Temporal and spatial self supervised learning methods for electrocardiograms
DatasetsWe validated the performance of the TSSL model using three publicly available ECG datasets. Each dataset was divided into training,...
Methods
Predicting preterm birth using machine learning methods
Rubarth, L. B. & Quinn, J. Respiratory development and respiratory distress syndrome. Neonatal Netw. 34, 231–238 (2015).Article PubMed MATH Google...
Conor McGregor believes Sean Strickland’s ‘unconventional’ training methods are key to his success
Sean Strickland’s fight style is one of the most unique in combat sports and that comes with some extremely unconventional...
Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis
This study enhances automated joint assessment in rheumatoid arthritis through deep learning. Our model effectively manages variability in X-ray images...
Evaluating climate-related financial policies’ impact on decarbonization with machine learning methods
Mapping climate-related financial policy evolution: sequences, transitions, and policy sequencing scoresIn this study, a policy sequence refers to the chronological...
Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods
Modeling backgroundIn this part, the description of each machine learning algorithm utilized in the current study is put forward.Decision treeDecision...
