Difference between revisions of "AIME 2020"

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|End date        =2020-08-29
 
|End date        =2020-08-29
 
|Series          =AIME
 
|Series          =AIME
|presence=online
 
 
|Type            =Conference
 
|Type            =Conference
 
|Country          =US
 
|Country          =US
|State=US/MN
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|State           =US/MN
 
|City            =US/MN/Minneapolis
 
|City            =US/MN/Minneapolis
|cityWikidataId=Q36091
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|Year             =2020
|Year=2020
 
 
|Homepage        =http://aime20.aimedicine.info/
 
|Homepage        =http://aime20.aimedicine.info/
 
|Ordinal          =18
 
|Ordinal          =18
 
|Start date      =2020-08-26
 
|Start date      =2020-08-26
 
|Title            =18th International Conference on Artificial Intelligence in Medicine
 
|Title            =18th International Conference on Artificial Intelligence in Medicine
|wikicfpId=98125
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|TibKatId=1743106068|pageCreator=Kerrin.Hogrefe|pageEditor=Wf}}
|DblpConferenceId=aime/2020
 
|wikidataid=Q110711829
 
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|pageCreator=Kerrin.Hogrefe
 
|pageEditor=Tim Holzheim
 
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==Topics==
 
==Topics==
 
* Machine learning and big data analytics,
 
* Machine learning and big data analytics,

Revision as of 20:38, 17 February 2022

AIME 2020
18th International Conference on Artificial Intelligence in Medicine
Ordinal 18
Event in series AIME
Dates 2020-08-26 (iCal) - 2020-08-29
Homepage: http://aime20.aimedicine.info/
Location
Location: US/MN/Minneapolis, US/MN, US
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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

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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.