A systematic review of emerging information technologies for sustainable data-centric health-care
Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
Prediction of stroke disease with demographic and behavioural data using random forest algorithm
Stroke is a major cause of death worldwide, resulting from a blockage in the flow of blood to
different parts of the brain. Many studies have proposed a stroke disease prediction model …
different parts of the brain. Many studies have proposed a stroke disease prediction model …
Diagnosis of asthma in children based on symptoms: a machine learning approach
B Mali, S Dhal, AK Das - TENCON 2021-2021 IEEE Region 10 …, 2021 - ieeexplore.ieee.org
Asthma is a chronic disease which is affecting a huge population around the world. In this
disease, air passages of lungs in a human body become narrow due to inflammation and …
disease, air passages of lungs in a human body become narrow due to inflammation and …
[HTML][HTML] HDQNN-Net: An Optimal Asthma Disease Detection Technique for Voice Signal Using Hybrid Deep Q-Neural Networks
MA Iqbal, K Devarajan… - Journal of Mobile …, 2023 - journals.riverpublishers.com
Recently, asthma patients are severely suffering COVID-19 disease, thus the asthma has
become one of the dangerous diseases in the world. Further, asthma is occurring in all age …
become one of the dangerous diseases in the world. Further, asthma is occurring in all age …
[HTML][HTML] Real Time Asthma Disease Detection and Identification Technique from Speech Signals Using Hybrid Dense Convolutional Neural Network
MA Iqbal, K Devarajan… - Journal of Mobile …, 2023 - journals.riverpublishers.com
Recently, asthma patients are severely suffering COVID-19 disease, thus the asthma has
become one of the dangerous diseases in the world. Further, asthma is occurring in all age …
become one of the dangerous diseases in the world. Further, asthma is occurring in all age …
[PDF][PDF] Prediction of Stroke Disease with Demographic and Behavioural Data Using Random Forest Algorithm. Analytics 2023, 2, 604–617
O Shobayo, O Zachariah, MO Odusami, B Ogunleye - 2023 - academia.edu
Stroke is a major cause of death worldwide, resulting from a blockage in the flow of blood to
different parts of the brain. Many studies have proposed a stroke disease prediction model …
different parts of the brain. Many studies have proposed a stroke disease prediction model …
Framework for Benefit-Based Multiclass Classification of Diseases
S Sooklal, P Hosein - 2024 - researchsquare.com
Purpose: Health datasets typically comprise of data that are heavily skewed towards the
healthy class, thus resulting in classifiers erring towards this majority class. Due to this …
healthy class, thus resulting in classifiers erring towards this majority class. Due to this …
Framework for Benefit-Based Multiclass Classification
S Sooklal, P Hosein - 2022 - researchsquare.com
Health datasets typically comprise of data that are heavily skewed towards the healthy class,
thus resulting in classifiers being biased towards this majority class. Due to this imbalance of …
thus resulting in classifiers being biased towards this majority class. Due to this imbalance of …
[PDF][PDF] INTELLIGENT CHRONIC CARE DISEASE MANAGEMENT USING PREDICTIVE DATA ANALYTICS & MACHINE LEARNING
SK Viswanathan, L Shakkeera… - International Journal of …, 2021 - academia.edu
Chronic diseases are the primary causes for the death in world. It is growing rapidly in the
healthcare with complications in treatment for patients. This disease is characterized by …
healthcare with complications in treatment for patients. This disease is characterized by …