An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
Diabetes is a chronic disease that continues to be a primary and worldwide health concern
since the health of the entire population has been affected by it. Over the years, many …
since the health of the entire population has been affected by it. Over the years, many …
The severity prediction of the binary and multi-class cardiovascular disease− A machine learning-based fusion approach
In today's world, a massive amount of data is available in almost every sector. This data has
become an asset as we can use this enormous amount of data to find information. Mainly …
become an asset as we can use this enormous amount of data to find information. Mainly …
Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india
The COVID-19 Pandemic has been around for four years and remains a health concern for
everyone. Although things are somewhat returning to normal, increased incidence of COVID …
everyone. Although things are somewhat returning to normal, increased incidence of COVID …
Development of a novel dynamic nosocomial infection risk management method for COVID-19 in outpatient settings
Y Wang, L Wang, W Ma, H Zhao, X Han… - BMC Infectious …, 2024 - Springer
Background Application of accumulated experience and management measures in the
prevention and control of coronavirus disease 2019 (COVID-19) has generally depended on …
prevention and control of coronavirus disease 2019 (COVID-19) has generally depended on …
[HTML][HTML] A bioinformatics tool for predicting future COVID-19 waves based on a retrospective analysis of the second wave in India: model development study
Background Since the start of the COVID-19 pandemic, health policymakers globally have
been attempting to predict an impending wave of COVID-19. India experienced a …
been attempting to predict an impending wave of COVID-19. India experienced a …
COVID-19 spatio-temporal evolution using deep learning at a European level
COVID-19 evolution imposes significant challenges for the European healthcare system.
The heterogeneous spread of the pandemic within EU regions elicited a wide range of …
The heterogeneous spread of the pandemic within EU regions elicited a wide range of …
Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques
Coronavirus has long been considered a global epidemic. It caused the deaths of nearly
7.01 million individuals and caused an economic downturn. The number of verified …
7.01 million individuals and caused an economic downturn. The number of verified …
Forecasting confirmed and recovered COVID-19 cases and deaths in Egypt after the genetic mutation of the virus: ARIMA Box-Jenkins approach
MR Abonazel, NM Darwish - Commun. Math. Biol. Neurosci., 2022 - scik.org
Abstract Coronavirus disease 2019 (COVID-19) is spreading disease all over the world. It is
a real test for all health authorities all over the world including Egypt. After the eruption of …
a real test for all health authorities all over the world including Egypt. After the eruption of …
Ensemble Learning for Improved Thyroid Disease Prediction: A Voting Classifier Approach
Thyroid disease represents a significant contributor to challenges in both medical diagnosis
and the prediction of its onset, making it a complex area of study within medical research …
and the prediction of its onset, making it a complex area of study within medical research …
[HTML][HTML] Sero-prevalence and risk factors for Severe Acute Respiratory Syndrome Coronavirus 2 infection in women and children in a rural district of Bangladesh: A …
Background Bangladesh reported its first COVID-19 case on March 8, 2020. Despite
lockdowns and promoting behavioural interventions, as of December 31, 2021, Bangladesh …
lockdowns and promoting behavioural interventions, as of December 31, 2021, Bangladesh …