[HTML][HTML] A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …
belonging to one class is lower than the other. Ensemble learning combines multiple models …
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
Artificial intelligence and internet of things based healthcare 4.0 monitoring system
Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …
accurate results. The early predictions of disease help doctors to make early decisions to …
A novel fog computing approach for minimization of latency in healthcare using machine learning
In the recent scenario, the most challenging requirements are to handle the massive
generation of multimedia data from the Internet of Things (IoT) devices which becomes very …
generation of multimedia data from the Internet of Things (IoT) devices which becomes very …
An augmented artificial intelligence approach for chronic diseases prediction
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …
therefore become an important research area to enhance patient survival rates. Several …
Comparison of gradient boosted decision trees and random forest for groundwater potential map** in Dholpur (Rajasthan), India
S Sachdeva, B Kumar - Stochastic Environmental Research and Risk …, 2021 - Springer
In the drought prone district of Dholpur in Rajasthan, India, groundwater is a lifeline for its
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
Predicting depression among rural and urban disabled elderly in China using a random forest classifier
Y **n, X Ren - BMC psychiatry, 2022 - Springer
With global aging, the number of elderly with physical disabilities is also increasing.
Compared with the ordinary elderly, the elderly who lose their independence are more likely …
Compared with the ordinary elderly, the elderly who lose their independence are more likely …
Diagnosis and Prognosis of COVID-19 disease using routine blood values and LogNNet neural network
Since February 2020, the world has been engaged in an intense struggle with the COVID-19
disease, and health systems have come under tragic pressure as the disease turned into a …
disease, and health systems have come under tragic pressure as the disease turned into a …
[HTML][HTML] Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
Background Meal-induced metabolic changes trigger an acute inflammatory response,
contributing to chronic inflammation and associated diseases. Objectives We aimed to …
contributing to chronic inflammation and associated diseases. Objectives We aimed to …
Novel Feature Reduction (NFR) model with machine learning and data mining algorithms for effective disease risk prediction
SJ Pasha, ES Mohamed - Ieee Access, 2020 - ieeexplore.ieee.org
Presently, the application of machine learning (ML) and data mining (DM) techniques have a
vital role in healthcare systems and wisely convert all obtainable data into beneficial …
vital role in healthcare systems and wisely convert all obtainable data into beneficial …