1 citations · 1 across the 3 of their papers we have counts for
3 papers
Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation
Henry Pigot, Paulo J. G. Lisboa, Sandra Ortega-Martorell +3
We convert black-box clinical prediction models for tabular data into standalone nomograms that can be audited term by term. PRiSM (Partial Responses in Structured Models) takes th…
The Partial Response Network: a neural network nomogram
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman +1
Among interpretable machine learning methods, the class of Generalised Additive Neural Networks (GANNs) is referred to as Self-Explaining Neural Networks (SENN) because of the line…
Transformative Machine Learning
Ivan Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren +1
The key to success in machine learning (ML) is the use of effective data representations. Traditionally, data representations were hand-crafted. Recently it has been demonstrated t…