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\n \n\n \n \n \n \n \n \n Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system .\n \n \n \n \n\n\n \n Allassonnière, S.; Besson, R.; and Le Pennec, E.\n\n\n \n\n\n\n 2024.\n \n\n\n\n
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@Patent{allassonniere21,\n  author =\t {Allassonnière, S. and Besson, R. and Le Pennec, E.},\n  title =\t {Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system },\n  year =\t 2024,\n  number =\t {US11881309B2},\n  keywords =\t {Patent, TOP5, Health, ThemeHealth, RL, ThemeRL},\n  subject =\t {Health, RL},\n  pubtype =\t {Patent},\n  reprint =\t {Patent/2021-ABLP.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2024-ABLP.pdf},\n  reprintok =\t 1,\n  lang =\t {English}\n}\n\n
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@inproceedings{gaudfernau23b,\n  author          = {Gaudfernau, F. Allassonière, S. and Le Pennec, E.},\n  booktitle       = {GRETSI},\n  title           = {Un algorithme multiéchelle pour déformer les objets de façon réaliste - application à la modélisation de la croissance du cerveau foetal},\n  year            = {2023},\n  keywords =\t {Actes, Health, ThemeHealth},\n  pubtype =\t {Actes de conférence nationale},\n  subject =\t {Health},\n    url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2023-GRETSI-GALP.pdf},\n  lang = {fr}\n}\n\n
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\n \n\n \n \n \n \n \n \n Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination.\n \n \n \n \n\n\n \n Stirnemann, J.; Besson, R.; Spaggiari, E.; Rojo, S.; Loge, F.; Peyro-Saint-Paul, H.; Allassonniere, S.; Le Pennec, E.; Hutchinson, C.; Sebire, N.; and Ville, Y.\n\n\n \n\n\n\n Ultrasound in Obstetrics & Gynecology, 3(62): 353-360. 2023.\n \n\n\n\n
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@article{stirnemann23,\n  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E.  and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, S. and Le Pennec, E. and Hutchinson, C. and Sebire, N.J. and Ville, Y.},\n  journal         = {Ultrasound in Obstetrics \\& Gynecology},\n  number          = {62},\n  title           = {Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination},\n  volume          = {3},\n  year            = {2023},\n  pages           = {353-360},\n  keywords =\t {Article, Health, ThemeHealth},\n  pubtype =\t {Article},\n  subject =\t {Health},\n  doi = {10.1002/uog.26242},\n  lang = {english},\n  url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2023-UOG-SBSBRLPPALPHSV.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n A multiscale algorithm for computing realistic image transformations - Application to the modelling of fetal brain growth.\n \n \n \n \n\n\n \n Gaudfernau, F.; Allassonnière, S.; and Le Pennec, E.\n\n\n \n\n\n\n In SPIE Medical Imaging, 2023. \n \n\n\n\n
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@inproceedings{gaudfernau23,\n  author          = {Gaudfernau, F. and Allassonnière, S. and Le Pennec, E.},\n  booktitle       = {SPIE Medical Imaging},\n  title           = {A multiscale algorithm for computing realistic image transformations - Application to the modelling of fetal brain growth},\n  year            = {2023},\n  keywords =\t {Proceedings, Health, ThemeHealth},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health},\n  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2023-SPIE-GALP.pdf},\n  lang = {english}\n}\n\n%%% 2022\n\n
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\n \n\n \n \n \n \n \n \n Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model Framework.\n \n \n \n \n\n\n \n Gaudfernau, F.; Blondiaux, E.; Allassonnière, S.; and Le Pennec, E.\n\n\n \n\n\n\n arXiv. 2022.\n \n\n\n\n
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@article{gaudfernau22,\n  author          = {Gaudfernau, F. and Blondiaux, E. and Allassonnière, S. and Le Pennec, E.},\n  journal         = {arXiv},\n  title           = {Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model Framework},\n  year            = {2022},\n  lang =\t {English},\n  pubtype =\t {Preprint},\n  keywords =\t {Preprint, Health, ThemeHealth},\n  pubtype =\t {Preprint},\n  subject =\t {Health},\n  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2022-HAL-GBALP.pdf},\n  arXiv = {2206.06841}\n}\n\n% @article {stirnemann21m,\n% \tauthor = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Bourgon, N. and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, S. and Le Pennec, E. and Ville, Y.},\n% \ttitle = {Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination},\n% \telocation-id = {2021.05.25.21257630},\n% \tyear = {2021},\n% \tdoi = {10.1101/2021.05.25.21257630},\n% \tpublisher = {Cold Spring Harbor Laboratory Press},\n% \tabstract = {Objective To describe a real-time decision support system (DSS), named SONIO, to assist ultrasound-based prenatal diagnosis and to assess its performance using a clinical database of precisely phenotyped postmortem examinations.Population and Methods This DSS is knowledge-based and comprises a dedicated thesaurus of 294 syndromes and diseases. It operates by suggesting, at each step of the ultrasound examination, the best next symptom to check for in order to optimize the diagnostic pathway to the smallest number of possible diagnoses. This assistant was tested on a single-center database of 251 cases of postmortem phenotypes with a definite diagnosis. Adjudication of discordant diagnoses was made by a panel of external experts. The primary outcome was a target concordance rate \\&gt;90\\% between the postmortem diagnosis and the top-7 diagnoses given by SONIO when providing the full phenotype as input. Secondary outcomes included concordance for the top-5 and top-3 diagnoses; We also assessed a {\\textquotedblleft}1-by-1{\\textquotedblright} model, providing only the anomalies sequentially prompted by the system, mimicking the use of the software in a real-life clinical setting.Results The validation database covered 96 of the 294 (32.65\\%) syndromes and 79\\% of their overall prevalence in the SONIO thesaurus. The adjudicators discarded 42/251 cases as they were not amenable to ultrasound based diagnosis. SONIO failed to make the diagnosis on 7/209 cases. On average, each case displayed 6 anomalies, 3 of which were considered atypical for the condition. Using the {\\textquoteleft}full-phenotype{\\textquoteright} model, the success rate of the top-7 output of Sonio was 96.7\\% (202/209). This was 91.9\\% and 87.1\\% for the top-5 and top-3 outputs respectively. Using the {\\textquotedblleft}1-by-1{\\textquotedblright} model, the correct diagnosis was within the top-7, top-5 and top-3 of SONIO{\\textquoteright}s output in 72.4\\%, 69.3\\% and 63.1\\%.Conclusion Sonio is a robust DSS with a success-rate \\&gt;95\\% for top-7 ranking diagnoses when the full phenotype is provided, using a large database of noisy real data. The success rate over 70\\% using the {\\textquoteleft}1-by-1{\\textquoteright} model was understandably lower, given that SONIO{\\textquoteright}s sequential queries may not systematically cover the full phenotype.Competing Interest StatementJS, RB, ES, SA, ELP and YV are co-founders of the SONIO company. SR, FLM and HPSP are employed by the SONIO company.Clinical TrialThis was a retrospective observational study from clinical recordsFunding StatementNo fundingAuthor DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:This study was approved by the local ethics committee of the Necker hospital (IRB registration : CERPAHP.5 $\\#$00011928)All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesThe validation data will be made partly available, upon request. The algorithms and thesaurus of the SONIO DSS are the property of the SONIO company},\n% \t% URL = {https://www.medrxiv.org/content/early/2021/05/25/2021.05.25.21257630},\n%   % eprint = {https://www.medrxiv.org/content/early/2021/05/25/2021.05.25.21257630.full.pdf},\n%   url_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2021-medRxiv-SBSBRLPSPALPV.pdf},\n% \tjournal = {medRxiv},\n%   lang =\t {English},\n%   pubtype =\t {Preprint},\n%   keywords =\t {Preprint, Health, ThemeHealth, RL, ThemeRL},\n%   pubtype =\t {Preprint},\n%   subject =\t {Health, RL},\n%   hal =\t\t {hal-03620367v1}\n% }\n\n
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\n \n\n \n \n \n \n \n \n Clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination.\n \n \n \n \n\n\n \n Stirnemann, J.; Besson, R.; Spaggiari, E.; Rojo, S.; Loge, F.; Peyro-Saint-Paul, H.; Allassonniere, S.; Le Pennec, E.; Hutchinson, C.; Sebire, N.; and Ville, Y.\n\n\n \n\n\n\n In volume 60, pages 14-15, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Clinical pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{stirnemann22,\n  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E.  and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, S. and Le Pennec, E. and Hutchinson, C. and Sebire, N.J. and Ville, Y.},\ntitle = {Clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination},\nboktitle = {Ultrasound in Obstetrics \\& Gynecology},\nvolume = {60},\npages = {14-15},\nkeywords =\t {Proceedings, Health, ThemeHealth},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health},\ndoi = {10.1002/uog.26242},\nurl_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2022-UOG-SBSBRLPPALPHSV.pdf},\nyear = {2022},\n  lang =\t {English}\n}\n\n%%% 2021\n\n
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\n \n\n \n \n \n \n \n \n Intelligent Questionnaires Using Approximate Dynamic Programming.\n \n \n \n \n\n\n \n Logé, F.; Le Pennec, E.; and Amadou-Boubacar, H.\n\n\n \n\n\n\n i-com, 19(3): 227-237. 2021.\n \n\n\n\n
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@Article{Loge21,\n  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},\n  title           = {Intelligent Questionnaires Using Approximate Dynamic Programming},\n  journal       = {i-com},\n  year            = {2021},\n  keywords =\t {Article, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Article},\n  subject =\t {Health, RL},\n  volume = 19,\n  number = 3,\n  pages = {227-237},\n  doi = {doi/10.1515/icom-2020-0022},\n  %preprint = {RL/2020-LLPAB-UCAI.pdf},\n  reprint = {RL/2021-LLPAB-i-com.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2021-LLPAB-i-com.pdf},\n  reprintOK = 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination.\n \n \n \n \n\n\n \n Stirnemann, J.; Besson, R.; Spaggiari, E.; Bourgon, N.; Rojo, S.; Loge, F.; Peyro-Saint-Paul, H.; Allassonniere, S.; Le Pennec, E.; and Ville, Y.\n\n\n \n\n\n\n In Ultrasound in Obstetrics & Gynecology, volume 58, pages 169-170, 2021. \n \n\n\n\n
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@inproceedings{stirnemann21,\n  author          = {Stirnemann, J. and Besson, R. and Spaggiari, E. and Bourgon, N. and Rojo, S. and Loge, F. and Peyro-Saint-Paul, H. and Allassonniere, S. and Le Pennec, E. and Ville, Y.},\ntitle = {Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination},\nbooktitle = {Ultrasound in Obstetrics \\& Gynecology},\nvolume = {58},\nnumber = {S1},\npages = {169-170},\nkeywords =\t {Proceedings, Health, ThemeHealth},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health},\ndoi = {10.1002/uog.24291},\n%url = {https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1002/uog.24291},\n%eprint = {https://obgyn.onlinelibrary.wiley.com/doi/pdf/10.1002/uog.24291},\nurl_pdf = {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2021-UOG-SBSBRLPSPALPV.pdf},\nyear = {2021},\n  lang =\t {English}\n}\n\n%%% 2020\n
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\n \n\n \n \n \n \n \n \n Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning.\n \n \n \n \n\n\n \n Logé, F.; Le Pennec, E.; and Amadou-Boubacar, H.\n\n\n \n\n\n\n In 2020 KDD Workshop on Applied Data Science for Healthcare, 2020. \n \n\n\n\n
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@inproceedings{LogeDSHealh20,\n  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},\n  title           = {Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning},\n  booktitle       = {2020 KDD Workshop on Applied Data Science for Healthcare},\n  year            = {2020},\n  keywords =\t {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health, RL},\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  preprint = {RL/2020-LLPAB-DSHealth.pdf},\n  reprint = {RL/2020-LLPAB-DSHealth.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-LLPAB-DSHealth.pdf},\n  arxiv = {2007.11880},\n  reprintOK = 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; Allassonnière, S.; Stirnemann, J.; Neuraz, A.; and Spaggiari, E.\n\n\n \n\n\n\n In ICAART 2020, 2020. \n \n\n\n\n
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@InProceedings{BessonIcaart20,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonnière,\n                  S. and Stirnemann, J. and Neuraz, A. and Spaggiari,\n                  E.},\n  title =\t {Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application},\n  year =\t 2020,\n  booktitle =\t {ICAART 2020},\n  keywords =\t {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health, RL},\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  preprint = {RL/2020-BLPSNSA-ICAART.pdf},\n  reprint = {RL/2020-BLPSNSA-ICAART.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-BLPSNSA-ICAART.pdf},\n  reprintOK = 1,\n  lang =\t {English},\n  doi = {10.5220/0008938804750482}\n}\n\n%%% 2019\n\n\n
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\n \n\n \n \n \n \n \n \n Representation Of Polysomnography Recordings As Low Dimensional Trajectories .\n \n \n \n \n\n\n \n Solelhac, G.; Brigham, M.; Bouchequet, P.; Andrillon, T.; Chennaoui, M.; Le Pennec, E.; Rey, M.; and Léger, D.\n\n\n \n\n\n\n In Sleep, volume 42, pages A128, 2019. \n 33rd Annual Meeting of the Associated Professional Sleep Societies\n\n\n\n
\n\n\n\n \n \n \"Representation pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Solelhac19,\n  author =\t {Solelhac, G. and Brigham, M. and\n                  Bouchequet, P. and Andrillon, Th. and\n\t\t  Chennaoui, M. and Le Pennec, E. and Rey, M. and Léger, D.},\n  title =\t {Representation Of Polysomnography Recordings As Low Dimensional Trajectories },\n  booktitle =\t {Sleep},\n  volume =\t 42,\n  pages =\t {A128},\n  year =\t 2019,\n  note =         {33rd Annual Meeting of the Associated Professional Sleep Societies}, \n  doi =\t\t {10.1093/sleep/zsz067.314},\n  x-international-audience ={no},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  keywords =\t {Proceedings, Health, ThemeHealth},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health},\n  preprint =\t {Health/2019-Sleep-SBBACLPRL},\n  reprint =\t {Health/2019-Sleep-SBBACLPRL.pdf},\n  reprintok =\t 1,\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2019-Slepp-SBBACLPRL.pdf},\n  lang =\t {English}\n}\n\n%%% 2018\n\n
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\n  \n 2018\n \n \n (2)\n \n \n
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\n  \n Actes de conférence nationale\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Une nouvelle représentation de la polysomnographie par une technique de machine learning nonsupervisée.\n \n \n \n \n\n\n \n Solelhac, G.; Brigham, M.; Marini, C.; Bouchequet, P.; Chennaoui, M.; Le Pennec, E.; and Léger, D.\n\n\n \n\n\n\n In Médecine du Sommeil, volume 15, pages 49, 2018. \n Résumés du Congrès du Sommeil. Marseille, 23-25 novembre 2017\n\n\n\n
\n\n\n\n \n \n \"Une pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Solelhac18nouvelle,\n  author =\t {Solelhac, G. and Brigham, M. and Marini, C. and\n                  Bouchequet, P. and Chennaoui, M. and Le Pennec,\n                  E. and Léger, D.},\n  title =\t {Une nouvelle représentation de la polysomnographie\n                  par une technique de machine learning nonsupervisée},\n  booktitle =\t {Médecine du Sommeil},\n  volume =\t 15,\n  number =\t 1,\n  pages =\t 49,\n  year =\t 2018,\n  note =\t "Résumés du Congrès du Sommeil. Marseille, 23-25\n                  novembre 2017",\n  issn =\t "1769-4493",\n  doi =\t\t "10.1016/j.msom.2018.01.132",\n  x-international-audience ={no},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  keywords =\t {Actes, Health, ThemeHealth},\n  pubtype =\t {Actes de conférence nationale},\n  subject =\t {Health},\n  preprint =\t {Health/2017-Sommeil-SBMBCLPL.pdf},\n  reprint =\t {Health/2017-Sommeil-SBMBCLPL.pdf},\n  reprintok =\t 1,\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2017-Sommeil-SBMBCLPL.pdf},\n  lang =\t {Français}\n}\n\n
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\n  \n Preprint\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; Allassonnière, S.; Stirnemann, J.; Spaggiari, E.; and Neuraz, A.\n\n\n \n\n\n\n . 2018.\n \n\n\n\n
\n\n\n\n \n \n \"A pdf\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Besson18,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonnière,\n                  S. and Stirnemann, J. and Spaggiari, E. and Neuraz,\n                  A.},\n  title =\t {A Model-Based Reinforcement Learning Approach for a\n                  Rare Disease Diagnostic Task},\n  journaltitle = {Preprint},\n  year =\t 2018,\n  keywords =\t {Preprint, Health, ThemeHealth, RL, ThemeRL},\n  pubtype =\t {Preprint},\n  subject =\t {Health, RL},\n  preprint =\t {Health/2018-arXiv-BLPASSN.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2018-arXiv-BLPASSN.pdf},\n  lang =\t {English},\n  arXiv =\t {1811.10112}\n}\n\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n  \n Actes de conférence nationale\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Optimisation d'arbre de décision pour un problème de détection précoce d'anomalies foetales.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; and Allassonière, S.\n\n\n \n\n\n\n In Journée de la SFdS, Avignon, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Optimisation pdf\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{BessonSfdS17,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonière, S.},\n  title =\t {Optimisation d'arbre de décision pour un problème de\n                  détection précoce d'anomalies foetales},\n  booktitle =\t {Journée de la SFdS},\n  year =\t 2017,\n  address =\t {Avignon},\n  x-international-audience ={no},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  keywords =\t {Actes, Health, ThemeHealth},\n  pubtype =\t {Actes de conférence nationale},\n  subject =\t {Health},\n  preprint =\t {Health/2017-SFdS-BLPA.pdf},\n  reprint =\t {Health/2017-SFdS-BLPA.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Health/2017-SFdS-BLPA.pdf},\n  reprintok =\t 1,\n  lang =\t {Francais},\n}\n\n\n%%% 2015\n\n
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