Détail du document
Identifiant
oai:HAL:hal-03342265v1
Sujet
Veterinarian Autopsy Bayesian Network Decision-support Tool Cattle Diseases [SDV]Life Sciences [q-bio] [INFO.INFO-AI]Computer Science [cs...Auteur
Sicard, Vianney Assié, Sébastien Dorso, Laetitia Chocteau, Florian Picault, SébastienLangue
enEditeur
HAL CCSD;SCITEPRESS - Science and Technology Publications
Catégorie
technologies : sciences informatique
Année
2021
Date de référencement
06/12/2023
Mots clés
necropsy process tool diagnosis veterinary ivan supportRésumé
International audience; Veterinary autopsy requires a high level of expertise and skills that not all veterinarians necessarily master, especially in the context of the desertification of rural areas.
The development of support systems is a challenging issue, since such a tool, to be considered relevant and accepted by practitioners in their diagnosis process, must avoid any black box effect.
The diagnosis support system we introduce here, IVAN (“Innovative Veterinary Assisted Necropsy”), aims to engage the user in an explicit, understandable, validable and reviewable process, able to cope with the specific issues of cattle necropsy.
Besides, it provides uncertainty management to deal with approximate lesion descriptions.
IVAN relies on a Bayesian network to infer relevant proposals at each step of the diagnostic process.
IVAN was trained on a set of real autopsy cases from autopsy reports, and its performance was assessed using another set of reports.
In addition, the tool had to provide results in short r esponse time and be able to run the application on mobile device and web server.
In addition to demonstrating the feasibility of the approach, IVAN is a first step towards other support systems in other species and in broader contexts than autopsy.
Sicard, Vianney,Assié, Sébastien,Dorso, Laetitia,Chocteau, Florian,Picault, Sébastien, 2021, A Diagnosis Support System for Veterinary Necropsy based on Bayesian Networks, HAL CCSD;SCITEPRESS - Science and Technology Publications
Configurable Safety Tuning of Language Models with Synthetic Preference Data
data preference cst dpo configurable language safety
Affective flexibility as a developmental building block of cognitive reappraisal: An fMRI study
cognitive success affective flexibility
