Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis
Abstract Type 2 Diabetes Mellitus (T2DM) is a significant public health problem globally. The
diagnosis and management of diabetes are critical to reduce the diabetes complications …
diagnosis and management of diabetes are critical to reduce the diabetes complications …
[HTML][HTML] A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home
Due to the COVID-19 pandemic, health services around the globe are struggling. An
effective system for monitoring patients can improve healthcare delivery by avoiding in …
effective system for monitoring patients can improve healthcare delivery by avoiding in …
Battling COVID-19 using machine learning: A review
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) known as
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
The pandemic's toll on young adolescents: prevention and intervention targets to preserve their mental health
Purpose Adolescence is characterized by dramatic physical, social, and emotional changes,
making teens particularly vulnerable to the mental health effects of the COVID-19 pandemic …
making teens particularly vulnerable to the mental health effects of the COVID-19 pandemic …
Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2
H Ghazizadeh, N Shakour, S Ghoflchi… - BMC Pulmonary …, 2023 - Springer
Background and objective Corona virus causes respiratory tract infections in mammals. The
latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona …
latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona …
Correlation study to identify the factors affecting COVID-19 case fatality rates in India
AK Upadhyay, S Shukla - … & Metabolic Syndrome: Clinical Research & …, 2021 - Elsevier
Abstract Background and aims In India, COVID-19 case fatality rates (CFRs) have
consistently been very high in states like Punjab and Maharashtra and very low in Kerala …
consistently been very high in states like Punjab and Maharashtra and very low in Kerala …
Prediction of atmospheric PM2.5 level by machine learning techniques in Isfahan, Iran
F Mohammadi, H Teiri, Y Hajizadeh… - Scientific Reports, 2024 - nature.com
With increasing levels of air pollution, air quality prediction has attracted more attention.
Mathematical models are being developed by researchers to achieve precise predictions …
Mathematical models are being developed by researchers to achieve precise predictions …
White blood cell and platelet distribution widths are associated with hypertension: data mining approaches
A Mansoori, NS Farizani Gohari, L Etemad… - Hypertension …, 2024 - nature.com
In this paper, we are going to investigate the association between Hypertension (HTN) and
routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total …
routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total …
Mapping potential desertification-prone areas in North-Eastern Algeria using logistic regression model, GIS, and remote sensing techniques
A Mihi, R Ghazela, D Wissal - Environmental Earth Sciences, 2022 - Springer
Desertification is an environmental threat that affects many countries in the world, and it
poses specially an ecological issue to Algeria. This study aimed to assess areas sensitive to …
poses specially an ecological issue to Algeria. This study aimed to assess areas sensitive to …