All Outputs (4)

The role of text analytics in healthcare: A review of recent developments and applications (2021)
Conference Proceeding
Elbattah, M., Arnaud, É., Gignon, M., & Dequen, G. (2021). The role of text analytics in healthcare: A review of recent developments and applications. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (825-832). https://doi.org/10.5220/0010414508250832

The implementation of Data Analytics has achieved a significant momentum across a very wide range of domains. Part of that progress is directly linked to the implementation of Text Analytics solutions. Organisations increasingly seek to harness the p... Read More about The role of text analytics in healthcare: A review of recent developments and applications.

Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning (2021)
Journal Article
Cilia, F., Carette, R., Elbattah, M., Dequen, G., Guérin, J. L., Bosche, J., …Le Driant, B. (2021). Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning. JMIR Human Factors, 8(4), Article e27706. https://doi.org/10.2196/27706

Background: The early diagnosis of autism spectrum disorder (ASD) is highly desirable but remains a challenging task, which requires a set of cognitive tests and hours of clinical examinations. In addition, variations of such symptoms exist, which ca... Read More about Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning.

NLP-based prediction of medical specialties at hospital admission using triage notes (2021)
Conference Proceeding
Arnaud, E., Elbattah, M., Gignon, M., & Dequen, G. (2021). NLP-based prediction of medical specialties at hospital admission using triage notes. In 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI) (548-553). https://doi.org/10.1109/ichi52183.2021.00103

Data Analytics is rapidly expanding within the healthcare domain to help develop strategies for improving the quality of care and curbing costs as well. Natural Language Processing (NLP) solutions have received particular attention whereas a large pa... Read More about NLP-based prediction of medical specialties at hospital admission using triage notes.

Variational autoencoder for image-based augmentation of eye-tracking data (2021)
Journal Article
Elbattah, M., Loughnane, C., Guérin, J. L., Carette, R., Cilia, F., & Dequen, G. (2021). Variational autoencoder for image-based augmentation of eye-tracking data. Journal of Imaging, 7(5), Article 83. https://doi.org/10.3390/jimaging7050083

Over the past decade, deep learning has achieved unprecedented successes in a diversity of application domains, given large-scale datasets. However, particular domains, such as healthcare, inherently suffer from data paucity and imbalance. Moreover,... Read More about Variational autoencoder for image-based augmentation of eye-tracking data.