| 2021 | Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift. | Miguel Rios, Ameen Abu-Hanna |
| 2021 | Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports. | Luca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Roberto Maroldi, Ivan Serina |
| 2021 | Customized Neural Predictive Medical Text: A Use-Case on Caregivers. | John Pavlopoulos, Panagiotis Papapetrou |
| 2021 | CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. | Enea Parimbelli, Matteo Gabetta, Giordano Lanzola, Francesca Polce, Szymon Wilk, David Glasspool, Alexandra Kogan, Roy Leizer, Vitali Gisko, Nicole Veggiotti, Silvia Panzarasa, Rowdy de Groot, Manuel Ottaviano, Lucia Sacchi, Ronald Cornet, Mor Peleg, Silvana Quaglini |
| 2021 | Monitoring Quality of Life Indicators at Home from Sparse, and Low-Cost Sensor Data. | Dympna O'Sullivan, Rilwan Remilekun Basaru, Simone Stumpf, Neil A. M. Maiden |
| 2021 | Analysis of Health Screening Records Using Interpretations of Predictive Models. | Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma |
| 2021 | A Cautionary Tale on Using Covid-19 Data for Machine Learning. | Diogo Nogueira-Leite, Joo Miguel Alves, Manuel Marques-Cruz, Ricardo Cruz-Correia |
| 2021 | Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAs. | Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu |
| 2021 | A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. | Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas |
| 2021 | MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning. | Martin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier |
| 2021 | Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings. | Joseph Miano, Charity Hilton, Vasu Gangrade, Mary Pomeroy, Jacqueline Siven, Michael Flynn, Frances Tilashalski |
| 2021 | Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm. | Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Bernardo Cnovas-Segura |
| 2021 | The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer. | Torec T. Luik, Miguel Rios, Ameen Abu-Hanna, Henk C. P. M. van Weert, Martijn C. Schut |
| 2021 | Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. | Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo |
| 2021 | Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse. | Aneta Lisowska, Szymon Wilk, Mor Peleg |
| 2021 | Evaluation of Encoder-Decoder Architectures for Automatic Skin Lesion Segmentation. | Jos G. P. Lima, Geraldo Braz Jnior, Joo Dallyson Sousa de Almeida, Caio Eduardo Falco Matos |
| 2021 | Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning. | Jeongmin Lee, Milos Hauskrecht |
| 2021 | Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. | Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Menca, Johannes Frnkranz |
| 2021 | A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. | Athresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan |
| 2021 | Enhancing the Value of Counterfactual Explanations for Deep Learning. | Yan Jia, John A. McDermid, Ibrahim Habli |
| 2021 | Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. | Lee B. Hinkle, Vangelis Metsis |
| 2021 | Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. | Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Bttinger |
| 2021 | An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models. | Nils Gumpfer, Joshua Prim, Dimitri Grn, Jennifer Hannig, Till Keller, Michael Guckert |
| 2021 | Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records. | Aynur Guluzade, Endri Kacupaj, Maria Maleshkova |
| 2021 | Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. | Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour |