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Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings 2020 book

Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings

Details Of The Book

Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings

edition: 1st ed. 
Authors:   
serie: Lecture Notes in Computer Science 12299 
ISBN : 9783030591366, 9783030591373 
publisher: Springer International Publishing;Springer 
publish year: 2020 
pages: 504 
language: English 
ebook format : PDF (It will be converted to PDF, EPUB OR AZW3 if requested by the user) 
file size: 47 MB 

price : $13.2 15 With 12% OFF



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You can Download Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings Book After Make Payment, According to the customer's request, this book can be converted into PDF, EPUB, AZW3 and DJVU formats.


Abstract Of The Book



Table Of Contents

Front Matter ....Pages i-xix
Front Matter ....Pages 1-1
All-Cause Mortality Prediction in T2D Patients (Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch)....Pages 3-13
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions (Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry et al.)....Pages 14-25
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning (Gabriel Schamberg, Marcus Badgeley, Emery N. Brown)....Pages 26-36
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation (Sina Rashidian, Fusheng Wang, Richard Moffitt, Victor Garcia, Anurag Dutt, Wei Chang et al.)....Pages 37-48
A Multi-task LSTM Framework for Improved Early Sepsis Prediction (Theodoros Tsiligkaridis, Jennifer Sloboda)....Pages 49-58
Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data (Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi)....Pages 59-63
Front Matter ....Pages 65-65
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT (Anusha Bompelli, Greg Silverman, Raymond Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov et al.)....Pages 67-77
Ontology-Guided Data Augmentation for Medical Document Classification (Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li)....Pages 78-88
Divide to Better Classify (Yves Mercadier, Jérôme Azé, Sandra Bringay)....Pages 89-99
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes (Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie et al.)....Pages 100-110
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks (Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin)....Pages 111-121
Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph (Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras)....Pages 122-132
AI Medical School Tutor: Modelling and Implementation (Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke et al.)....Pages 133-145
Front Matter ....Pages 147-147
Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks (Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper)....Pages 149-159
Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR Data (Paolo Fraccaro, Xenophon Evangelopoulos, Blair Edwards)....Pages 160-169
Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce (Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth Wick, Genevieve B. Melton, Gyorgy Simon)....Pages 170-180
Consensus Modeling: A Transfer Learning Approach for Small Health Systems (Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor et al.)....Pages 181-191
An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products’ Discards (Jaber Rad, Calvino Cheng, Jason G. Quinn, Samina Abidi, Robert Liwski, Syed Sibte Raza Abidi)....Pages 192-202
Towards Assigning Diagnosis Codes Using Medication History (Tomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Y. H. Lip, Torben Bjerregaard Larsen, Flemming Skjøth)....Pages 203-213
Blockchain-Based Federated Learning in Medicine (Omar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste)....Pages 214-224
Front Matter ....Pages 225-225
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images (Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, W. Al Drobi, Shahryar Rahnamayan et al.)....Pages 227-237
Difficulty Translation in Histopathology Images (Jerry Wei, Arief Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita et al.)....Pages 238-248
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images (Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych)....Pages 249-259
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image (Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang)....Pages 260-269
Front Matter ....Pages 271-271
A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions (Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar)....Pages 273-286
Multi-view Clustering with mvReliefF for Parkinson’s Disease Patients Subgroup Detection (Anita Valmarska, Dragana Miljkovic, Nada Lavrač, Marko Robnik–àikonja)....Pages 287-298
Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs (Olgierd Unold, Mateusz Gabor, Witold Dyrka)....Pages 299-309
Front Matter ....Pages 311-311
Multi-scale Temporal Memory for Clinical Event Time-Series Prediction (Jeong Min Lee, Milos Hauskrecht)....Pages 313-324
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population (Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen et al.)....Pages 325-335
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning (Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss)....Pages 336-347
Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events (Tianran Zhang, Muhao Chen, Alex A. T. Bui)....Pages 348-358
Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks (Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres)....Pages 359-370
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate (Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen)....Pages 371-381
Medical Time-Series Data Generation Using Generative Adversarial Networks (Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett)....Pages 382-391
Acute Hypertensive Episodes Prediction (Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi et al.)....Pages 392-402
Falls Prediction in Care Homes Using Mobile App Data Collection (Ofir Dvir, Paul Wolfson, Laurence Lovat, Robert Moskovitch)....Pages 403-413
Transitive Sequential Pattern Mining for Discrete Clinical Data (Hossein Estiri, Sebastien Vasey, Shawn N. Murphy)....Pages 414-424
Front Matter ....Pages 425-425
A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients (Nick L. S. Fung, Marten J. van Sinderen, Valerie M. Jones, Hermie J. Hermens)....Pages 427-439
A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning (William Van Woensel, Samina Abidi, Borna Jafarpour, Syed Sibte Raza Abidi)....Pages 440-450
Front Matter ....Pages 451-451
Searching for Pneumothorax in Half a Million Chest X-Ray Images (Antonio Sze-To, Hamid Tizhoosh)....Pages 453-462
A New Local Radon Descriptor for Content-Based Image Search (Morteza Babaie, Hany Kashani, Meghana D. Kumar, H. R. Tizhoosh)....Pages 463-472
Front Matter ....Pages 473-473
Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade Identification (Matthew Casey, Nianjun Zhou)....Pages 475-485
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets (Miriam S. Santos, Pedro H. Abreu, Szymon Wilk, João Santos)....Pages 486-496
Back Matter ....Pages 497-499


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