SynthesisJournal of medical systems2017
A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.
Synthesis in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 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
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations.Journal of medical systems · 2019Pooled it
- Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.RMD open · 2019Pooled it
- Data Mining Algorithms and Techniques in Mental Health: A Systematic Review.Journal of medical systems · 2018Pooled it
- Data protection legislation in Africa and pathways for enhancing compliance in big data health research.Health research policy and systems · 2024Article
- Review
- Evidence of SARS-CoV-2 reinfection: analysis of 35,000 subjects and overview of systematic reviews.Clinical and experimental medicine · 2023Article
- Data Analytics in Healthcare: A Tertiary Study.SN computer science · 2023Review
- Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing.Scientific reports · 2022Article
- Article
- Disaster and Pandemic Management Using Machine Learning: A Survey.IEEE internet of things journal · 2021Article
- Precision medicine: Concept and tools.Medical journal, Armed Forces India · 2021Review
- Scoping review and bibliometric analysis of Big Data applications for Medication adherence: an explorative methodological study to enhance consistency in literature.BMC health services research · 2020Article
- Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis.Future generations computer systems : FGCS · 2019Article
- Application of Big Data analysis in gastrointestinal research.World journal of gastroenterology · 2019Review
- Determination of Eligibility for Influenza Research: A Clinical Informatics Approach.Open forum infectious diseases · 2019Article
- Big data in IBD: a look into the future.Nature reviews. Gastroenterology & hepatology · 2019Review
- Review
- Big Data Analytics in Healthcare: Investigating the Diffusion of Innovation.Perspectives in health information managemen · 2019Article
- Differences in the Incidence of Symptomatic Cervical and Lumbar Disc Herniation According to Age, Sex and National Health Insurance Eligibility: A Pilot Study on the Disease's Association with Work.International journal of environmental research and public health · 2018Article
- How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main objective of this paper is to present a review of existing researches in the literature, referring to Big Data sources and techniques in health sector and to identify which of these techniques are the most used in the prediction of chronic diseases. Academic databases and systems such as IEEE Xplore, Scopus, PubMed and Science Direct were searched, considering the date of publication from 2006 until the present time. Several search criteria were established as 'techniques' OR 'sources' AND 'Big Data' AND 'medicine' OR 'health', 'techniques' AND 'Big Data' AND 'chronic diseases', etc. Selecting the paper considered of interest regarding the description of the techniques and sources of Big Data in healthcare. It found a total of 110 articles on techniques and sources of Big Data on health from which only 32 have been identified as relevant work. Many of the articles show the platforms of Big Data, sources, databases used and identify the techniques most used in the prediction of chronic diseases. From the review of the analyzed research articles, it can be noticed that the sources and techniques of Big Data used in the health sector represent a relevant factor in terms of effectiveness, since it allows the application of predictive analysis techniques in tasks such as: identification of patients at risk of reentry or prevention of hospital or chronic diseases infections, obtaining predictive models of quality.
Indexed as
Identifiers
29032458What Socratic 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 Socratic graph.