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ORCID18th AIME 2020: Minneapolis, MN, USA
- Martin Michalowski
, Robert Moskovitch:
Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings. Lecture Notes in Computer Science 12299, Springer 2020, ISBN 978-3-030-59136-6
Deep Learning
- Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch:
All-Cause Mortality Prediction in T2D Patients. 3-13 - Tingyi 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 F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. 14-25 - Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown:
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. 26-36 - Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz:
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. 37-48 - Theodoros Tsiligkaridis, Jennifer Sloboda:
A Multi-task LSTM Framework for Improved Early Sepsis Prediction. 49-58 - Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi:
Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. 59-63
Natural Language Processing
- Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang:
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. 67-77 - Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
Ontology-Guided Data Augmentation for Medical Document Classification. 78-88 - Yves Mercadier, Jérôme Azé, Sandra Bringay:
Divide to Better Classify. 89-99 - Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker:
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. 100-110 - Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin:
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. 111-121 - Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras:
Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph. 122-132 - Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur:
AI Medical School Tutor: Modelling and Implementation. 133-145
Predictive Modeling
- Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper:
Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. 149-159 - Paolo Fraccaro, Xenophon Evangelopoulos, Blair Edwards:
Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR Data. 160-169 - Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon:
Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce. 170-180 - Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon:
Consensus Modeling: A Transfer Learning Approach for Small Health Systems. 181-191 - Jaber Rad, Calvino Cheng, Jason G. Quinn, Samina Abidi, Robert Liwski, Syed Sibte Raza Abidi:
An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products' Discards. 192-202 - Tomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Y. H. Lip, Torben Bjerregaard Larsen, Flemming Skjøth:
Towards Assigning Diagnosis Codes Using Medication History. 203-213 - Omar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste:
Blockchain-Based Federated Learning in Medicine. 214-224
Image Processing
- Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. 227-237 - Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. 238-248 - Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych:
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images. 249-259 - Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang:
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. 260-269
Unsupervised Learning
- Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar:
A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions. 273-286 - Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja:
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. 287-298 - Olgierd Unold, Mateusz Gabor, Witold Dyrka:
Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs. 299-309
Temporal Data Analysis
- Jeongmin Lee, Milos Hauskrecht:
Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. 313-324 - Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger:
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population. 325-335 - Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss:
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. 336-347 - Tianran Zhang, Muhao Chen, Alex A. T. Bui:
Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. 348-358 - Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres:
Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks. 359-370 - Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen:
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. 371-381 - Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett:
Medical Time-Series Data Generation Using Generative Adversarial Networks. 382-391 - Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch:
Acute Hypertensive Episodes Prediction. 392-402 - Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch:
Falls Prediction in Care Homes Using Mobile App Data Collection. 403-413 - Hossein Estiri, Sebastien Vasey, Shawn N. Murphy:
Transitive Sequential Pattern Mining for Discrete Clinical Data. 414-424
Clinical Practice Guidelines
- Nick Lik San Fung, Marten J. van Sinderen, Valerie M. Jones, Hermie J. Hermens:
A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients. 427-439 - William Van Woensel, Samina Abidi, Borna Jafarpour, Syed Sibte Raza Abidi:
A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning. 440-450
Information Retrieval
- Antonio Sze-To, Hamid R. Tizhoosh:
Searching for Pneumothorax in Half a Million Chest X-Ray Images. 453-462 - Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh:
A New Local Radon Descriptor for Content-Based Image Search. 463-472
Bioinformatics
- Matthew Casey, Nianjun Zhou:
Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade Identification. 475-485 - Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos:
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. 486-496
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