dogs, and Horses.bioRxiv : the preprint server for biology · 2025Article
- Approaching a nationwide registry: analyzing big data in patients with heart failure.Turkish journal of medical sciences · 2024Article
- Socio-Technical Analysis of the Benefits and Barriers to Using a Digital Representation of the Global Horse Population in Equine Veterinary Medicine.Animals : an open access journal from MDPI · 2023Article
- Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Individual differences in the encoding of contextual details following acute stress: An explorative study.The European journal of neuroscience · 2022Article
- Review
- Great future or greedy venture: Precision medicine needs philosophy.Health science reports · 2021Review
- Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review.JMIR research protocols · 2021Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
- Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making.Frontiers in veterinary science · 2021Article
- Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014-2015.Scientific reports · 2020Article
- The Influence of Physical Activity and Epigenomics On Cognitive Function and Brain Health in Breast Cancer.Frontiers in aging neuroscience · 2020Review
- Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach.Journal of clinical medicine · 2019Article
- A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock.Frontiers in genetics · 2019Review
- A Transdisciplinary Approach Supporting the Implementation of a Big Data Project in Livestock Production: An Example From the Swiss Pig Production Industry.Frontiers in veterinary science · 2019Article
- Applications of RNA Indexes for Precision Oncology in Breast Cancer.Genomics, proteomics & bioinformatics · 2018Review
- Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets.Frontiers in plant science · 2018Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in high-throughput molecular biology and electronic health records (EHR), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care. Big data require collection and analysis of data at an unprecedented scale and represents a paradigm shift in health care, offering (1) the capacity to generate new knowledge more quickly than traditional scientific approaches; (2) unbiased collection and analysis of data; and (3) a holistic understanding of biology and pathophysiology. Big data promises more
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.