Localisation et dimensionnement des unités mobiles de soins dans les déserts médicaux // Location and sizing of mobile care units in medical deserts
ABG-128479
ADUM-60688 |
Thesis topic | |
2025-02-12 |
Université de Picardie - Jules Verne
Amiens - France
Localisation et dimensionnement des unités mobiles de soins dans les déserts médicaux // Location and sizing of mobile care units in medical deserts
- Computer science
Recherche Opérationnelle, Machine Learning, Algorithmes Robustes, Logistique et santé
Operation Research, Machine Learning, Robust algorithms, logistic and health
Operation Research, Machine Learning, Robust algorithms, logistic and health
Topic description
Ce projet de recherche vise à développer un outil d'intelligence artificiel (IA) qui puisse proposer des scénarios-solutions pour le problème de localisation et de dimensionnement des unités mobiles de soins médicaux pour améliorer l'accès aux soins dans les déserts médicaux. L'objectif est de maximiser la couverture du territoire en tenant compte des besoins des patients, de la disponibilité des soignants, ainsi que de l'incertitude de la demande en services de santé. L'outil proposera une l'IA acceptable, dans la mesure où les solutions proposées favoriseront les besoins de la population
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This research project aims to develop an artificial intelligence (AI) tool that can propose solution scenarios for the problem of locating and sizing mobile medical care units to improve access to care in medical deserts. The objective is to maximize the coverage of the territory by taking into account the needs of patients, the availability of caregivers, as well as the uncertainty of the demand for health services. The tool will propose an acceptable AI, to the extent that the proposed solutions will promote the needs of the population.
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Début de la thèse : 01/10/2025
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This research project aims to develop an artificial intelligence (AI) tool that can propose solution scenarios for the problem of locating and sizing mobile medical care units to improve access to care in medical deserts. The objective is to maximize the coverage of the territory by taking into account the needs of patients, the availability of caregivers, as well as the uncertainty of the demand for health services. The tool will propose an acceptable AI, to the extent that the proposed solutions will promote the needs of the population.
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Début de la thèse : 01/10/2025
Funding category
Funding further details
Financement d'une collectivité locale ou territoriale
Presentation of host institution and host laboratory
Université de Picardie - Jules Verne
Institution awarding doctoral degree
Université de Picardie - Jules Verne
Graduate school
585 Sciences, Technologie, Santé
Candidate's profile
La/le candidat(e) devra maitriser les techniques d'apprentissage automatique, ainsi que celles de la recherche opérationnelle (programmation linéaire, algorithme robuste). Elle ou il montrera des capacités de développement dans des langages informatiques comme le C++.
The candidate will have to master machine learning techniques, as well as those of operational research (linear programming, robust algorithms). He or she will demonstrate development skills in computer languages such as C++.
The candidate will have to master machine learning techniques, as well as those of operational research (linear programming, robust algorithms). He or she will demonstrate development skills in computer languages such as C++.
2025-05-01
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