Evidence map›Paper›PMID 34873378›Full record

ArticleWireless personal communications2022

Outlining Big Data Analytics in Health Sector with Special Reference to Covid-19.

R Biswas

Abstract read
In one paragraph

Article in Wireless personal communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

R BiswasDepartment of Physics, Tezpur University, Tezpur, 784028 India.ORCID 0000-0001-6246-2196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the assistance of Internet of Things (IoT), Big Data analytics has evolved tremendously. The capability of dealing and processing humongous data by high performance computing systems results in great surge in applications of Big Data analytics in various fields spanning healthcare, automobile, computing, climatology, and space communications etc. The health care sector has been recently largely benefitted by this. Driven by the compounding growth as well as impact of Big Data analytics, we endeavor to map out the areas of health sector where Big Data analytics has been largely influential as well as is having the potential for ground-breaking applications. This work starts with fundamentals of IoT driven Big Data Analytics (BDA) as well as key constitutional elements which is then followed by an application overview in healthcare sector with a simultaneous emphasis on future expectations. Besides, the real time application of BDA with special reference to Covid-19 is comprehensively highlighted with recent examples. It is envisioned that the work will serve as a basic reference for IoT driven BDA in healthcare.

Indexed as

BigdataBig data analyticsCovid-19HealthcareIoT

Identifiers

PMID34873378
PMCPMC8635320

What OpenQuestion holds

Textmetadata
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.