Evidence map›Paper›PMID 30066636›Full record

ArticleBMC medical informatics and decision making2018

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017).

Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2018. 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

5 authors.

Zhe HeSchool of Information, Florida State University, 142 Collegiate Loop, Tallahassee, 32306, FL, USA. zhe@fsu.edu.
Cui TaoSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jiang BianDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Rui ZhangInstitute for Health Informatics and College of Pharmacy, University of Minnesota, Minneapolis, MN, USA.
Jingshan HuangSchool of Computing, University of South Alabama, Mobile, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 research articles included in this supplement issue, covering topics such as Semantic Integration, Deep Learning, Knowledge Base Construction, and Natural Language Processing.

Indexed as

Data ScienceSemanticsAmerican Recovery and Reinvestment ActData MiningDeep LearningHumansNatural Language ProcessingUnited StatesData miningHealth data analyticsNatural language processingOntology

Identifiers

PMID30066636
PMCPMC6069756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.