Demonstrations and Posters
Demonstrations |
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Manan Shukla, Jianjing Lin and Oshani Seneviratne: Blockchain and IoT Enhanced Clinical Workflow Demo video: https://www.youtube.com/watch?v=VotFGWCX2x0
More information: https://idea.rpi.edu/research/projects/blockiot
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Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi and Paolo Giudici: The PERISCOPE Data Atlas: a demonstration of release v1.2 Demo video: https://vimeo.com/640554415
More information: https://atlas.periscopeproject.eu
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Ľubomír Antoni, Erik Bruoth, Peter Bugata, Peter Jr Bugata, Dávid Gajdoš, Šimon Horvát, Dávid Hudák, Vladimíra Kmečová, Richard Staňa, Monika Staňková, Alexander Szabari and Gabriela Vozáriková: Cordelia – an application for automatic ECG diagnostics Demo video: https://www.youtube.com/watch?v=2s8qDlNUxkM
More information: https://cordelia.vsl.sk:43997/
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William Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen and Syed Sibte Raza Abidi: Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input using GLEAN Demo video: https://youtu.be/U2AFwk57bww
More information: https://github.com/william-vw/glean
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Alexandra Kogan, Mor Peleg, Samson Tu, Raviv Allon, Natanel Khaitov and Irit Hochberg: A Goal-oriented Methodology for Treatment of Patients with Multimorbidity - Goal Comorbidities (GoCom) Proof-of-concept Demonstration Demo video: https://www.youtube.com/watch?v=Jwx7ZfYmfZ8
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Evan Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia and Lalana Kagal: Development of AI-enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes Demo video: https://www.youtube.com/watch?v=fFv-sPmd_G4
More information: https://punya.mit.edu/ , http://punya.appinventor.mit.edu/
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Jaber Rad, Jason Quinn, Calvino Cheng, Samina Abidi, Robert Liwski and Syed Sibte Raza Abidi: Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service Demo video: https://youtu.be/1iAy6H2KPjA , https://youtu.be/G1A5exRMJP0
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Posters |
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| Maria Bampa, Tobias Fasth, Sindri Magnusson and Panagiotis Papapetrou: EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning | |
| Michael Skinner, Lakshmi Raman, Sriraam Natarajan and Priscilla Yu: Medical Prediction Using Predicate Data: an Example of Anytime Querying | |
| Tomer Hermelin, Pierre Singer and Nadav Rappoprt: Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period | |
| Mei Ling Fang, Devendra Dhami and Kristian Kersting: DP-CTGAN: Differentially Private Medical Data Generation using CTGANs | |
| Ruolin Wang, Jingming Liu, Zheng Chen, Minghui Gong, Chunping Li and Wei Guo: The Transition Law of Sepsis Patients' Illness States Based on Complex Network | |
| David Riaño, José-Ramon Alonso, Spela Pecnik and Aida Kamisalic: An Ontology to Support Automatic Drug Dose Titration | |
| Miguel Matey-Sanz, Alberto Gonzalez-Perez, Sven Casteleyn and Carlos Granell: Instrumented Timed Up and Go test using inertial sensors from consumer wearable devices | |
| Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza and Jose A. Lozano: Learning a battery of COVID-19 mortality prediction models by multi-objective optimization | |
| Noor Jamaludeen, Vishnu Unnikrishnan, Andre Brechmann and Myra Spiliopoulou: Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data | |
| Jeong Min Lee and Milos Hauskrecht: Learning to Adapt Clinical Sequences with Residual Mixture of Experts | |
| Malgorzata Kretowska: Oblique dipolar tree for survival data with time-varying covariates | |
| Gerta Salillari and Nadav Rappoprt: Comparison of classification with reject option approaches on MIMIC-IV dataset | |
