Severity assessment in CDKL5 deficiency disorder
S Demarest, EM Pestana-Knight, HE Olson, J Downs… - Pediatric …, 2019 - Elsevier
Background Pathologic mutations in cyclin-dependent kinase-like 5 cause CDKL5
deficiency disorder, a genetic syndrome associated with severe epilepsy and cognitive …
deficiency disorder, a genetic syndrome associated with severe epilepsy and cognitive …
[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation
Missing data is a common problem in real-world data sets and it is amongst the most
complex topics in computer science and many other research domains. The common ways …
complex topics in computer science and many other research domains. The common ways …
Flexible realistic simulation of seizure occurrence recapitulating statistical properties of seizure diaries
DM Goldenholz, MB Westover - Epilepsia, 2023 - Wiley Online Library
Objective A realistic seizure diary simulator is currently unavailable for many research
needs, including clinical trial analysis and evaluation of seizure detection and seizure …
needs, including clinical trial analysis and evaluation of seizure detection and seizure …
Characteristics of large patient‐reported outcomes: where can one million seizures get us?
V Ferastraoaru, DM Goldenholz, S Chiang… - Epilepsia …, 2018 - Wiley Online Library
Objective To analyze data from Seizure Tracker, a large electronic seizure diary, including
comparison of seizure characteristics among different etiologies, temporal patterns in …
comparison of seizure characteristics among different etiologies, temporal patterns in …
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling
The software implementing our model, with setup instructions and codes replicating the
simulation studies, can be found as online supplement. To request the decryption password …
simulation studies, can be found as online supplement. To request the decryption password …
Individualizing the definition of seizure clusters based on temporal clustering analysis
Objective Seizure clusters are often encountered in people with poorly controlled epilepsy.
Detection of seizure clusters is currently based on simple clinical rules, such as two seizures …
Detection of seizure clusters is currently based on simple clinical rules, such as two seizures …
Patterns of epileptic seizure occurrence
M Amengual-Gual, IS Fernández, T Loddenkemper - Brain research, 2019 - Elsevier
Background The occurrence of epileptic seizures in seemingly random patterns takes a
great toll on persons with epilepsy and their families. Seizure prediction may markedly …
great toll on persons with epilepsy and their families. Seizure prediction may markedly …
Prospective validation study of an epilepsy seizure risk system for outpatient evaluation
S Chiang, DM Goldenholz, R Moss, VR Rao… - …, 2020 - Wiley Online Library
Objective We conducted clinical testing of an automated Bayesian machine learning
algorithm (Epilepsy Seizure Assessment Tool [EpiSAT]) for outpatient seizure risk …
algorithm (Epilepsy Seizure Assessment Tool [EpiSAT]) for outpatient seizure risk …
When can we trust responders? Serious concerns when using 50% response rate to assess clinical trials
Individual seizure rates are highly volatile, with large fluctuations from month‐to‐month.
Nevertheless, changes in individual mean seizure rates are used to measure whether or not …
Nevertheless, changes in individual mean seizure rates are used to measure whether or not …