GitHub

Creus-Marti/CoDaLoMic-Tutorial

Frequency Balances Model (FBM), described in Creus-Martí et al (2021). Bayesien Principal Balances Model (BPBM), presented in Creus-Martí et al (2022). The model described in Creus-Martí et al (2018) ...
GitHub

03-actor-critic.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Exploring predictors of low nutritional literacy in maintenance hemodialysis patients: a machine learning and network analysis approach

During data preprocessing, multinomial categorical variables (e.g., marital status and living arrangement) were encoded using one-hot encoding. To address the class imbalance in nutritional literacy ...
Frontiers

A Bayesian reevaluation of randomized controlled trials in assisted reproductive technology: quantifying evidence strength for null and alternative hypotheses

Distribution of BF 10 across the included studies. This bar chart shows the percentage of the 35 included ART RCTs that fall into four predefined evidence-strength categories from Bayesian reanalysis.
The Lancet

Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning models

aInstitute of Computer-Assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité Augustenburger Platz 1, 13353 Berlin, Germany bDepartment of Congenital Heart Disease – Pediatric Cardiology, ...