model evaluation

How to publish a model that hasn’t converged

The article by Matsuo et al. (2019) appeared in my newsletter. It is another attempt to sell deep-learning (DL) as a promising alternative to traditional survival analysis. To this end, they compare the performance of their DL model to Cox proportional hazard regression (CPH) when predicting survival for women with newly diagnosed cervical cancer.

Naive classification beats deep-learning

Overview Mitani and co-authors’ present a deep-learning algorithm trained with retinal images and participants’ clinical data from the UK Biobank to estimate blood-haemoglobin levels and predict the presence or absence of anaemia (Mitani et al.