R. B. Fetter, Diagnosis Related Groups: Understanding Hospital Performance, Interfaces, vol.21, issue.1, pp.6-26, 1991.
DOI : 10.1287/inte.21.1.6

R. Busse, A. Geissler, and W. Quentin, Diagnosis related groups in Europe: moving towards transparency, efficiency, and quality in hospitals?, BMJ, vol.346, issue.jun07 3, 2011.
DOI : 10.1136/bmj.f3197

URL : http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1853&context=buspapers

K. J. Cios and G. Moore, Uniqueness of medical data mining, Artificial Intelligence in Medicine, vol.26, issue.1-2, pp.1-24, 2002.
DOI : 10.1016/S0933-3657(02)00049-0

URL : http://isl.cudenver.edu/Director/../Publications/Papers/UniquenessOfMedicalDataMining.pdf

K. Doi, Current status and future potential of computer-aided diagnosis in medical imaging The British journal of radiology, Spec No, pp. S3?S19, jan 2005. [Online]. Available

V. Jain, System and method for image processing with assignment of medical codes Available: https://www.google, 2014.

R. Collobert and J. Weston, A unified architecture for natural language processing, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.160-167, 2008.
DOI : 10.1145/1390156.1390177

R. Farkas and G. Szarvas, Automatic construction of rule-based ICD-9-CM coding systems, BMC Bioinformatics, vol.9, issue.Suppl 3, p.10, 2008.
DOI : 10.1186/1471-2105-9-S3-S10

URL : https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-9-S3-S10?site=bmcbioinformatics.biomedcentral.com

I. Goldstein, A. Arzrumtsyan, and O. Uzuner, Three approaches to automatic assignment of ICD-9-CM codes to radiology reports, AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, pp.279-83, 2007.

A. R. Aronson, O. Bodenreider, D. Demner-fushman, K. W. Fung, V. K. Lee et al., From indexing the biomedical literature to coding clinical text, Proceedings of the Workshop on BioNLP 2007 Biological, Translational, and Clinical Language Processing, BioNLP '07, pp.105-112, 2007.
DOI : 10.3115/1572392.1572412

URL : http://acl.ldc.upenn.edu/w/w07/W07-1014.pdf

P. Ruch, J. Gobeill, I. Tbahriti, P. Tahintzi, C. Lovis et al., From clinical narratives to ICD codes: automatic text categorization for medico-economic encoding, Swiss Medical Informatics, vol.23, issue.61, pp.29-32, 2007.
DOI : 10.4414/smi.23.00142

S. V. Pakhomov, J. D. Buntrock, and C. G. Chute, Automating the Assignment of Diagnosis Codes to Patient Encounters Using Example-based and Machine Learning Techniques, Journal of the American Medical Informatics Association, vol.33, issue.4-5, pp.516-541, 2006.
DOI : 10.1016/j.artmed.2004.04.001

URL : https://academic.oup.com/jamia/article-pdf/13/5/516/2187623/13-5-516.pdf

K. Okamoto, T. Uchiyama, T. Takemura, T. Adachi, N. Kume et al., Automatic Selection of Diagnosis Procedure Combination Codes Based on Partial Treatment Data Relative to the Number of Hospitalization Days, Proc. APAMI 2012, p.1031, 2012.

J. W. Xu, S. Yu, J. Bi, L. V. Lita, R. S. Niculescu et al., Automatic medical coding of patient records via weighted ridge regression, Sixth International Conference on Machine Learning and Applications (ICMLA 2007), pp.260-265, 2007.
DOI : 10.1109/ICMLA.2007.32

URL : http://www.cs.cmu.edu/~stefann/papers/ICMLA07.pdf

L. V. Lita, S. Yu, S. Niculescu, and J. Bi, Large Scale Diagnostic Code Classification for Medical Patient Records, Proceeding sof the International Joint Conference on Natural Language Processing (IJCNLP'08). Citeseer, pp.877-882, 2008.

Y. Yan, G. Fung, J. G. Dy, and R. Rosales, Medical coding classification by leveraging inter-code relationships, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.193-201, 2010.
DOI : 10.1145/1835804.1835831

S. Pereira, A. Névéol, P. Massari, M. Joubert, and S. Darmoni, Construction of a semi-automated ICD-10 coding help system to optimize medical and economic coding, Studies in health technology and informatics, pp.845-50, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00499579

L. Lecornu, G. Thillay, C. L. Guillou, P. J. Garreau, P. Saliou et al., REFEROCOD: A probabilistic method to medical coding support, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3421-3424, 2009.
DOI : 10.1109/IEMBS.2009.5332495

J. Han, M. Kamber, and J. Pei, Data Mining, 2012.
DOI : 10.1145/233269.233324

URL : https://hal.archives-ouvertes.fr/hal-01534761

M. Djennaoui, G. Ficheur, R. Beuscart, and E. Chazard, Improvement of the quality of medical databases: data-mining-based prediction of diagnostic codes from previous patient codes, Studies in health technology and informatics, vol.210, pp.419-442, 2015.

J. Pinaire, J. Rabatel, J. Azé, S. Bringay, and P. Landais, Recherche et visualisation de trajectoires dans les parcours de soins des patients ayant eu un infarctus du myocarde Available: https, 2015.

J. C. Ferrao, M. D. Oliveira, F. Janela, and H. M. Martins, Clinical coding support based on structured data stored in electronic health records, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, pp.790-797, 2012.
DOI : 10.1109/BIBMW.2012.6470241

J. Ferrao, F. Janela, M. Oliveira, and H. Martins, Using Structured EHR Data and SVM to Support ICD-9-CM Coding, 2013 IEEE International Conference on Healthcare Informatics, pp.511-516
DOI : 10.1109/ICHI.2013.79

J. C. Ferrão, S. Healthcare, and F. Janela, Predicting length of stay and assignment of diagnosis codes during hospital inpatient episodes, Proceedings of the First Karlsruhe Service Summit Workshop-Advances in Service Research, p.65, 2015.

M. Sebban, R. Nock, J. H. Chauchat, and R. Rakotomalala, Impact of learning set quality and size on decision tree performances, International Journal of Computers, Systems and Signals, vol.1, issue.1, pp.85-105, 2000.

C. Potignon, A. Musat, P. Hillon, P. Rat, L. Osmak et al., P146-Impact financier pour les {é}tablissements hospitaliers du mauvais codage PMSI de la d{é}nutrition et de l'ob{é}sit{é}, 2010.

S. Tuffery, Data mining et statistique decisionnelle : l'intelligence des donnees, 2007.

M. H. Stanfill, M. Williams, S. H. Fenton, R. A. Jenders, and W. R. Hersh, A systematic literature review of automated clinical coding and classification systems, Journal of the American Medical Informatics Association, vol.17, issue.6, pp.646-51, 2010.
DOI : 10.1093/bib/6.4.344

URL : https://academic.oup.com/jamia/article-pdf/17/6/646/17373585/17-6-646.pdf