ArticleComputational and mathematical methods in medicine2019
Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay.
Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review.PLoS neglected tropical diseases · 2022Pooled it
- Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review.Frontiers in public health · 2022Pooled it
- A Retrospective Study of Climate Change Affecting Dengue: Evidences, Challenges and Future Directions.Frontiers in public health · 2022Pooled it
- Establishment of multiple predictive models for early identification of the dengue cases in outpatient healthcare systems.Scientific reports · 2026Article
- Machine learning-based mathematical equations for dengue positivity detection using elementary laboratory parameters.Journal of family medicine and primary care · 2025Article
- Article
- Predictive models-assisted diagnosis of AIDS-associated Pneumocystis jirovecii pneumonia in the emergency room, based on clinical, laboratory, and radiological data.Scientific reports · 2024Article
- Possible role of artificial intelligence in diagnosis of cases with non-specific signs and symptoms of dengue: A comment.Clinics (Sao Paulo, Brazil) · 2024Article
- Article
- Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics.Diagnostics (Basel, Switzerland) · 2023Article
- The Role of Heterogenous Real-world Data for Dengue Surveillance in Martinique: Observational Retrospective Study.JMIR public health and surveillance · 2022Observational
- Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree.Health information science and systems · 2022Article
- The Significance of Software Engineering to Forecast the Public Health Issues: A Case of Saudi Arabia.Frontiers in public health · 2022Article
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4 authors.
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Abstract
Early diagnosis of dengue continues to be a concern for public health in countries with a high incidence of this disease. In this work, we compared two machine learning techniques: artificial neural networks (ANN) and support vector machines (SVM) as assistance tools for medical diagnosis. The performance of classification models was evaluated in a real dataset of patients with a previous diagnosis of dengue extracted from the public health system of Paraguay during the period 2012-2016. The ANN multilayer perceptron achieved better results with an average of 96% accuracy, 96% sensitivity, and 97% specificity, with low variation in thirty different partitions of the dataset. In comparison, SVM polynomial obtained results above 90% for accuracy, sensitivity, and specificity.
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