Difference between revisions of "AIME 2020"

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==Topics==
 
==Topics==
==Submissions==
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* Machine learning and big data analytics,
==Important Dates==
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* Knowledge discovery and data mining,
 
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* Biomedical ontologies and terminologies,
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* Biomedical knowledge acquisition and representation,
* Co-Organizers
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* Knowledge-based reasoning in biomedicine,
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* Natural language processing,
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* Biomedical imaging processing,
 
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* Document classification and information retrieval,
* PC Co-Chairs
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* Bayesian networks, fuzzy logic and reasoning under uncertainty,
** [[has program chair::some person]], some affiliation, country
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* Temporal and spatial representation and reasoning,
 
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* Healthcare processes and workflow management,
* Workshop Chair
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* Computerized clinical practice guidelines (CPGs) and protocols,
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* Signal processing,
 
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* Visual analytics in biomedicine,
* Panel Chair
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* Clinical decision support systems (CDSSs),
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* Patient engagement support (personal healthcare record),
 
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* Explainable AI (XAI) for health,
* Seminars Chair
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* Precision medicine and health,
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* AI solutions for ambient assisted living, telemedicine, and e-health.
 
 
* Demonstration Co-Chairs
 
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Revision as of 08:14, 17 April 2020

AIME 2020
2020 International Conference on Artificial Intelligence in Medicine
Event in series AIME
Dates 2020/08/26 (iCal) - 2020/08/29
Homepage: http://aime20.aimedicine.info/
Location
Location: Minneapolis, USA
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Important dates
Workshops: 2020/04/17
Tutorials: 2020/04/17
Abstracts: 2020/04/17
Papers: 2020/05/01
Submissions: 2020/05/01
Notification: 2020/06/05
Camera ready due: 2020/06/19
Committees
PC chairs: Nitesh Chawla
Seminars Chair: Fei Wang
Demo chairs: Anthony C. Chang
Keynote speaker: Edward H. Shortliffe, Vimla. L Patel
Table of Contents

Contents


Topics

  • Machine learning and big data analytics,
  • Knowledge discovery and data mining,
  • Biomedical ontologies and terminologies,
  • Biomedical knowledge acquisition and representation,
  • Knowledge-based reasoning in biomedicine,
  • Natural language processing,
  • Biomedical imaging processing,
  • Document classification and information retrieval,
  • Bayesian networks, fuzzy logic and reasoning under uncertainty,
  • Temporal and spatial representation and reasoning,
  • Healthcare processes and workflow management,
  • Computerized clinical practice guidelines (CPGs) and protocols,
  • Signal processing,
  • Visual analytics in biomedicine,
  • Clinical decision support systems (CDSSs),
  • Patient engagement support (personal healthcare record),
  • Explainable AI (XAI) for health,
  • Precision medicine and health,
  • AI solutions for ambient assisted living, telemedicine, and e-health.