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
Expert systems and evolutionary computing for financial investing: A review
Rada, R. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.05.012 · Cited by 66
An expert system for men genital problems diagnosis and treatment
Abu Naser Samy, S., & Al-Hanjori, M. M. (2016) · Figshare · doi:10.6084/m9.figshare.3504797 · Cited by 62
Rule-based Expert Systems for Supporting University Students
Engin, G., Aksoyer, B., Avdagic, M., Bozanlı, D., Hanay, U., Maden, D., & Ertek, G. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.05.241 · Cited by 61
Fuzzy expert system for predicting pathological stage of prostate cancer
Castanho, M. J. D. P., Hernandes, F., de Ré, A. M., Rautenberg, S., & Billis, A. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.07.046 · Cited by 53
Markle, W., Conti, T., & Kad, M. (2013) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2013.05.001 · Cited by 39
iSports: A web-oriented expert system for talent identification in soccer
Louzada, F., Maiorano, A. C., & Ara, A. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.09.007 · Cited by 39
International Journal of Medicine Research
(2018) · International Journal of Medicine Research · doi:10.22271/medicine · Cited by 31
SPELTA: An expert system to generate therapy plans for speech and language disorders
Robles-Bykbaev, V., López‐Nores, M., Pazos-Arias, J. J., & Arévalo-Lucero, D. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.06.011 · Cited by 30
mHealth: Using Mobile Technology to Support Healthcare
Okuboyejo, S. R., & Eyesan, O. L. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4865 · Cited by 29
Xidonas, P., Ergazakis, E., Ergazakis, K., Metaxiotis, K. S., Askounis, D., Mavrotas, G., & Psarras, J. E. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.03.066 · Cited by 25
An expert system for real-time traffic management in wireless local area networks
Frantti, T., & Majanen, M. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.01.024 · Cited by 20
Research Review: Application of Expert Systems in the Sciences
Durkin, J. R. (1990) · The Knowledge Bank (The Ohio State University) · Cited by 19
Fractals, fuzzy logic and expert systems to assist in the construction of musical pieces
Ortega, O. L., & López-Popa, S. I. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.02.089 · Cited by 19
An Expert System for Supporting Traditional Chinese Medicine Diagnosis and Treatment
Silva, P., Gago, P., Ribeiro, J., Santos, M. F., Portela, F., Abelha, A., Machado, J. M., & Pinto, F. M. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.10.169 · Cited by 16
Framework for Academic Advice through Mobile Applications
Sowumni, O. Y., Misra, S., Sanz, L. F., & Medina, J. (2016) · ISD · Cited by 13
Self-citationAn Expert System for Diabetes Diagnosis
Smitha, V. (2010) · Cited by 11
DECENTRALISING THE CODIFICATION OF RULES IN A DECISION SUPPORT EXPERT KNOWLEDGE BASE
Kock, E. D. (2005) · UpSpace Institutional Repository (University of Pretoria) · Cited by 11
Design of Pattern Recognition System for the Diagnosis of Gonorrhea Disease
Umoh, James, J., Oton, Udoudo, & Eng, B. (2012) · International journal of scientific and technology research · Cited by 8
A Prototype Mobile Expert System for Nutritional Diagnosis
López, C. U. Q., & Coronas, M. J. (2013) · Investigative News in Education (Universidad de Costa Rica) · Cited by 7
A Mobile Phone-Based Expert System for Disease Diagnosis
Oyelami, O. M. (2013) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-61350-123-8.ch011 · Cited by 3
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
