A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach
ASM Faizal, TM Thevarajah, SM Khor… - Computer methods and …, 2021 - Elsevier
Cardiovascular disease (CVD) is the leading cause of death worldwide and is a global
health issue. Traditionally, statistical models are used commonly in the risk prediction and …
health issue. Traditionally, statistical models are used commonly in the risk prediction and …
Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review
J Stewart, J Lu, A Goudie, M Bennamoun, P Sprivulis… - PloS one, 2021 - journals.plos.org
Background Chest pain is amongst the most common reason for presentation to the
emergency department (ED). There are many causes of chest pain, and it is important for the …
emergency department (ED). There are many causes of chest pain, and it is important for the …
Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review
In a hospital environment, patients are monitored continuously by electronic devices and
health professionals. Therefore, a large amount of data is collected and stored in electronic …
health professionals. Therefore, a large amount of data is collected and stored in electronic …
[HTML][HTML] The value of Coronary Artery Disease–Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta …
Method: Online databases of PubMed, Embase, Scopus, and Web of Science were
searched until September 19 th, 2022, for studies on the value of CAD-RADS categorization …
searched until September 19 th, 2022, for studies on the value of CAD-RADS categorization …
Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region
K Mehrabani-Zeinabad, A Feizi, M Sadeghi… - BMC Medical Informatics …, 2023 - Springer
Background Cardiovascular diseases (CVD) are the predominant cause of early death
worldwide. Identification of people with a high risk of being affected by CVD is consequential …
worldwide. Identification of people with a high risk of being affected by CVD is consequential …
Understanding violin players' skill level based on motion capture: a data-driven perspective
Learning to play and perform a music instrument is a complex cognitive task, requiring high
conscious control and coordination of an impressive number of cognitive and sensorimotor …
conscious control and coordination of an impressive number of cognitive and sensorimotor …
Mining big data with random forests
In the current big data era, naive implementations of well-known learning algorithms cannot
efficiently and effectively deal with large datasets. Random forests (RFs) are a popular …
efficiently and effectively deal with large datasets. Random forests (RFs) are a popular …
Artificial intelligence and machine learning in prehospital emergency care: A scoping review
ML Chee, ML Chee, H Huang, K Mazzochi, K Taylor… - Iscience, 2023 - cell.com
Our scoping review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
Heart rate n-variability (HRnV) and its application to risk stratification of chest pain patients in the emergency department
Background Chest pain is one of the most common complaints among patients presenting to
the emergency department (ED). Causes of chest pain can be benign or life threatening …
the emergency department (ED). Causes of chest pain can be benign or life threatening …
A broad learning system with ensemble and classification methods for multi-step-ahead wind speed prediction
Short-term wind speed prediction plays a significant role in the management of large-scale
wind power plants. However, wind speed prediction is extremely complex and difficult due to …
wind power plants. However, wind speed prediction is extremely complex and difficult due to …