Evidence map›Paper›PMID 38259896›Full record

ArticlePeerJ. Computer science2024

Analyzing patients satisfaction level for medical services using twitter data.

Muhammad Usman, Muhammad Mujahid, Furqan Rustam, EmmanuelSoriano Flores, Juan Luis Vidal Mazón, Isabel de la Torre Díez, Imran Ashraf

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2024. 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

7 authors.

Muhammad UsmanKhwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Muhammad MujahidKhwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Furqan RustamDepartment of Software Engineering, University of Management & Technology, Lahore, Lahore, Pakistan.
EmmanuelSoriano FloresUniversidad Europea Del Atlantico, Santander, Spain.
Juan Luis Vidal MazónUniversidad Europea Del Atlantico, Santander, Spain.
Isabel de la Torre DíezUnviersity of Valladolid, Valladolid, Spain.
Imran AshrafInformation and Communication Engineering, Yeungnam University, Gyeongsan si, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public concern regarding health systems has experienced a rapid surge during the last two years due to the COVID-19 outbreak. Accordingly, medical professionals and health-related institutions reach out to patients and seek feedback to analyze, monitor, and uplift medical services. Such views and perceptions are often shared on social media platforms like Facebook, Instagram, Twitter,

Indexed as

Feature selectionHealth careMachine learningPatient satisfaction

Identifiers

PMID38259896
PMCPMC10803080

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.