Libellé préféré : Intelligence Artificielle en Médecine;
Acronyme CISMeF : AIME;
Définition EFMI : The AIME conference invites all interested researchers to submit original contributions
regarding the development of theory, methods, systems, and applications of AI in biomedicine,
including the application of AI approaches in biomedical informatics, healthcare organization
and molecular medicine. The scope of the conference includes the following areas:
Big data analytics, Machine learning, knowledge discovery and data mining, Explainable
AI Biomedical ontologies and terminologies, Biomedical knowledge acquisition and management,
Knowledge-based reasoning in biomedicine, Natural language 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, Biomedical
imaging and signal processing, Visual analytics in biomedicine, Clinical decision
support systems (CDSSs), Patient engagement support (personal healthcare record),
AI solutions for ambient assisted living, telemedicine and e-health.;
Identifiant d'origine : 300114;
The AIME conference invites all interested researchers to submit original contributions
regarding the development of theory, methods, systems, and applications of AI in biomedicine,
including the application of AI approaches in biomedical informatics, healthcare organization
and molecular medicine. The scope of the conference includes the following areas:
Big data analytics, Machine learning, knowledge discovery and data mining, Explainable
AI Biomedical ontologies and terminologies, Biomedical knowledge acquisition and management,
Knowledge-based reasoning in biomedicine, Natural language 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, Biomedical
imaging and signal processing, Visual analytics in biomedicine, Clinical decision
support systems (CDSSs), Patient engagement support (personal healthcare record),
AI solutions for ambient assisted living, telemedicine and e-health.
N1-VALIDE
Big Data in Health
https://www.cismef.org/cismef/wp/wp-content/uploads/2022/11/big-data-in-health-2-1.pdf
Cours présenté par Arriel Benis & Stefan Darmoni: From data to big data and artificial
intelligence; Data from a business perspective; Big data, definitions; Big data in
medicine
2022
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Université de Rouen, UFR Santé
France
anglais
cours
Mégadonnées
mégadonnées
Intelligence Artificielle en Médecine
intelligence artificielle
santé
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