426 citations · 433 across the 11 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ME2020★ 1 cited
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test
Simon Kocbek, Primoz Kocbek, Leona Cilar +1
Machine Learning (ML) models are often complex and difficult to interpret due to their 'black-box' characteristics. Interpretability of a ML model is usually defined as the degree…
cs.LG2020★ 426 cited
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic, Primoz Kocbek, Nino Fijacko +3
There is a need of ensuring machine learning models that are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions fo…