Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. - Mahbub Ul Alam 001; Aron Henriksson; John Karlsson Valik; Logan Morgan Ward; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2020)

Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. - Mahbub Ul Alam 001; Aron Henriksson; Hideyuki Tanushi; Emil Thiman; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2021)

Leveraging Clinical BERT in Multimodal Mortality Prediction Models for COVID-19. - Yash Pawar; Aron Henriksson; Pontus Hedberg; Pontus Nauclér (CBMS, 2022)

Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization. - Anastasios Lamproudis; Aron Henriksson; John Karlsson Valik; Pontus Nauclér (ICTAI, 2022)

Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes. - Aron Henriksson; Yash Pawar; Pontus Hedberg; Pontus Nauclér (Artif. Intell. Medicine, 2023)