This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1185) Artificial Intelligence (1371)

Published on in Vol 8, No 2 (2020): February

Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach

Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach

Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach

Authors of this article:

Xiaojin Li1 Author Orcid Image ;   Shiqiang Tao1 Author Orcid Image ;   Shirin Jamal-Omidi1 Author Orcid Image ;   Yan Huang2 Author Orcid Image ;   Samden D Lhatoo1 Author Orcid Image ;   Guo-Qiang Zhang1, 3 Author Orcid Image ;   Licong Cui3 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Kim Y, Jiang X, Lhatoo S, Zhang G, Tao S, Cui L, Li X, Jolly R, Chen L, Phan M, Ha C, Detranaltes M, Zhang J. A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics and Decision Making 2020;20(S12) View
  2. Lamichhane B, Kim Y, Segarra S, Zhang G, Lhatoo S, Hampson J, Jiang X. Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics and Decision Making 2020;20(S12) View
  3. Zhu C, Kim Y, Jiang X, Lhatoo S, Jaison H, Zhang G. A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics and Decision Making 2020;20(S12) View
  4. Rabinovitch A, Thieberger R, Aviram I, Biton Y, Braunstein D. Origin of post-ictal and post-anesthesia adverse effects and possibly of SUDEP. Medical Hypotheses 2021;151:110591 View
  5. Li X, Cui L, Zhang G, Lhatoo S. Can Big Data guide prognosis and clinical decisions in epilepsy?. Epilepsia 2021;62(S2) View
  6. Gu B, Adeli H. Toward automated prediction of sudden unexpected death in epilepsy. Reviews in the Neurosciences 2022;33(8):877 View
  7. Alanazi E, Abdou A, Luo J. Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models. JMIR Formative Research 2021;5(12):e23440 View
  8. Li X, Tao S, Lhatoo S, Cui L, Huang Y, Hampson J, Zhang G. A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy. Frontiers in Big Data 2022;5 View
  9. He J, Yang L, Liu D, Song Z. Automatic Recognition of High-Density Epileptic EEG Using Support Vector Machine and Gradient-Boosting Decision Tree. Brain Sciences 2022;12(9):1197 View
  10. Li X, Huang Y, Lhatoo S, Tao S, Vilella Bertran L, Zhang G, Cui L. A hybrid unsupervised and supervised learning approach for postictal generalized EEG suppression detection. Frontiers in Neuroinformatics 2022;16 View
  11. Vakilna Y, Li X, Hampson J, Huang Y, Mosher J, Dabaghian Y, Luo X, Talavera B, Pati S, Todd M, Hays R, Szabo C, Zhang G, Lhatoo S. Reliable detection of generalized convulsive seizures using an off‐the‐shelf digital watch: A multisite phase 2 study. Epilepsia 2024;65(7):2054 View
  12. Chen Q, Chen Z, Zhu X, Zhuang J, Yao L, Zheng H, Li J, Xia T, Lin J, Huang J, Zeng Y, Fan C, Fan J, Song D, Zhang Y. Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance. DIGITAL HEALTH 2024;10 View