Artificial intelligence techniques to predict the airway disorders illness: a systematic review
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …
It is also considered one of the foremost causes of death all around the globe by 2030 …
[HTML][HTML] Comparison of multiclass classification techniques using dry bean dataset
Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …
learning techniques has enormous significance in agricultural sector. It is vital to classify …
Optimization Techniques for Asthma Exacerbation Prediction Models: A Systematic Literature Review
Asthma exacerbations pose a significant global health concern, necessitating effective
predictive models to anticipate and manage these events. This systematic literature review …
predictive models to anticipate and manage these events. This systematic literature review …
An improved machine-learning approach for COVID-19 prediction using Harris Hawks optimization and feature analysis using SHAP
A healthcare monitoring system needs the support of recent technologies such as artificial
intelligence (AI), machine learning (ML), and big data, especially during the COVID-19 …
intelligence (AI), machine learning (ML), and big data, especially during the COVID-19 …
HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis
A stable predictive model is essential for forecasting the chances of cesarean or C-section
(CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and …
(CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and …
Artificial intelligence in medical image processing for airway diseases
Artificial intelligence is the most contentious issue in diagnostic and therapeutic medical
imaging research today. Numerous artificial intelligence (AI)-based architectures have been …
imaging research today. Numerous artificial intelligence (AI)-based architectures have been …
Development of a smartphone-based expert system for COVID-19 risk prediction at early stage
COVID-19 has imposed many challenges and barriers on traditional healthcare systems due
to the high risk of being infected by the coronavirus. Modern electronic devices like …
to the high risk of being infected by the coronavirus. Modern electronic devices like …
Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models
Measles is one of the significant public health issues responsible for the high mortality rate
around the globe, especially for develo** countries. Using nationally representative …
around the globe, especially for develo** countries. Using nationally representative …
Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …
[PDF][PDF] Machine learning ensemble approach for healthcare data analytics
In healthcare machine learning is used mainly for disease diagnosis or acute condition
detection based on patient data analysis. In the proposed work diabetic patient dataset …
detection based on patient data analysis. In the proposed work diabetic patient dataset …