CSS5-IRD :  ZUCKER, Jean-Daniel / AI and Machine Learning for decision support tools addressing precision medicine and natural hazards issues

AI and Machine Learning for decision support tools addressing precision medicine and natural hazards issues
Explainable Machine Learning and Agent-Based Multiscale Modelling

Competencies of  ZUCKER, Jean-Daniel , Senior scientist, Professor
UMI UMMISCO   International Laboratory for Computer and Mathematical Modelling of Complex Systems

abstractionalgorithmicsartificial intelligenceautomatic learningbioinformaticsBiology (computational)clinical research informaticscomplex systemcomputer sciencedata miningdata processingdecision support tooldengue fever /  DNA microarray /  environmental securityEpidemiology /  explainable AI /  flood (fr: inondation)GAMA platform /  influenza /  machine / deep learningmachine learning (structural)medical informaticsmetadatametagenomicsmicrobiomemodel (agent-based)model (individual-based)model (numerical)model (operational)model (spatially explicit)MODELLINGmodelling (complex system)modelling (epidemics)modelling (mathematical)modelling (multi-scale)modelling (predictive)multi-scale (temporal and functional)MULTIDISCIPLINARYnatural hazardNGS (Next Generation Sequencing) /  nutrigenomics /  nutrition /  obesity /  ontologypopulation evacuationprecision medicinerisk (environmental)risk assessmentSDG 03 (Sust. Devel. Goal - Health and well-being)SDG 04 (Sust. Devel. Goal - Education)SDG 11 (Sust. Devel. Goal - Cities)simulationsimulation (cities)South-East Asiaspatial dynamicssymbolic learningteaching in computer sciencetraining (fr: formation)transcriptomicstropical endemicstsunamiUMI UMMISCO (Math. Comput. Model. Complex Syst.)vaccinationVietnam /

Competencies in black are unique of J.-D. Zucker 's profile in the current state of the database

The current research is entitled: 
       "Predictive modelling towards precise healthcare of chronicle diseases in the South"

- Books from the Amazon.com library
- web-link USTH: University of Science and Technology of Hanoi
- web-link LIRIMA: INRIA International Research Laboratory in Computer Science and Applied Mathematics
- web-link GAMA: modelling and simulation development environment for building spatially explicit agent-based simulations.
Personal home page   Research gate access   Known production set   ORCID access   email contact   Institution   book(s)   Google scholar citations   web-link USTH   web-link LIRIMA   web-link GAMA  



Last update : 2019-12-02

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CSS5 related headings

     Field Location
     illness- disease
     Method or approach
     Natural Item
     Natural Process
     Science or discipline
     SDG (Sust. Dev. Goal) Theme

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