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,...
Learning methods
Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques
Study population and observational indexA retrospective study was conducted on 352 patients diagnosed with azoospermia, collected by the Department of...
New learning complexes are shaping the environmental culture of tomorrow
Even during the height of the conflict, various educational buildings continued to be constructed throughout Israel—buildings that differ significantly...
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...
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2
Alwi, R. S. & Garlapati, C. New correlations for the solubility of anticancer drugs in supercritical carbon dioxide. Chem. Pap....
Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth
Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et...
