Evidence map›Paper›PMID 29746254›Full record

ArticleJournal of integrative bioinformatics2018

Big Data Analytics in Medicine and Healthcare.

Blagoj Ristevski, Ming Chen

Abstract read
In one paragraph

Article in Journal of integrative bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. The Next Frontiers in Preventive and Personalized Healthcare: Artificial Intelligent-powered Solutions.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Blagoj Ristevski"St. Kliment Ohridski" University - Bitola, Faculty of Information and Communication Technologies, ul. Partizanska bb, 7000 Bitola, Republic of Macedonia.ORCID http://orcid.org/0000-0002-8356-1203
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University Zijingang Campus, Hangzhou, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records data. We underline the challenging issues about big data privacy and security. Regarding big data characteristics, some directions of using suitable and promising open-source distributed data processing software platform are given.

Indexed as

Electronic Health RecordsMedical InformaticsComputational BiologyDatabases, FactualData MiningDelivery of Health CareGenomicsHumansMetabolomicsPopulation SurveillanceBig Data AnalyticsData MiningHealthcare Information SystemsHealth Informatics

Identifiers

PMID29746254
PMCPMC6340124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.