[HTML][HTML] A predictive analytics model using machine learning algorithms to estimate the risk of shock development among dengue patients

JK Chaw, SH Chaw, CH Quah, S Sahrani, MC Ang… - Healthcare …, 2024 - Elsevier
Dengue is a common viral disease in tropical and subtropical countries. The clinical
manifestation of dengue has a wide spectrum, from asymptomatic seroconversion to severe …

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam

DK Ming, B Hernandez, S Sangkaew… - PLOS digital …, 2022 - journals.plos.org
Background Identifying patients at risk of dengue shock syndrome (DSS) is vital for effective
healthcare delivery. This can be challenging in endemic settings because of high caseloads …

Machine learning for dengue outbreak prediction: A performance evaluation of different prominent classifiers

N Iqbal, M Islam - Informatica, 2019 - informatica.si
Dengue disease patients are increasing rapidly and actually dengue has recorded in every
continent today according to World Health Organisation (WHO) record. By WHO report the …

Predicting Infection Positivity, Risk Estimation, and Disease Prognosis in Dengue Infected Patients by ML Expert System

S Kaur, S Sharma, AU Rehman, ET Eldin, NA Ghamry… - Sustainability, 2022 - mdpi.com
Dengue fever has earned the title of a rapidly growing global epidemic since the disease-
causing mosquito has adapted to colder countries, breaking the notion of dengue being a …

Dengue prediction using machine learning algorithms

D Sarma, S Hossain, T Mittra… - 2020 IEEE 8th R10 …, 2020 - ieeexplore.ieee.org
Dengue is an arboviral disease caused by the Aedes mosquito-borne dengue viruses
(DENVs). The World Health organization (WHO) reports an annual incidence of around 100 …

Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning

SW Huang, HP Tsai, SJ Hung, WC Ko… - PLoS neglected tropical …, 2020 - journals.plos.org
Background Dengue virus causes a wide spectrum of disease, which ranges from
subclinical disease to severe dengue shock syndrome. However, estimating the risk of …

Prediction of Dengue using Machine Learning Algorithms: Case Study Dhaka

MT Sarwar, M Al Mamun - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
In recent years, Bangladesh and the South Asian countries are facing a huge problem from
mosquito-borne diseases like dengue fever. According to WHO, the global dengue …

Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques

NAM Salim, YB Wah, C Reeves, M Smith… - Scientific reports, 2021 - nature.com
Dengue fever is a mosquito-borne disease that affects nearly 3.9 billion people globally.
Dengue remains endemic in Malaysia since its outbreak in the 1980's, with its highest …

Predicting case fatality of dengue epidemic: Statistical machine learning towards a virtual doctor

S Chattopadhyay, A Chattopadhyay… - … of Nanotechnology in …, 2021 - research.aston.ac.uk
Dengue fever is a self-limiting communicable viral disease, transmitted through mosquito
bites. Its Case Fatality Grade (CFG) varies across population due to variations in viral load …

A preliminary dengue fever prediction model based on vital signs and blood profile

K Chellappan - 2016 IEEE EMBS Conference on Biomedical …, 2016 - ieeexplore.ieee.org
A retrospective study was conducted at Hospital Canselor Tuanku Muhriz (HCTM), Pusat
Perubatan Universiti Kebangsaan Malaysia, from January 2015 to January 2016, cases …