Predictive models in emergency medicine and their missing data strategies: a systematic review (2023)
Journal Article
Arnaud, E., Elbattah, M., Ammirati, C., Dequen, G., & Ghazali, D. A. (2023). Predictive models in emergency medicine and their missing data strategies: a systematic review. npj Digital Medicine, 6(1), 28. https://doi.org/10.1038/s41746-023-00770-6

In the field of emergency medicine (EM), the use of decision support tools based on artificial intelligence has increased markedly in recent years. In some cases, data are omitted deliberately and thus constitute “data not purposely collected” (DNPC)... Read More about Predictive models in emergency medicine and their missing data strategies: a systematic review.

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder (2023)
Book Chapter
Elbattah, M., Carette, R., Cilia, F., Guérin, J., & Dequen, G. (2023). Applications of machine learning methods to assist the diagnosis of autism spectrum disorder. In Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2: Diagnosis and Clinical Analysis (99-119). Elsevier. https://doi.org/10.1016/B978-0-12-824421-0.00013-8

Autism spectrum disorder (ASD) is a lifelong neuro-developmental disorder that is generally marked by a set of communication and social impairments. The early diagnosis of autism is genuinely beneficial for the welfare of children and parents as well... Read More about Applications of machine learning methods to assist the diagnosis of autism spectrum disorder.