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
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
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“mobile app based mHealth interventions [47,72,74 -76] are mainly in the design stage (stage 2).”
From Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review (2023) · cites this paper as [47]
In the citing paper
“mHealth app named GRAVID which is supposed to fill the gap of unavailability of context-based nutritional, drug and substance abuse and medical information for women and baby is developed.”
From Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review (2023) · cites this paper as [47]
Citations
Cites
Rule-based expert systems: The mycin experiments of the stanford heuristic programming project
Swartout, W. (1985) · Artificial Intelligence · doi:10.1016/0004-3702(85)90067-0 · Cited by 1,248
Stigma of People with HIV/AIDS in Sub-Saharan Africa: A Literature Review
Mbonu, N. C., van den Borne, B., & de Vries, N. K. (2009) · Journal of Tropical Medicine · doi:10.1155/2009/145891 · Cited by 231
Muthukaruppan, S., & Er, M. J. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.04.036 · Cited by 173
A dynamic and automatic traffic light control expert system for solving the road congestion problem
Wen, W. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.03.007 · Cited by 172
Expert system based on neuro-fuzzy rules for diagnosis breast cancer
Keleş, A., Keleş, A., & YAVUZ, U. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.10.061 · Cited by 145
Aggleton, P., Wood, K., Malcolm, A., & Parker, R. G. (2005) · DigitalGeorgetown (Georgetown University Library) · Cited by 144
ESTDD: Expert system for thyroid diseases diagnosis
Keleş, A., & Keleş, A. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.09.028 · Cited by 133
Jaques, P. A., Seffrin, H. M., Rubi, G., de Morais, F., Ghilardi, C., Bittencourt, I. I., & Isotani, S. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.04.004 · Cited by 96
Oh, J., Yang, J., & Lee, S. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.02.164 · Cited by 89
An Expert System for Endocrine Diagnosis and Treatments using JESS
Abu-Naser, S. S., Hissi, H. E., Rass, M. A., & khozondar, N. E. (2010) · Journal of Artificial Intelligence · doi:10.3923/jai.2010.239.251 · Cited by 85
Flagged first, then by citations
Research works printed but not linked: 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
Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review
Aboye, G. T., Vande Walle, M., Simegn, G. L., & Aerts, J.-M. (2023) · Health Policy and Technology · doi:10.1016/j.hlpt.2023.100806 · Cited by 55
Severe Acne Skin Disease: A Fuzzy-Based Method for Diagnosis
Ayo, F. E., Ogundokun, R. O., Awotunde, J. B., Adebiyi, M. O., & Adeniyi, A. E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58817-5_25 · Cited by 33
Aboye, G. T., Vande Walle, M., Simegn, G. L., & Aerts, J.-M. (2023) · Digital Health · doi:10.1177/20552076231180972 · Cited by 31
Diagmal: A Malaria Coactive Neuro-Fuzzy Expert System
Oladele, T. O., Ogundokun, R. O., Awotunde, J. B., Adebiyi, M. O., & Adeniyi, J. K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58817-5_32 · Cited by 22
Heart Disease Classification Using Machine Learning Models
Folorunso, S. O., Awotunde, J. B., Adeniyi, A. E., Abiodun, M. K., & Ayo, F. E. (2022) · Communications in computer and information science · doi:10.1007/978-3-030-95630-1_3 · Cited by 16
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
- Publisher
- SAGE Publications
- 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