Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
A comprehensive review for chronic disease prediction using machine learning algorithms
The past few years have seen an emergence of interest in examining the significance of
machine learning (ML) in the medical field. Diseases, health emergencies, and medical …
machine learning (ML) in the medical field. Diseases, health emergencies, and medical …
Survey of deep learning techniques for disease prediction based on omics data
X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
Soft clustering for enhancing the diagnosis of chronic diseases over machine learning algorithms
THH Aldhyani, AS Alshebami… - Journal of healthcare …, 2020 - Wiley Online Library
Chronic diseases represent a serious threat to public health across the world. It is estimated
at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic …
at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic …
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 …
An effective mechanism for early chronic illness detection using multilayer convolution deep learning predictive modelling
The study aims to predict the chronic disease of different patients using a multilayer
convolution deep learning approach, which is a method of deep learning model that treats …
convolution deep learning approach, which is a method of deep learning model that treats …
Forecasting the effects of real-time indoor PM2. 5 on peak expiratory flow rates (PEFR) of asthmatic children in Korea: a deep learning approach
J Woo, JH Lee, Y Kim, G Rudasingwa, DH Lim… - IEEE …, 2022 - ieeexplore.ieee.org
We built a deep learning algorithm to predict the deterioration of health symptoms among
asthmatic children between 8–12 years of age. It is based on Peak Expiratory Flow Rates …
asthmatic children between 8–12 years of age. It is based on Peak Expiratory Flow Rates …
ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases
Chronic diseases (such as diabetes, hypertension, etc) are generally of long duration and
slow progression. These diseases may be implied in electronic medical records (EMR), and …
slow progression. These diseases may be implied in electronic medical records (EMR), and …
Missing value imputation in stature estimation by learning algorithms using anthropometric data: a comparative study
Estimating stature is essential in the process of personal identification. Because it is difficult
to find human remains intact at crime scenes and disaster sites, for instance, methods are …
to find human remains intact at crime scenes and disaster sites, for instance, methods are …
Heart Disease Prediction Using Artificial Intelligence Ensemble Network
Heart disease has climbed its way to the top of the list of the primary causes of death all over
the world. In the past, individuals also referred to heart disease as cardiovascular disease …
the world. In the past, individuals also referred to heart disease as cardiovascular disease …