KDH 2020: 5th International Workshop on Knowledge Discovery in Healthcare Data European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, Spain, June 8-9, 2020 |
Submission link | https://easychair.org/conferences/?conf=kdh2020 |
Abstract registration deadline | March 13, 2020 |
Submission deadline | March 13, 2020 |
The Knowledge Discovery in Healthcare Data (KDH) workshop series was established in 2016 to present AI research efforts to solve pressing problems in healthcare. The workshop series aims to bring together clinical and AI researchers to foster collaboration. This year, the workshop will be held in conjunction with ECAI 2020, in Santiago de Compostela, Spain.
The focus of the workshop is on learning healthcare systems. The notion of the learning healthcare system has been put forward to denote the translation of routinely collected data into knowledge that drives the continual improvement of medical care. This notion has been described in many forms, but each follows a similar cycle of assembling, analyzing and interpreting data from multiple sources (clinical records, guidelines, patient-provided data, sensor data, omics data), followed by feeding the acquired knowledge back into clinical practice. This framework aims to provide personalised recommendations and decision support tools to aid both patients and care providers, to improve outcomes and personalise care. Learning healthcare systems also help to extend the range of actions possible in response to patient monitoring data, for example, alerting patients or automatically adjusting insulin doses when blood glucose levels are predicted to go out of range.
A highlight of KDH 2020 will be the second Blood Glucose Level Prediction (BGLP) Challenge. The first BGLP Challenge was held as part of KDH 2018 at IJCAI-ECAI in Stockholm, Sweden. Blood glucose level prediction is a challenging task for AI researchers with the potential to improve the health and wellbeing of people with diabetes. In the BGLP Challenge, researchers will come together to compare the efficacy of different prediction approaches on a standard set of real patient data.
Topics
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Knowledge discovery and data analytics
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Data extraction, organization and assembly
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Personalisation and decision support
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Blood glucose level prediction
A full list of topics and submission guidelines can be found at: https://sites.google.com/view/kdh-2020
Submission Guidelines
Submissions can be made as:
- Long papers (7 pages + 1 page references): Long papers should present original research work and be no longer than eight pages in total: seven pages for the main text of the paper (including all figures but excluding references), and one additional page for references. Papers reporting on original research in blood glucose level prediction, but not BGLP Challenge system description papers, should be formatted as long papers and submitted by the deadline for all workshop papers.
- Short papers (4 pages + 1 page references): Short papers may report on works in progress, descriptions of available datasets, as well as data collection efforts. Position papers regarding potential research challenges are also welcomed. Short paper submissions should be no longer than five pages in total: four pages for the main text of the paper (including all figures but excluding references), and one additional page for references. BGLP Challenge system description papers should be formatted as short papers; however, these papers have their own submission deadline.
Committees
Program Committee
- Isabelle Bichindaritz, State University of New York at Oswego (USA)
- Vivek V. Datla, Philips Research North America (USA)
- Spiros Denaxas , University College London (UK)
- Franck Dernoncourt, Massachusetts Institute of Technology (USA)
- Fernando Koch, IBM Global Services (USA)
- Stewart Massie, The Robert Gordon University (UK)
- Stefania Montani, University of Piemonte Oriental (Italy)
- Tristan Naumann, Microsoft (USA)
- Thomas Searle, Kings College London (UK)
- Shawn Stapleton, Philips Research North America (USA)
- Lukas Stappen, University of Augsburg (Germany)
- Anjana Wijekoon, The Robert Gordon University (UK)
Organizing committee
- Kerstin Bach, Norwegian University of Science and Technology (Norway)
- Cindy Marling, Ohio University (USA)
- Nirmalie Wiratunga, The Robert Gordon University (UK)
Venue
The conference will be held as part of the ECAI 2020 workshop programme in Santiago de Compostela (Spain).
Contact
All questions about submissions should be emailed to kdh2020(a)easychair.org