Cited by 13Artificial Intelligence in HealthcareEdcuational Technology SystemsDecision Support System Applications

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

An expert system for the diagnosis of sexually transmitted diseases – ESSTD

Thompson, Temitope, Sowunmi, Olaperi, Misra, Sanjay, Fernandez-Sanz, Luis, Crawford, Broderick, Soto, Ricardo·2017·Journal of Intelligent & Fuzzy Systems

Abstract

Over 93 million people get ill with sexually transmitted diseases in sub-Saharan Africa. However, research has shown that people with sexually transmitted diseases find it difficult to share their problem with a physician due to societal discrimination in Africa. Due to this problem, we have implemented a medical expert system for diagnosing sexually transmitted diseases (ESSTD) that maintains the anonymity of the individuals. The patients diagnose themselves by answering questions provided by the system. This paper presents the design and development of the system. Forward chaining rules were used to implement the knowledge base and the system is easily accessible on mobile platforms. The Java Expert System Shell was used for its inference engine and the system was validated by domain experts. It is useful because it helps to maintain anonymity for patients with STD.

Overview

Integrity signals

Registry

Crossref · 10.3233/jifs-161242

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 30 references

Research works printed but not linked: 1

  1. AbdelhamidY. and El-HellyM., A new approach for developing diagnostic expert systems on mobile phones, Communications in Information3 (2013), 374–384.

Cited by

Sorted by citations

See all 13

Metadata

Authors
Thompson, T., Sowunmi, O., Misra, S., Fernandez-Sanz, L., Crawford, B., & Soto, R.
Affiliations
  • Covenant University (NG)
  • Department of Computer Science, University of Alcala, Alcala De Henares, Madrid, Spain
  • Pontificia Universidad Católica de Valparaíso (CL)
Corresponding author
Misra, Sanjay
Venue
Journal of Intelligent & Fuzzy Systems
Published
2017-10
Volume
33
Issue
4
Pages
2007-2017
ISSN
  • 1064-1246 (ISSN-L)
  • 1875-8967
OpenAlex
W2756489849
Cited by
13
References
30
Citations by year
2024: 1 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 4 · 2019: 1
FWCI
1.88
Type
journal article
Language
en
Open access
closed
Locations
Journal of Intelligent & Fuzzy Systems (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Edcuational Technology Systems
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
Keywords
sexually transmitted infections, expert systems, self-diagnosis, patient anonymity, stigma, mobile health, knowledge base, sub-Saharan Africa

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review