Table of Contents

• The Myth of Complete AI-FairnessVirginia Dignum. 3-8 [doi]
• A Petri Dish for Histopathology Image AnalysisJerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour. 11-24 [doi]
• fMRI Multiple Missing Values Imputation Regularized by a Recurrent DenoiserDavid Calhas, Rui Henriques. 25-35 [doi]
• Bayesian Deep Active Learning for Medical Image AnalysisBiraja Ghoshal, Stephen Swift, Allan Tucker. 36-42 [doi]
• A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging ProteomicsGiulia Campi, Giovanna Nicora, Giulia Fiorentino, Andrew Smith, Fulvio Magni, Silvia Garagna, Maurizio Zuccotti, Riccardo Bellazzi. 43-47 [doi]
• Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAsMohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu 0001. 51-60 [doi]
• Sum-Product Networks for Early Outbreak Detection of Emerging DiseasesMoritz Kulessa, Bennet Wittelsbach, Eneldo Loza Mencía, Johannes Fürnkranz. 61-71 [doi]
• Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume PulseAneta Lisowska, Szymon Wilk, Mor Peleg. 72-82 [doi]
• Primary Care Datasets for Early Lung Cancer Detection: An AI Led ApproachGoce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin. 83-92 [doi]
• Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User TimelinesDavy Weissenbacher, Siddharth Rawal, Arjun Magge, Graciela Gonzalez-Hernandez. 93-102 [doi]
• ICU Days-to-Discharge Analysis with Machine Learning TechnologyDavid Cuadrado, David Riaño 0001. 103-113 [doi]
• Transformers for Multi-label Classification of Medical Text: An Empirical ComparisonVithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer. 114-123 [doi]
• Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary DisordersWilliam Van Woensel, Manal Elnenaei, Syed Ali Imran, Syed Sibte Raza Abidi. 124-134 [doi]
• Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive ModelsMohammadamin Tajgardoon, Shyam Visweswaran. 135-145 [doi]
• Analysis of Health Screening Records Using Interpretations of Predictive ModelsYuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma. 146-151 [doi]
• Seasonality in Infection Predictions Using Interpretable Models for High Dimensional Imbalanced DatasetsBernardo Cánovas-Segura, Antonio Morales Nicolás, José M. Juárez, Manuel Campos. 152-156 [doi]
• Monitoring Quality of Life Indicators at Home from Sparse, and Low-Cost Sensor DataDympna O'Sullivan, Rilwan Basaru, Simone Stumpf, Neil A. M. Maiden. 157-162 [doi]
• Detection of Parkinson's Disease Early Progressors Using Routine Clinical PredictorsMarco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov. 163-167 [doi]
• Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi TaskAlessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov. 168-172 [doi]
• Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive LearningJeong Min Lee, Milos Hauskrecht. 175-186 [doi]
• Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail SettingsJoseph Miano, Charity Hilton, Vasu Gangrade, Mary Pomeroy, Jacqueline Siven, Michael Flynn, Frances Tilashalski. 187-198 [doi]
• Deep Kernel Learning for Mortality Prediction in the Face of Temporal ShiftMiguel Rios, Ameen Abu-Hanna. 199-208 [doi]
• Model Evaluation Approaches for Human Activity Recognition from Time-Series DataLee B. Hinkle, Vangelis Metsis. 209-215 [doi]
• Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health RecordsMelanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger. 219-228 [doi]
• Stratification of Parkinson's Disease Patients via Multi-view ClusteringAnita Valmarska, Nada Lavrac, Marko Robnik-Sikonja. 229-239 [doi]
• Disentangled Hyperspherical Clustering for Sepsis PhenotypingCheng Cheng 0001, Jason Kennedy, Christopher Seymour, Jeremy C. Weiss. 240-245 [doi]
• Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery AlgorithmAntonio López Martínez-Carrasco, Jose M. Juarez, Manuel Campos, Bernardo Cánovas-Segura. 246-251 [doi]
• Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding ApproachDevendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan. 252-257 [doi]
• Detection of Junctional Ectopic Tachycardia by Central Venous PressureXin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen, Genevera I. Allen, Parag N. Jain. 258-262 [doi]
• A Cautionary Tale on Using Covid-19 Data for Machine LearningDiogo Nogueira-Leite, João Miguel Alves, Manuel Marques-Cruz, Ricardo Cruz-Correia. 265-275 [doi]
• MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using PlanningMartin Michalowski, Malvika Rao, Szymon Wilk, Wojtek Michalowski, Marc Carrier. 276-286 [doi]
• Explanations in Digital Health: The Case of Supporting People LifestylesMilene Santos Teixeira, Ivan Donadello, Mauro Dragoni. 287-292 [doi]
• Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient MonitoringKain Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze. 293-297 [doi]
• CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept DemonstrationEnea 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. 298-303 [doi]
• Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest RadiographsManu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour. 307-317 [doi]
• An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern ItalyMattia Chiari, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Nicholas Rossetti, Ivan Serina. 318-328 [doi]
• Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up DataEnrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo. 329-337 [doi]
• Counterfactual Explanations for Survival Prediction of Cardiovascular ICU PatientsZhendong Wang, Isak Samsten, Panagiotis Papapetrou. 338-348 [doi]
• Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN FeaturesHimanshu K. Gajera, Mukesh A. Zaveri, Deepak Ranjan Nayak. 349-354 [doi]
• Mobile Aided System of Deep-Learning Based Cataract Grading from Fundus ImagesYaroub Elloumi. 355-360 [doi]
• Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine DevelopmentBhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker. 361-366 [doi]
• Attention-Based Explanation in a Deep Learning Model For Classifying Radiology ReportsLuca Putelli, Alfonso Emilio Gerevini, Alberto Lavelli, Roberto Maroldi, Ivan Serina. 367-372 [doi]
• Evaluation of Encoder-Decoder Architectures for Automatic Skin Lesion SegmentationJosé G. P. Lima, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Caio Eduardo Falcão Matos. 373-377 [doi]
• A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest ImagesAmir Bouden, Ahmed Ghazi Blaiech, Khaled Ben Khalifa, Asma Ben Abdallah, Mohamed Hédi Bedoui. 378-383 [doi]
• An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI ModelsNils Gumpfer, Joshua Prim, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert. 384-388 [doi]
• Enhancing the Value of Counterfactual Explanations for Deep LearningYan Jia, John McDermid, Ibrahim Habli. 389-394 [doi]
• A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH DescriptorsNikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas. 397-407 [doi]
• Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical RecordsAynur Guluzade, Endri Kacupaj, Maria Maleshkova. 408-417 [doi]
• Modeling and Representation by Graphs of the Reasoning of an Emergency Doctor: Symptom Checker MedVirLoïc Etienne, Francis Faux, Olivier Roecker. 418-427 [doi]
• Effect of Depth Order on Iterative Nested Named Entity Recognition ModelsPerceval Wajsbürt, Yoann Taillé, Xavier Tannier. 428-432 [doi]
• The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung CancerTorec T. Luik, Miguel Rios, Ameen Abu-Hanna, Henk C. P. M. van Weert, Martijn C. Schut. 433-437 [doi]
• Customized Neural Predictive Medical Text: A Use-Case on CaregiversJohn Pavlopoulos, Panagiotis Papapetrou. 438-443 [doi]
• Outlier Detection for GP Referrals in OtorhinolaryngologyChee Keong Wee, Nathan Wee. 444-451 [doi]
• The Champollion Project: Automatic Structuration of Clinical Features from Medical RecordsOliver Hijano Cubelos, Thomas Balezeau, Julien Guerin. 452-456 [doi]
• Modelling and Assessment of One-Drug Dose TitrationDavid Riaño 0001, Aida Kamisalic. 459-468 [doi]
• TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD CodingBiplob Biswas, Thai-Hoang Pham, Ping Zhang. 469-478 [doi]
• Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation LearningMatthew Barren, Milos Hauskrecht. 479-490 [doi]
• Identifying Symptom Clusters Through Association Rule MiningMikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah S. R. Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate. 491-496 [doi]
• A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational DiabetesAthresh Karanam, Alexander L. Hayes, Harsha Kokel, David M. Haas, Predrag Radivojac, Sriraam Natarajan. 497-502 [doi]