A Multi-task LSTM Framework for Improved Early Sepsis Prediction (English)
- New search for: Tsiligkaridis, Theodoros
- New search for: Sloboda, Jennifer
- New search for: Michalowski, Martin
- Further information on Michalowski, Martin:
- https://orcid.org/https://orcid.org/0000-0003-2060-5878
- New search for: Moskovitch, Robert
- Further information on Moskovitch, Robert:
- https://orcid.org/https://orcid.org/0000-0002-2138-5080
- New search for: Tsiligkaridis, Theodoros
- New search for: Sloboda, Jennifer
In:
Artificial Intelligence in Medicine
: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings
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Chapter: 5
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49-58
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2020
- Article/Chapter (Book) / Electronic Resource
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Title:A Multi-task LSTM Framework for Improved Early Sepsis Prediction
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Additional title:Lect.Notes Computer
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Contributors:Michalowski, Martin ( editor ) / Moskovitch, Robert ( editor ) / Tsiligkaridis, Theodoros ( author ) / Sloboda, Jennifer ( author )
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Conference:International Conference on Artificial Intelligence in Medicine ; 2020 ; Minneapolis, MN, USA
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Published in:Artificial Intelligence in Medicine : 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings ; Chapter: 5 ; 49-58Lecture Notes in Computer Science ; 12299 ; 49-58
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2020-09-26
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Size:10 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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All-Cause Mortality Prediction in T2D PatientsNovitski, Pavel / Cohen, Cheli Melzer / Karasik, Avraham / Shalev, Varda / Hodik, Gabriel / Moskovitch, Robert et al. | 2020
- 2
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Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease PredictionsWanyan, Tingyi / Kang, Martin / Badgeley, Marcus A. / Johnson, Kipp W. / De Freitas, Jessica K. / Chaudhry, Fayzan F. / Vaid, Akhil / Zhao, Shan / Miotto, Riccardo / Nadkarni, Girish N. et al. | 2020
- 3
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Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement LearningSchamberg, Gabriel / Badgeley, Marcus / Brown, Emery N. et al. | 2020
- 4
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SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data GenerationRashidian, Sina / Wang, Fusheng / Moffitt, Richard / Garcia, Victor / Dutt, Anurag / Chang, Wei / Pandya, Vishwam / Hajagos, Janos / Saltz, Mary / Saltz, Joel et al. | 2020
- 5
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A Multi-task LSTM Framework for Improved Early Sepsis PredictionTsiligkaridis, Theodoros / Sloboda, Jennifer et al. | 2020
- 6
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Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit DataBosoni, Pietro / Meccariello, Marco / Calcaterra, Valeria / Larizza, Cristiana / Sacchi, Lucia / Bellazzi, Riccardo et al. | 2020
- 7
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Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPTBompelli, Anusha / Silverman, Greg / Finzel, Raymond / Vasilakes, Jake / Knoll, Benjamin / Pakhomov, Serguei / Zhang, Rui et al. | 2020
- 8
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Ontology-Guided Data Augmentation for Medical Document ClassificationAbdollahi, Mahdi / Gao, Xiaoying / Mei, Yi / Ghosh, Shameek / Li, Jinyan et al. | 2020
- 9
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Divide to Better ClassifyMercadier, Yves / Azé, Jérôme / Bringay, Sandra et al. | 2020
- 10
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Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered OutcomesAl-Garadi, Mohammed Ali / Yang, Yuan-Chi / Lakamana, Sahithi / Lin, Jie / Li, Sabrina / Xie, Angel / Hogg-Bremer, Whitney / Torres, Mylin / Banerjee, Imon / Sarker, Abeed et al. | 2020
- 11
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Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural NetworksBlinov, Pavel / Avetisian, Manvel / Kokh, Vladimir / Umerenkov, Dmitry / Tuzhilin, Alexander et al. | 2020
- 12
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Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge GraphBougiatiotis, Konstantinos / Aisopos, Fotis / Nentidis, Anastasios / Krithara, Anastasia / Paliouras, Georgios et al. | 2020
- 13
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AI Medical School Tutor: Modelling and ImplementationAfzal, Shazia / Dhamecha, Tejas Indulal / Gagnon, Paul / Nayak, Akash / Shah, Ayush / Carlstedt-Duke, Jan / Pathak, Smriti / Mondal, Sneha / Gugnani, Akshay / Zary, Nabil et al. | 2020
- 14
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Lung Cancer Survival Prediction Using Instance-Specific Bayesian NetworksJabbari, Fattaneh / Villaruz, Liza C. / Davis, Mike / Cooper, Gregory F. et al. | 2020
- 15
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Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR DataFraccaro, Paolo / Evangelopoulos, Xenophon / Edwards, Blair et al. | 2020
- 16
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Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are ScarceZhu, Ying / Tourani, Roshan / Sheka, Adam / Wick, Elizabeth / Melton, Genevieve B. / Simon, Gyorgy et al. | 2020
- 17
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Consensus Modeling: A Transfer Learning Approach for Small Health SystemsTourani, Roshan / Murphree, Dennis H. / Zhu, Ying / Sheka, Adam / Melton, Genevieve B. / Kor, Daryl J. / Simon, Gyorgy J. et al. | 2020
- 18
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An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products’ DiscardsRad, Jaber / Cheng, Calvino / Quinn, Jason G. / Abidi, Samina / Liwski, Robert / Abidi, Syed Sibte Raza et al. | 2020
- 19
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Towards Assigning Diagnosis Codes Using Medication HistorySagi, Tomer / Hansen, Emil Riis / Hose, Katja / Lip, Gregory Y. H. / Bjerregaard Larsen, Torben / Skjøth, Flemming et al. | 2020
- 20
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Blockchain-Based Federated Learning in MedicineEl Rifai, Omar / Biotteau, Maelle / de Boissezon, Xavier / Megdiche, Imen / Ravat, Franck / Teste, Olivier et al. | 2020
- 21
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Forming Local Intersections of Projections for Classifying and Searching Histopathology ImagesSriram, Aditya / Kalra, Shivam / Babaie, Morteza / Kieffer, Brady / Drobi, W. Al / Rahnamayan, Shahryar / Kashani, Hany / Tizhoosh, Hamid R. et al. | 2020
- 22
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Difficulty Translation in Histopathology ImagesWei, Jerry / Suriawinata, Arief / Liu, Xiaoying / Ren, Bing / Nasir-Moin, Mustafa / Tomita, Naofumi / Wei, Jason / Hassanpour, Saeed et al. | 2020
- 23
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Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray ImagesViniavskyi, Ostap / Dobko, Mariia / Dobosevych, Oles et al. | 2020
- 24
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A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology ImageKe, Jing / Shen, Yiqing / Guo, Yi / Wright, Jason D. / Jing, Naifeng / Liang, Xiaoyao et al. | 2020
- 25
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A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous InstructionsMahler, Tom / Shalom, Erez / Elovici, Yuval / Shahar, Yuval et al. | 2020
- 26
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Multi-view Clustering with mvReliefF for Parkinson’s Disease Patients Subgroup DetectionValmarska, Anita / Miljkovic, Dragana / Lavrač, Nada / Robnik–Šikonja, Marko et al. | 2020
- 27
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Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence MotifsUnold, Olgierd / Gabor, Mateusz / Dyrka, Witold et al. | 2020
- 28
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Multi-scale Temporal Memory for Clinical Event Time-Series PredictionLee, Jeong Min / Hauskrecht, Milos et al. | 2020
- 29
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HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive PopulationMorassi Sasso, Ariane / Datta, Suparno / Jeitler, Michael / Steckhan, Nico / Kessler, Christian S. / Michalsen, Andreas / Arnrich, Bert / Böttinger, Erwin et al. | 2020
- 30
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Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO PlanningZhou, Helen / Cheng, Cheng / Lipton, Zachary C. / Chen, George H. / Weiss, Jeremy C. et al. | 2020
- 31
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Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical EventsZhang, Tianran / Chen, Muhao / Bui, Alex A. T. et al. | 2020
- 32
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Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory NetworksSvenson, Peter / Haralabopoulos, Giannis / Torres Torres, Mercedes et al. | 2020
- 33
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Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features RelateLi, Linhong / Zuo, Ren / Coston, Amanda / Weiss, Jeremy C. / Chen, George H. et al. | 2020
- 34
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Medical Time-Series Data Generation Using Generative Adversarial NetworksDash, Saloni / Yale, Andrew / Guyon, Isabelle / Bennett, Kristin P. et al. | 2020
- 35
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Acute Hypertensive Episodes PredictionItzhak, Nevo / Nagori, Aditya / Lior, Edo / Schvetz, Maya / Lodha, Rakesh / Sethi, Tavpritesh / Moskovitch, Robert et al. | 2020
- 36
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Falls Prediction in Care Homes Using Mobile App Data CollectionDvir, Ofir / Wolfson, Paul / Lovat, Laurence / Moskovitch, Robert et al. | 2020
- 37
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Transitive Sequential Pattern Mining for Discrete Clinical DataEstiri, Hossein / Vasey, Sebastien / Murphy, Shawn N. et al. | 2020
- 38
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A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for PatientsFung, Nick L. S. / van Sinderen, Marten J. / Jones, Valerie M. / Hermens, Hermie J. et al. | 2020
- 39
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A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal PlanningVan Woensel, William / Abidi, Samina / Jafarpour, Borna / Abidi, Syed Sibte Raza et al. | 2020
- 40
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Searching for Pneumothorax in Half a Million Chest X-Ray ImagesSze-To, Antonio / Tizhoosh, Hamid et al. | 2020
- 41
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A New Local Radon Descriptor for Content-Based Image SearchBabaie, Morteza / Kashani, Hany / Kumar, Meghana D. / Tizhoosh, H. R. et al. | 2020
- 42
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Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade IdentificationCasey, Matthew / Zhou, Nianjun et al. | 2020
- 43
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Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical DatasetsSantos, Miriam S. / Abreu, Pedro H. / Wilk, Szymon / Santos, João et al. | 2020
- 44
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Correction to: HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive PopulationMorassi Sasso, Ariane / Datta, Suparno / Jeitler, Michael / Steckhan, Nico / Kessler, Christian S. / Michalsen, Andreas / Arnrich, Bert / Böttinger, Erwin et al. | 2021