[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Objective Temporal electronic health records (EHRs) contain a wealth of information for
secondary uses, such as clinical events prediction and chronic disease management …
secondary uses, such as clinical events prediction and chronic disease management …
Ensemble deep learning models for heart disease classification: A case study from Mexico
Heart diseases are highly ranked among the leading causes of mortality in the world. They
have various types including vascular, ischemic, and hypertensive heart disease. A large …
have various types including vascular, ischemic, and hypertensive heart disease. A large …
DASMcC: Data Augmented SMOTE Multi-class Classifier for prediction of Cardiovascular Diseases using time series features
One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
[HTML][HTML] Profiling hearing aid users through big data explainable artificial intelligence techniques
Debilitating hearing loss (HL) affects~ 6% of the human population. Only 20% of the people
in need of a hearing assistive device will eventually seek and acquire one. The number of …
in need of a hearing assistive device will eventually seek and acquire one. The number of …
Cardiovascular Disease Prediction Using LSTM Algorithm based On Cytokines
The modern lifestyle's busy schedule often results in unhealthy habits that lead to anxiety
and depression. To deal with stress, many people engage in harmful behaviours such as …
and depression. To deal with stress, many people engage in harmful behaviours such as …
Advanced detection of coronary artery disease via deep learning analysis of plasma cytokine data
The 2017 World Health Organization Fact Sheet highlights that coronary artery disease is
the leading cause of death globally, responsible for approximately 30% of all deaths. In this …
the leading cause of death globally, responsible for approximately 30% of all deaths. In this …
[HTML][HTML] Yoga Practices Effect on VCSS-based Classification of Patients with Chronic Venous Insufficiency based on Hybrid Machine Learning Algorithms
C Pan, L Qi, L Zhao, Y Wei - … Journal of Cognitive Computing in Engineering, 2025 - Elsevier
Advancements in technology have increased work demands, neglecting individual well-
being and causing mental pressure and decreased fitness. The COVID-19 pandemic has …
being and causing mental pressure and decreased fitness. The COVID-19 pandemic has …
LSTM perfomance analysis for predictive models based on Covid-19 dataset
I Cruz-Mendoza, J Quevedo-Pulido… - 2020 IEEE XXVII …, 2020 - ieeexplore.ieee.org
Within the large amount of data that can be processed with Neural Networks (NN), COVID-
19 is leaving us a lot of information that is susceptible to be treated and set trends regarding …
19 is leaving us a lot of information that is susceptible to be treated and set trends regarding …
Determination of heart disease based on analysis of patient statistics using the fuzzy c-means clustering algorithm
I Meniailov, D Chumachenko… - 2020 IEEE Third …, 2020 - ieeexplore.ieee.org
The statistical characteristics of patients have a great influence on determining the likelihood
of heart disease. To determine the disease in medical diagnostics, statistical methods are …
of heart disease. To determine the disease in medical diagnostics, statistical methods are …
Integrating medical rules to assist attention for sleep apnea detection
J Li, X Song, Y Lin, J Wang, D Guo, J Chen - Robotica, 2023 - cambridge.org
Sleep apnea is one of the most common sleep disorders. The consequences of
undiagnosed sleep apnea can be very serious, increasing the risk of high blood pressure …
undiagnosed sleep apnea can be very serious, increasing the risk of high blood pressure …