Accuracies, merits and demerits of the models in predicting labor

PDF] Commentary on a combined approach to the problem of

José REYES-LAGOS, Professor (Full), PhD in Biomedical Engineering, Universidad Autónoma del Estado de México (UAEM), Toluca, School of Medicine

PDF) Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies

José REYES-LAGOS, Professor (Full), PhD in Biomedical Engineering, Universidad Autónoma del Estado de México (UAEM), Toluca, School of Medicine

Development of prognostic model for preterm birth using machine

Supervised vs Unsupervised Learning Explained

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

Oluwarotimi SAMUEL, Senior Lecturer, Ph.D. (Pattern Recognition and Intelligent Systems), University of Derby, Derby, School of Computing & Engineering

Establishment of a model for predicting the outcome of induced