Le blog et site personnel de Jean-Baptiste Lamy (Jiba).
Mon roman "Sombre comme l'Aurore - La légende de Tienn Halidenn" est disponible aux Éditions du 38.
Mon livre sur Python et les ontologies est disponible en français (Python et les ontologies) et en anglais (Ontologies with Python).
Bonne lecture !
Nouvel article "Impact on clinical guideline adherence of Orient-COVID, a clinical decision support system based on dynamic decision trees for COVID19 management"
J'ai publié un nouvel article :
[j79] Jammal M, Saab A, Abi Khalil C, Mourad C, Tsopra R, Saikali M, Lamy JB. Impact on clinical guideline adherence of Orient-COVID, a clinical decision support system based on dynamic decision trees for COVID19 management: a randomized simulation trial with medical trainees. International Journal of Medical Informatics 2025;195:105772
Nouvel article pré-publié "Simulation trials for evaluating clinical decision support systems"
J'ai pré-publié un nouvel article :
[p7] Lamy JB, Falcoff H, Dubois S, Meneton P, Tsopra R, Saab A. Simulation trials for evaluating clinical decision support systems: lessons learned. http://dx.doi.org/10.13140/RG.2.2.11862.97606 Preprint 2024
Nouvel article "Adaptive questionnaires for facilitating patient data entry in clinical decision support systems"
J'ai publié un nouvel article :
[j78] Lamy JB, Mouazer A, Léguillon R, Lelong R, Darmoni S, Sedki K, Dubois S, Falcoff H. Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2. BMC medical informatics and decision making 2024;24:326
FullPy 0.2 est disponible !
FullPy est un module Python pour développer des applications web client-server sémantiques, entièrement en Python.
FullPy peut être téléchargé sur PyPI (Python Package Index) : https://pypi.python.org/pypi/fullpy
Owlready2 0.47 est disponible !
Owlready2 est un module Python pour la programmation orientée ontologie. Il permet de charger des ontologies OWL 2.0 et de les manipuler de manière transparente en Python.
Voici les modifications :
Support binary data: Python bytes are now mapped to XML base64Binary.
Bugfixes:
Fix OPTIONAL blocks in SPARQL queries that share variable outside the OPTIONAL block
Fix prop1[prop2 in OPTIONAL blocks in SPARQL queries
Fix individuals belonging to several classes when one of these classes has a OneOf construct including that individual
Fix descendants when using subclasses of ThingClass (as PyMedTermino2 does)
Fix and update pymedtermino2
Fix SPARQL queries with BIND and UNION
La nouvelle version peut être téléchargé sur PyPI (Python Package Index) : https://pypi.python.org/pypi/Owlready2
Nouvel article pré-publié "A randomized simulation trial evaluating ABiMed, a clinical decision support system for medication reviews and polypharmacy management"
J'ai pré-publié un nouvel article :
[p6] Mouazer A, Dubois S, Léguillon R, Boudegzdame N, Levrard T, Le Bars Y, Simon C, Séroussi B, Grosjean J, Lelong R, Letord C, Darmoni S, Sedki K, Meneton P, Tsopra R, Falcoff H, Lamy JB. A randomized simulation trial evaluating ABiMed, a clinical decision support system for medication reviews and polypharmacy management. Arxiv preprint arXiv:2409.01903 2024
Nouvel article "Original Strategy for Verbatim Collecting Knowledge from Mostly-Illiterate and Secretive Experts"
J'ai publié un nouvel article :
[j76] Kouame A, Lamy JB, Ehoule K. Original Strategy for Verbatim Collecting Knowledge from Mostly-Illiterate and Secretive Experts : West Africa Traditional Medicine’s Case. International Journal of Advanced Computer Science and Applications (IJACSA) 2024;15(7)
Nouvel article pré-publié "Impact on clinical guideline adherence of Orient-COVID, a CDSS based on dynamic medical decision trees for COVID19 management"
J'ai pré-publié un nouvel article :
[p5] Jammal M, Saab A, Abi Khalil C, Mourad C, Tsopra R, Saikali M, Lamy JB. Impact on clinical guideline adherence of Orient-COVID, a CDSS based on dynamic medical decision trees for COVID19 management: a randomized simulation trial. Arxiv preprint arXiv:2407.11205 2024