Table of Contents

• All-Cause Mortality Prediction in T2D PatientsPavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch. 3-13 [doi]
• Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease PredictionsTingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg. 14-25 [doi]
• Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement LearningGabriel Schamberg, Marcus Badgeley, Emery N. Brown. 26-36 [doi]
• SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data GenerationSina Rashidian, Fusheng Wang 0001, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz. 37-48 [doi]
• A Multi-task LSTM Framework for Improved Early Sepsis PredictionTheodoros Tsiligkaridis, Jennifer Sloboda. 49-58 [doi]
• Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit DataPietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi. 59-63 [doi]
• Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPTAnusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang 0028. 67-77 [doi]
• Ontology-Guided Data Augmentation for Medical Document ClassificationMahdi Abdollahi, Xiaoying Gao, Yi Mei 0001, Shameek Ghosh, Jinyan Li. 78-88 [doi]
• Divide to Better ClassifyYves Mercadier, Jérôme Azé, Sandra Bringay. 89-99 [doi]
• Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered OutcomesMohammed Ali Al-garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker. 100-110 [doi]
• Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural NetworksPavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin. 111-121 [doi]
• Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge GraphKonstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras. 122-132 [doi]
• AI Medical School Tutor: Modelling and ImplementationShazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur. 133-145 [doi]
• Lung Cancer Survival Prediction Using Instance-Specific Bayesian NetworksFattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper. 149-159 [doi]
• Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR DataPaolo Fraccaro, Xenophon Evangelopoulos, Blair Edwards. 160-169 [doi]
• Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are ScarceYing Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon. 170-180 [doi]
• Consensus Modeling: A Transfer Learning Approach for Small Health SystemsRoshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon. 181-191 [doi]
• An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products' DiscardsJaber Rad, Calvino Cheng, Jason G. Quinn, Samina Abidi, Robert Liwski, Syed Sibte Raza Abidi. 192-202 [doi]
• Towards Assigning Diagnosis Codes Using Medication HistoryTomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Y. H. Lip, Torben Bjerregaard Larsen, Flemming Skjøth. 203-213 [doi]
• Blockchain-Based Federated Learning in MedicineOmar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste. 214-224 [doi]
• Forming Local Intersections of Projections for Classifying and Searching Histopathology ImagesAditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh. 227-237 [doi]
• Difficulty Translation in Histopathology ImagesJerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour. 238-248 [doi]
• Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray ImagesOstap Viniavskyi, Mariia Dobko, Oles Dobosevych. 249-259 [doi]
• A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology ImageJing Ke, Yiqing Shen 0003, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang. 260-269 [doi]
• A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous InstructionsTom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar. 273-286 [doi]
• Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup DetectionAnita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja. 287-298 [doi]
• Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence MotifsOlgierd Unold, Mateusz Gabor, Witold Dyrka. 299-309 [doi]
• Multi-scale Temporal Memory for Clinical Event Time-Series PredictionJeong Min Lee, Milos Hauskrecht. 313-324 [doi]
• HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive PopulationAriane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger. 325-335 [doi]
• Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO PlanningHelen Zhou, Cheng Cheng 0001, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss. 336-347 [doi]
• Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical EventsTianran Zhang, Muhao Chen, Alex A. T. Bui. 348-358 [doi]
• Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory NetworksPeter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres. 359-370 [doi]
• Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features RelateLinhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen. 371-381 [doi]
• Medical Time-Series Data Generation Using Generative Adversarial NetworksSaloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett. 382-391 [doi]
• Acute Hypertensive Episodes PredictionNevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch. 392-402 [doi]
• Falls Prediction in Care Homes Using Mobile App Data CollectionOfir Dvir, Paul Wolfson, Laurence Lovat, Robert Moskovitch. 403-413 [doi]
• Transitive Sequential Pattern Mining for Discrete Clinical DataHossein Estiri, Sebastien Vasey, Shawn N. Murphy. 414-424 [doi]
• A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for PatientsNick Lik San Fung, Marten J. van Sinderen, Valerie M. Jones, Hermie J. Hermens. 427-439 [doi]
• A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal PlanningWilliam Van Woensel, Samina Abidi, Borna Jafarpour, Syed Sibte Raza Abidi. 440-450 [doi]
• Searching for Pneumothorax in Half a Million Chest X-Ray ImagesAntonio Sze-To, Hamid R. Tizhoosh. 453-462 [doi]
• A New Local Radon Descriptor for Content-Based Image SearchMorteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh. 463-472 [doi]
• Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade IdentificationMatthew Casey, Nianjun Zhou. 475-485 [doi]
• Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical DatasetsMiriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos. 486-496 [doi]