Volume- 12
Issue- 2
Year- 2024
DOI: 10.55524/ijircst.2024.12.2.1 | DOI URL: https://doi.org/10.55524/ijircst.2024.12.2.1 Crossref
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Yufeng Li , Weimin Wang, Xu Yan, Min Gao, MingXuan Xiao
Portion of the causes of medical errors in outpatient clinics are incorrect treatment resulting from misdiagnosis. Misdiagnosis between diseases is often caused by similar and indistinguishable symptoms. Currently, disease knowledge and related symptom words that are prone to misdiagnosis are scattered in various medical literature or open online databases. Therefore, it is possible to merge symptom words of related diseases, build an ontology based on the semantic relationship between symptoms, and associate the association between diseases and symptoms. This project finally established the "Disease Symptoms" Semantic Network (DSSN). Using DSSN as a basic data set can serve as prompts for diseases that are easily misdiagnosed, assisting doctors in accurately diagnosing diseases. This plays a significant role in reducing the misdiagnosis rate.
[1] Neale G, Hogan H, Sevdalis N. Misdiagnosis: analysis based on case record review with proposals aimed to improve diagnostic processes. Clin Med (Lond). 2011 Aug;11(4):317-21. doi:10.7861/clinmedicine.11-4-317. PMID: 21853823; PMCID: PMC5873736.
[2] Hu, H., Li, S., Huang, J., Liu, B., & Che, C. (2023). Casting product image data for quality inspection with xception and data augmentation. Journal of Theory and Practice of Engineering Science, 3(10), 42–46.
[3] Hussain, S., Mubeen, I., Ullah, N., Shah, S. S. U. D., Khan, B. A., Zahoor, M., Ullah, R., Khan, F. A., & Sultan, M. A. (2022). Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review. BioMed research international, 2022, 5164970.
[4] Mou, C., Ye, X., Wu, J., & Dai, W. (2023). Automated icd coding based on neural machine translation. In 2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) (pp. 495–500). IEEE.
[5] Zhang, F., Xiao, M., Wang, W., Li, Y., & Yan, X. (2024). Enhanced Breast Cancer Classification through Data Fusion Modeling. Journal of Theory and Practice of Engineering Science, 4(01), 79–85. https://doi.org/10.53469/jtpes.2024.04(01).11
[6] Dai, W., Mou, C., Wu, J., & Ye, X. (2023). Diabetic retinopathy detection with enhanced vision transformers: The twins-pcpvt solution. In 2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI) (pp. 403–407). IEEE.
[7] Ye, X., Wu, J., Mou, C., & Dai, W. (2023). Medlens: Improve mortality prediction via medical signs selecting and regression. In 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI) (pp. 169–175). IEEE.
[8] Dai, W., Jiang, Y., Mou, C., & Zhang, C. (2023). An integrative paradigm for enhanced stroke prediction: Synergizing xgboost and xdeepfm algorithms. In Proceedings of the 2023 6th International Conference on Big Data Technologies, ICBDT ’23 (pp. 28–32). New York, NY, USA: Association for Computing Machinery.
[9] Graber ML. The incidence of diagnostic error in medicine. BMJ Qual Saf 2013;22 Suppl 2:ii 21–7.10.1136/bmjqs-2012-001615.
[10] Feilmayr, C., & Wöß, W. (2016). An analysis of ontologies and their success factors for application to business. Data Knowl. Eng., 101, 1-23.
[11] Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., Harris, M. A., Hill, D. P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J. C., Richardson, J. E., Ringwald, M., Rubin, G. M., & Sherlock, G. (2000). Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nature genetics, 25(1), 25–29.
[12] Schriml, L. M., Munro, J. B., Schor, M., Olley, D., McCracken, C., Felix, V., Baron, J. A., Jackson, R., Bello, S. M., Bearer, C., Lichenstein, R., Bisordi, K., Dialo, N. C., Giglio, M., & Greene, C. (2022). The Human Disease Ontology 2022 update. Nucleic acids research, 50(D1), D1255–D1261.
[13] Robinson, P. N., Köhler, S., Bauer, S., Seelow, D., Horn, D., & Mundlos, S. (2008). The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease. American journal of human genetics, 83(5), 610–615.
[14] Mhadhbi, L., & Akaichi, J. (2017). DS-Ontology: A Disease-Symptom Ontology for General Diagnosis Enhancement. International Conference on Information System and Data Mining.
[15] Kaalia, R., & Ghosh, I. (2016). Semantics based approach for analyzing disease-target associations. Journal of biomedical informatics, 62, 125–135.
[16] Berners-Lee T, Hendler J, Lassila O. The semantic web[J]. Scientific american,2001, 284(5):28-37.
[17] Jonquet, C., Shah, N.H., Youn, C., Musen, M.A., Callendar, C., & Storey, M.D. (2009). NCBO Annotator: Semantic Annotation of Biomedical Data.
[18] Lin, YC. et al. (2017). Evaluating and Improving Annotation Tools for Medical Forms. In: Da Silveira, M., Pruski, C., Schneider, R. (eds) Data Integration in the Life Sciences. DILS 2017. Lecture Notes in Computer Science(), vol 10649. Springer, Cham.
[19] Willett, P. (2006) The Porter stemming algorithm: then and now. Program: Electronic Library and Information Systems, 40 (3). pp. 219-223. ISSN 0033-0337.
[20] Mou, C., Dai, W., Ye, X., & Wu, J. (2023). Research on method of user preference analysis based on entity similarity and semantic assessment. In 2023 8th International Conference on Signal and Image Processing (ICSIP) (pp. 1029–1033).
[21] Ezzikouri, H., Madani, Y., Erritali, M., & Oukessou, M. (2019). A New Approach for Calculating Semantic Similarity between Words Using WordNet and Set Theory. ANT/EDI40.
[22] Tierney, L., Sanjay, S., & Whooley, M. (2011). Current Essentials of Medicine (4th ed.). New York: McGraw-Hill Companies.
[23] Gennari J H, Musen M A, Fergerson R W, et al. The evolution of Protege: an environment for knowledge based systems development J]. International Journal of Human-Computer Studies,2009 ,58(1):89-123.
[24] Ruffolo C, Fiorot A, Pagura G, Antoniutti M, Massani M, Caratozzolo E. et al. Acute appendicitis: What is the gold standard of treatment? World J Gastroenterol. 2013;19(47):8799–8807.
[25] Zoarets I, Poluksht N, Halevy A. Does Selective Use of Computed Tomography Scan? Reduce the Rate of “White” (Negative) Appendectomy. Isr Med Assoc J. 2014;16:335–337.
[26] Cheng, S., Chu, B., Zhong, B., Zhang, Z., Liu, X., Tang, Z., & Li, X. (2021). Drnet: Towards fast, accurate and practical dish recognition. Science China Technological Sciences, 64(12), 2651–2661.
[27] Yan, X., Xiao, M., Wang, W., Li, Y., & Zhang, F. (2024). A Self-Guided Deep Learning Technique for MRI Image Noise Reduction. Journal of Theory and Practice of Engineering Science, 4(01), 109–117. https://doi.org/10.53469/jtpes.2024.04(01).15
[28] Xu, H., Song, S., & Mao, Z. (2023). Characterizing the performance of emerging deep learning, graph, and high-performance computing workloads under interference.
[29] Liang, Z., Cao, H., Yang, C., Zhang, Z., & Chen, G. (2022). Global-local feature aggregation for event-based object detection on eventkitti. In 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 1–7). IEEE.
[30] Che, C., Liu, B., Li, S., Huang, J., & Hu, H. (2023). Deep learning for precise robot position prediction in logistics. Journal of Theory and Practice of Engineering Science, 3(10), 36–41.
[31] Tianbo, S., Weijun, H., Jiangfeng, C., Weijia, L., Quan, Y., & Kun, H. (2023). Bio-inspired swarm intelligence: a flocking project with group object recognition. In 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) (pp. 834–837).
[32] Yang, H., Li, T., & Chen, X. (2017). Visualization of time series data based on spiral graph. Journal of Computer Applications, 37(9), 2443-2
Electronics and Computer Science, University of Southampton, Southampton, Hampshire, UK
No. of Downloads: 73 | No. of Views: 1055
Siti Nur.
September 2024 - Vol 12, Issue 5
Mrinal Kumar, Yuvaraj Madheswaran.
September 2024 - Vol 12, Issue 5
Saikat Banerjee, Soumitra Das, Abhoy Chand Mondal.
September 2024 - Vol 12, Issue 5