Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models
(2018)
Presentation / Conference Contribution
Alhassan, Z., McGough, S., Alshammari, R., Daghstani, T., Budgen, D., & Al Moubayed, N. (2018). Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models. In V. Kůrková, Y. Manolopoulos, B. Hammer, L. Iliadis, & I. Maglogiannis (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, proceedings, part III (468-478). https://doi.org/10.1007/978-3-030-01424-7_46
Clinical data is usually observed and recorded at irregular intervals and includes: evaluations, treatments, vital sign and lab test results. These provide an invaluable source of information to help diagnose and understand medical conditions. In thi... Read More about Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models.