Nos publications

@article{dauphinot2024identification,

title = {Identification of profiles associated with conversions between the Alzheimer’s disease stages, using a machine learning approach},

author = {Virginie Dauphinot and Marie Laurent and Martin Prodel and Alexandre Civet and Alexandre Vainchtock and Claire Moutet and Pierre Krolak-Salmon and Antoine Garnier-Crussard},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Alzheimer's Research & Therapy},

volume = {16},

number = {1},

pages = {166},

publisher = {BioMed Central London},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{laurent2use,

title = {Use of a Clustering Algorithm for Treatment Sequences (TAK®) as a Pre-processing Step to Explanatory and Predictive Models},

author = {Marie Laurent and Fanny Raguideau and Martin Prodel and Nada Assi and Eléonore Herquelot and Benjamin Grenier},

year  = {2023},

date = {2023-08-23},

urldate = {2023-08-23},

journal = {Group},

volume = {2},

number = {1.6},

pages = {1–8},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{laurent20221etude,

title = {Etude MEMORA-Learning: découverte de profils de patients à risque de conversion précoce vers le stade sévère de la maladie d'Alzheimer via des arbres de décision de survie},

author = {Marie Laurent and Martin Prodel and Alexandre Vainchtock and Alexandre Civet and A Chevrette and B Rousselle and Claire Moutet and Virginie Dauphinot and Pierre Krolak-Salmon},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Revue d'Épidémiologie et de Santé Publique},

volume = {70},

pages = {S256},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{prodel2022costs,

title = {Costs and mortality associated with HIV: a machine learning analysis of the French national health insurance database},

author = {Martin Prodel and Laurent Finkielsztejn and Laëtitia Roustand and Gaëlle Nachbaur and Lucie Leotoing and Marie Genreau and Fabrice Bonnet and Jade Ghosn},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Public Health Research},

volume = {11},

number = {2},

pages = {jphr–2021},

publisher = {SAGE Publications Sage UK: London, England},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{el2022diagnosing,

title = {Diagnosing hemophagocytic lymphohistiocytosis with machine learning: a proof of concept},

author = {Thomas El Jammal and Arthur Guerber and Martin Prodel and Maxime Fauter and Pascal Sève and Yvan Jamilloux},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Clinical Medicine},

volume = {11},

number = {20},

pages = {6219},

publisher = {MDPI},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{tredan2022innovative,

title = {Innovative approach for a typology of treatment sequences in early stage HER2 positive breast cancer patients treated with trastuzumab in the French national hospital database},

author = {Olivier Tredan and Marie Laurent and Melina Gilberg and Rim Ghorbal and Alexandre Vainchtock and Joannie Lortet-Tieulent and Martin Prodel and Julien Dupin},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Cancer Informatics},

volume = {21},

pages = {11769351221135134},

publisher = {SAGE Publications Sage UK: London, England},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{chouaid2022machine,

title = {Machine learning–based analysis of treatment sequences typology in advanced non–small-cell lung cancer long-term survivors treated with nivolumab},

author = {Christos Chouaïd and Valentine Grumberg and Alexandre Batisse and Romain Corre and Matteo Giaj Levra and Anne-Françoise Gaudin and Martin Prodel and Joannie Lortet-Tieulent and Jean-Baptiste Assié and Francois-Emery Cotté},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {JCO Clinical Cancer Informatics},

volume = {6},

pages = {e2100108},

publisher = {Wolters Kluwer Health},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{bylicki2021factors,

title = {Factors associated with aggressiveness of end-of-life care for lung cancer patients and associated costs of care},

author = {Olivier Bylicki and Fréderic Rivière and Charlène Tournier and Florence Canoui-Poitrine and Fréderic Grassin and Jacques Margery and Martin Prodel and Alexandre Vainchtock and Jean-Baptiste Assié and Christos Chouaïd},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Clinical Lung Cancer},

volume = {22},

number = {3},

pages = {e320–e328},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{laurent2020atlas,

title = {ATLAS–Nouvelle méthode d’analyse des lignes de traitements à partir du système national des données de santé: exemple de l’étude MYLORD, sur les patients français atteints du myélome multiple},

author = {Marie Laurent and Caroline Guilmet and Matthieu Javelot and G Guigand and Marie Piérres and Vincent Augusto and Ludovic Lamarsalle and Fanny Raguideau and Martin Prodel},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Revue d'Épidémiologie et de Santé Publique},

volume = {68},

pages = {S74–S75},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{laurent2020pcn277,

title = {Analysis of Treatment Sequences in HER2-Positive EARLY Breast Cancer Patients: A Retrospective Study from the French National Hospital Database Using a Machine Learning Algorithm, the TAK},

author = {Marie Laurent and Martin Prodel and Alexandre Vainchtock and Mélina Gilberg and Rim Ghorbal and V Machuron and B Tehard and Julien Dupin},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Value in Health},

volume = {23},

pages = {S471–S472},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{prodel2020pcn273,

title = {Meta-TAK, a Scalable Double-Clustering Method for Treatment Sequences Visualization: Case Study in Breast Cancer Using Claim Data},

author = {Martin Prodel and Marie Laurent and Hugo De Oliveira and Ludovic Lamarsalle and Alexandre Vainchtock},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Value in Health},

volume = {23},

pages = {S471},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{laurent2019analyses,

title = {Analyses des séquences de traitements à partir du SNIIRAM: cas d’étude des incidents 2013 du VIH},

author = {Marie Laurent and Lucie Leotoing and Martin Prodel},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Revue d'Épidémiologie et de Santé Publique},

volume = {67},

pages = {S177–S178},

publisher = {Elsevier},

keywords = {biostatistics, machine learning},

pubstate = {published},

tppubtype = {article}

}

@article{prodel2019identification,

title = {Identification des lignes de traitement en cancérologie à partir des données du Système national des données de santé: une méthode d’intelligence artificielle basée sur l’alignement de séquences},

author = {Martin Prodel and Ludovic Lamarsalle and Fanny Raguideau},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Revue d'Épidémiologie et de Santé Publique},

volume = {67},

pages = {S92–S93},

publisher = {Elsevier},

keywords = {machine learning},

pubstate = {published},

tppubtype = {article}

}