Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical …
Background Machine learning (ML) is increasingly used in research for subtype definition
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
[HTML][HTML] Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol
S Byun, AY Kim, EH Jang, S Kim, KW Choi… - Computers in biology …, 2019 - Elsevier
Background Major depressive disorder (MDD) is one of the leading causes of disability;
however, current MDD diagnosis methods lack an objective assessment of depressive …
however, current MDD diagnosis methods lack an objective assessment of depressive …
Functional brain–heart interplay extends to the multifractal domain
The study of functional brain–heart interplay has provided meaningful insights in cardiology
and neuroscience. Regarding biosignal processing, this interplay involves predominantly …
and neuroscience. Regarding biosignal processing, this interplay involves predominantly …
[HTML][HTML] Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm
RP Cherian, N Thomas, S Venkitachalam - Journal of Biomedical …, 2020 - Elsevier
Heart disease remains one of the significantcauses ofmortality and morbidity amongst the
world's population. Predicting heart disease is considered as one of the vital issues in …
world's population. Predicting heart disease is considered as one of the vital issues in …
Length of stay prediction for ICU patients using individualized single classification algorithm
Abstract Background and Objective: In intensive care units (ICUs), length of stay (LOS)
prediction is critical to help doctors and nurses select appropriate treatment options and …
prediction is critical to help doctors and nurses select appropriate treatment options and …
Predictive classification of ICU readmission using weight decay random forest
Intensive care unit (ICU) readmissions of critically ill patients result in significant increases in
mortality rates and costs, but most readmissions could be avoided. Therefore, the medical …
mortality rates and costs, but most readmissions could be avoided. Therefore, the medical …
Heart disease prediction using hybrid fuzzy K-medoids attribute weighting method with DBN-KELM based regression model
Automated prediction can be offered for further treatment to make effective and relieve the
difficulties in the diagnosis of heart condition of patient. In this paper, a hybrid method is …
difficulties in the diagnosis of heart condition of patient. In this paper, a hybrid method is …
A metaheuristic-enabled training system for ensemble classification technique for heart disease prediction
Various conditions that affect the muscles, blood arteries, heart, valves, or internal electrical
pathways that regulate muscle contraction are referred to as" heart diseases." This work …
pathways that regulate muscle contraction are referred to as" heart diseases." This work …
[图书][B] Functional brain-heart interplay
V Catrambone, G Valenza - 2021 - Springer
Would you assess the performance of a soccer player by looking at them playing in the field
completely alone? Surely you would get overall information about their playing skills and …
completely alone? Surely you would get overall information about their playing skills and …
Correlates of person-specific rates of change in sensor-derived physical activity metrics of daily living in the Rush Memory and Aging Project
This study characterized person-specific rates of change of total daily physical activity
(TDPA) and identified correlates of this change. TDPA metrics were extracted from multiday …
(TDPA) and identified correlates of this change. TDPA metrics were extracted from multiday …