A systematic review of dengue outbreak prediction models: Current scenario and future directions
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks
often overwhelm the health system and result in huge morbidity and mortality in its endemic …
often overwhelm the health system and result in huge morbidity and mortality in its endemic …
[HTML][HTML] Development of data-driven machine learning models and their potential role in predicting dengue outbreak
Dengue fever is one of the most widespread vector-borne viral infections in the world,
resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are …
resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are …
Evaluation of dengue model performances developed using artificial neural network and random forest classifiers
P Silitonga, BE Dewi, A Bustamam… - Procedia Computer …, 2021 - Elsevier
Dengue is one of the endemic diseases in Indonesia. Dengue is being suffered by many
people, regardless of their gender and age. Therefore, research about dengue based on …
people, regardless of their gender and age. Therefore, research about dengue based on …
[HTML][HTML] Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based …
Despite the implementation of various initiatives, dengue remains a significant public health
concern in Malaysia. Given that dengue has no specific treatment, dengue prediction …
concern in Malaysia. Given that dengue has no specific treatment, dengue prediction …
IOD and ENSO-related time series variability and forecasting of dengue and malaria incidence in Indonesia
Dengue and malaria are mosquito-borne infectious diseases driven by climate change and
have an endemic impact in tropical and subtropical regions of the world, particularly in South …
have an endemic impact in tropical and subtropical regions of the world, particularly in South …
[PDF][PDF] Machine learning approaches for dengue prediction: A review of algorithms and applications
Z Hussain, IA KHAN, M HASSAN - Pak. Geogr. Rev., 2023 - pu.edu.pk
Dengue disease positions a significant global public health challenge, warranting attention
from local health authorities and the international community. The escalating number of …
from local health authorities and the international community. The escalating number of …
The relationship between transformational, transactional, and passive-avoidant leadership styles and small business sustainability
AM Sedky - 2021 - search.proquest.com
Abstract Since 2010, more than 50% of the small businesses have failed to sustain profitable
operations past the first year in business. Lack of sustainability is important to small business …
operations past the first year in business. Lack of sustainability is important to small business …
Artificial neural network for health data forecasting, case study: number of dengue hemorrhagic fever cases in Malang Regency, Indonesia
W Anggraeni, G Pramudita… - 2018 International …, 2018 - ieeexplore.ieee.org
Dengue Hemorrhagic Fever (DHF) has become one of the most deadly diseases in the
world. Diseases caused by Aedes-type mosquitoes are found in many tropical countries …
world. Diseases caused by Aedes-type mosquitoes are found in many tropical countries …
Modelling and forecasting the dengue hemorrhagic fever cases number using hybrid fuzzy-ARIMA
W Anggraeni, A Abdillah, LT Trikoratno… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
Dengue Hemorrhagic Fever (DHF) cases in Indonesia have the highest number which
compared to another countries in Southeast Asia. These occurs in almost all part of …
compared to another countries in Southeast Asia. These occurs in almost all part of …
Determining important features for dengue diagnosis using feature selection methods
Objectives: This research aims to determine the important features including symptoms and
risk factors for dengue diagnosis. Methods: The dataset for this study is in the form of …
risk factors for dengue diagnosis. Methods: The dataset for this study is in the form of …