« Decision-making at the limit of viability: differing perceptions and opinions between neonatal physicians and nurses, BMC Pediatr, vol.18, 2018. ,
Fell, « Mortality in Infants Affected by Preterm Birth and Severe Small-for-Gestational Age Birth Weight, Pediatrics, vol.140, issue.6, p.20171881, 2017. ,
« Neonatal outcomes of preterm or very-low-birth-weight infants over a decade from Queen Mary Hospital, Hong Kong: comparison with the Vermont Oxford Network, 2017. ,
« On Generality and Problem Solving: A Case Study Using the DENDRAL Program, p.26 ,
« Genetic programming as a means for programming computers by natural selection, Stat. Comput, vol.4, issue.2, 1994. ,
« Machine learning for medical diagnosis: history, state of the art and perspective, Artif. Intell. Med, vol.23, issue.1, pp.89-109, 2001. ,
,
Application of artificial neural networks to clinical medicine, The Lancet, vol.346, pp.1135-1138, 1995. ,
« Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns, pp.6820-6823, 2015. ,
« New approach for the diagnosis of extractions with neural network machine learning, Am. J. Orthod. Dentofacial Orthop, vol.149, issue.1, pp.127-133, 2016. ,
« Genetic programming for knowledge discovery in chest-pain diagnosis, IEEE Eng. Med. Biol. Mag, vol.19, issue.4, pp.38-44, 2000. ,
« Genetic programming in medical diagnosis, Health Technol. Inform, vol.95, pp.44-49, 2003. ,
« Investigation of Optimal Use of Computer-Aided Detection Systems, Acad. Radiol, vol.17, issue.9, pp.1112-1121, 2010. ,
Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury, Acad. Emerg. Med, vol.23, issue.2, pp.171-178 ,
« Prediction of hyperkalemia in dogs from electrocardiographic parameters using an artificial neural network », Acad. Emerg. Med. Off. J. Soc. Acad. Emerg. Med, vol.8, issue.6, pp.599-603, 2001. ,
« Genetic programming applied to severe diseases diagnosis, p.3 ,
« Diagnosis of Oral Cancer using Genetic Programming, 1996. ,
« Artificial neural network is highly predictive of outcome in paediatric acute liver failure, Pediatr. Transplant, vol.17, issue.6, pp.535-542, 2013. ,
« Postoperative neonatal mortality prediction using superlearning, J. Surg. Res, vol.221, pp.311-319, 2018. ,
« Predicting Extubation Outcome in Preterm Newborns: A Comparison of Neural Networks with Clinical Expertise and Statistical Modeling », Pediatr. Res, vol.56, issue.1, pp.11-18, 2004. ,
« Fuzzy linguistic model for evaluating the risk of neonatal death, Rev. Saude Publica, vol.36, issue.6, pp.686-692, 2002. ,
« Establishing the risk of neonatal mortality using a fuzzy predictive model, Cad. Saude Publica, vol.25, issue.9, pp.2043-2052, 2009. ,
« Estimating outcomes in newborn infants using fuzzy logic, Rev. Paul. Pediatr, vol.32, issue.2, pp.164-170, 2014. ,
An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making, Artif. Intell. Med, vol.62, issue.3, pp.193-201, 2014. ,
« A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor », Sci. Rep, vol.8, issue.1, 2018. ,
, Arbres binaires de recherche, pp.247-267
, On linear genetic programming, 2004.
McPhee « A field guide to genetic programming, 2008. ,
Culture En terme de lecture, le Godel -Escher -Bach est un ouvrage qui permet de comprendre les fondements de l'intelligence artificielle. En littérature et cinéma, Contribution à l'amélioration des techniques de la programmation génétique, 2011. ,
, Dick et le film réalisé par Ridley Scott font partie des « must»