[HTML][HTML] Learning from heterogeneous temporal data in electronic health records

J Zhao, P Papapetrou, L Asker, H Boström - Journal of biomedical …, 2017 - Elsevier
Electronic health records contain large amounts of longitudinal data that are valuable for
biomedical informatics research. The application of machine learning is a promising …

Prevalence estimation of protected health information in Swedish clinical text

A Henriksson, M Kvist, H Dalianis - Informatics for Health …, 2017 - ebooks.iospress.nl
Obscuring protected health information (PHI) in the clinical text of health records facilitates
the secondary use of healthcare data in a privacy-preserving manner. Although automatic …

[HTML][HTML] Order in the random forest

I Karlsson - 2017 - diva-portal.org
In many domains, repeated measurements are systematically collected to obtain the
characteristics of objects or situations that evolve over time or other logical orderings …

[PDF][PDF] Learning from administrative health registries

J Rebane, I Karlsson, L Asker, H Boström… - ECML-PKDD, 2017 - ceur-ws.org
Over the last decades the healthcare domain has seen a tremendous increase and interest
in methods for making inference about patient care using large quantities of medical data …

[PDF][PDF] Universita di Pisa

S Rinnone - core.ac.uk
Questa tesi affronta il tema della valutazione automatica della leggibilita come passo
preliminare alla semplificazione dei testi scritti. In particolare la tesi si concentra sulla …