Title Artificial intelligence in medicine : 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings / Martin Michalowski, Robert Moskovitch (eds.)

Published Cham, Switzerland : Springer, 2020

Click on the following:
Springer Computer Science eBooks
Springer eBooks

Copies

Description 1 online resource Series Lecture notes in computer science ; 12299 Lecture notes in artificial intelligence LNCS sublibrary, SL 7, Artificial intelligence Lecture notes in computer science ; 12299. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. SL 7, Artificial intelligence. Contents Intro -- Preface -- Organization -- Contents -- Deep Learning -- All-Cause Mortality Prediction in T2D Patients -- 1 Introduction -- 2 Related Work -- 2.1 Outcomes Prediction in Diabetes -- 2.2 Temporal Abstraction, TIRPs Discovery and TIRPs Based Classification -- 2.3 Artificial Neural Networks for Temporal Data -- 3 Methods -- 3.1 iTirps and iTirpsMap -- 4 Evaluation and Results -- 4.1 Research Questions -- 4.2 Dataset -- 4.3 Experimental Setup -- 5 Discussion and Conclusions -- References Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions -- 1 Introduction -- 2 Methodology -- 2.1 Data Set -- 2.2 Data Representation for Graphical Model -- 2.3 Embedding the HGM into a Latent Space -- 2.4 Optimizing the HGM Embedding -- 2.5 Disease Prediction -- 3 Results -- 3.1 Embedded Representation -- 3.2 Diagnosis Prediction Performance Comparison -- 4 Discussion -- 5 Conclusion -- A Appendix -- A.1 Skip-Gram Model -- A.2 Heterogeneous Skip-Gram Model -- A.3 TransE -- References Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning -- 1 Introduction -- 2 Methods -- 2.1 Environment Model -- 2.2 Agent Model -- 2.3 Cross-Entropy Training Algorithm -- 2.4 PID Controller -- 3 Results -- 4 Discussion -- References -- SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation -- 1 Introduction -- 2 Related Work -- 3 Data -- 4 Methods -- 4.1 Generative Adversarial Networks Concept -- 4.2 SMOOTH-GAN -- 5 Results -- 5.1 Statistical Analysis -- 5.2 Synthetic Data Prediction Models -- 5.3 Smooth Conditions, Sharp Synthetic Data 5.4 Counterfactual Disease Generation -- 6 Conclusion -- A Appendix -- A.1 Binary Data Distribution -- A.2 Is Training Data Memorized by the GAN? -- References -- A Multi-task LSTM Framework for Improved Early Sepsis Prediction -- 1 Introduction -- 2 Multi-task Learning Framework -- 2.1 Long-Short Term Memory Networks -- 2.2 Multi-task LSTM Model -- 2.3 Performance Metrics -- 3 Experimental Results -- 3.1 Data Description -- 3.2 Experimental Setup -- 3.3 Results -- 4 Discussion -- 5 Conclusion -- References Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Dataset Description and Preprocessing -- 2.2 Model Architecture -- 2.3 Evaluation -- 3 Results -- 4 Conclusion -- References -- Natural Language Processing -- Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Unified Medical Language Systems (UMLS) System -- 2.2 NLP Systems -- 3 Methods -- 3.1 Overview of the Study Summary The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020. The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected from a total of 103 submissions. The AIME 2020 goals were to present and consolidate the international state of the art of AI in biomedical research from the perspectives of theory, methodology, systems, and applications Notes International conference proceedings "However, due to the global COVID-19 pandemic, the decision was madeto forgo an in-person meeting for a virtual one."--Preface Includes author index Online resource; title from PDF title page (SpringerLink, viewed November 12, 2020) Subject Artificial intelligence -- Medical applications -- Congresses Medical informatics -- Congresses Artificial intelligence -- Medical applications Medical informatics Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Michalowski, Martin. Moskovitch, Robert ISBN 9783030591373 3030591379

Other Titles AIME 2020

  Permalink