Systematic literature review on reinforcement learning in non-communicable disease interventions
There is evidence that reducing modifiable risk factors and strengthening medical and
health interventions can reduce early mortality and economic losses from non …
health interventions can reduce early mortality and economic losses from non …
[HTML][HTML] Differential Classification of Dengue, Zika, and Chikungunya Using Machine Learning—Random Forest and Decision Tree Techniques
Dengue, Zika, and chikungunya viruses pose a serious threat globally and circulate widely
in America. These diseases share similar symptoms in their early stages, which can make …
in America. These diseases share similar symptoms in their early stages, which can make …
[HTML][HTML] Methodology for the Differential Classification of Dengue and Chikungunya According to the PAHO 2022 Diagnostic Guide
Arboviruses such as dengue, Zika, and chikungunya present similar symptoms in the early
stages, which complicates their differential and timely diagnosis. In 2022, the PAHO …
stages, which complicates their differential and timely diagnosis. In 2022, the PAHO …
Using Computational Simulations Based on Fuzzy Cognitive Maps to Detect Dengue Complications
W Hoyos, K Hoyos, R Ruíz - Diagnostics, 2024 - mdpi.com
Dengue remains a globally prevalent and potentially fatal disease, affecting millions of
people worldwide each year. Early and accurate detection of dengue complications is …
people worldwide each year. Early and accurate detection of dengue complications is …
Artificial Intelligence Based Early Detection of Dengue Using CBC Data
Dengue fever is a tropical mosquito-transmitted disease spread through the Aedes
mosquito, where the human body works as the primary host. Each year, densely populated …
mosquito, where the human body works as the primary host. Each year, densely populated …
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method
M Maftoun, N Shadkam, SSS Komamardakhi… - arXiv preprint arXiv …, 2024 - arxiv.org
Trusting the accuracy of data inputted on online platforms can be difficult due to the
possibility of malicious websites gathering information for unlawful reasons. Analyzing each …
possibility of malicious websites gathering information for unlawful reasons. Analyzing each …
Exploration of Machine Learning Methods in Medical Disease Prediction: A Systematic Literature Review
RS Nurhalizah, H Jayusman - Journal of Advanced Health …, 2023 - ejournal.ptti.web.id
Abstract Exploration of Machine Learning methods in the systematic literature shows
successful applications in disease diagnosis, disease prediction, and treatment planning …
successful applications in disease diagnosis, disease prediction, and treatment planning …
PREDICTION OF DENGUE CASES AND DEATHS USING MACHINE LEARNING ALGORITHM
This study presents a comprehensive analysis of machine learning algorithms in predicting
Dengue deaths and cases using a dataset containing monthly records of Dengue …
Dengue deaths and cases using a dataset containing monthly records of Dengue …