Comparing short-term univariate and multivariate time-series forecasting models in infectious disease outbreak
Predicting infectious disease outbreak impacts on population, healthcare resources and
economics and has received a special academic focus during coronavirus (COVID-19) …
economics and has received a special academic focus during coronavirus (COVID-19) …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
Accuracy versus reliability-based modelling approaches for medical decision making
Forecasting in the medical domain is critical to the quality of decisions made by physicians,
patients, and health planners. Modeling is one of the most important components of decision …
patients, and health planners. Modeling is one of the most important components of decision …
A hybrid decision support system in medical emergencies using artificial neural network and hyperbolic secant grey wolf optimization techniques
GP Chander, S Das - Cluster Computing, 2025 - Springer
The distribution of vaccines poses a critical challenge, particularly during public
emergencies. This paper introduces a decision support framework to address the …
emergencies. This paper introduces a decision support framework to address the …
[PDF][PDF] Temporal analysis of infectious diseases: A case study on COVID-19
J Liu, B Tian, J Wu - Acadlore Transact. Appl. Math. Stat, 2023 - library.acadlore.com
Historically, infectious diseases have greatly impacted human health, necessitating a robust
understanding of their trends, processes, and transmission. This study focuses on the …
understanding of their trends, processes, and transmission. This study focuses on the …
Bayesian noise modelling for state estimation of the spread of covid-19 in saudi arabia with extended kalman filters
The epistemic uncertainty in coronavirus disease (COVID-19) model-based predictions
using complex noisy data greatly affects the accuracy of pandemic trend and state …
using complex noisy data greatly affects the accuracy of pandemic trend and state …
Survey of recent applications of artificial intelligence for detection and analysis of COVID-19 and other infectious diseases
RS Segall, V Sankarasubbu - International Journal of Artificial …, 2022 - igi-global.com
The purpose is to illustrate how artificial intelligence (AI) technologies have been used for
detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and …
detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and …
ECG Forecasting System Based on Long Short-Term Memory
Worldwide, cardiovascular diseases are some of the primary causes of death; yet the early
detection and diagnosis of such diseases have the potential to save many lives …
detection and diagnosis of such diseases have the potential to save many lives …
Prediction of covid-19 cases based on human behavior using dnn regressor for canada
D Tripathy, SG Camorlinga - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The proposed work utilizes Deep Neural Network (DNN) regression model to predict the
total number of cases, new cases, and death cases in Canada. It is evaluated based on …
total number of cases, new cases, and death cases in Canada. It is evaluated based on …
SPILLOVER EDUCATED OF INDONESIAN MIGRANT WORKERS (IMW) ON CENTRAL JAVA'S ECONOMIC GROWTH
C Caroline, P Pujiono - Jurnal REP (Riset Ekonomi …, 2022 - journal.untidar.ac.id
Abstract Indonesian Migrant Workers (TKI) or now known as Indonesian Migrant Workers
(IMW) contribute to the economic growth of Central Java Province through foreign exchange …
(IMW) contribute to the economic growth of Central Java Province through foreign exchange …