Back

Application of transformers for predicting epilepsy treatment response

2020-11-13 neurology Title + abstract only
View on medRxiv
Show abstract

There is growing interest in machine learning based approaches to assist clinicians in treatment selection. In the treatment of epilepsy, a common neurological disorder that affects 70 million people worldwide, previous research has employed scoring methods generated from traditional machine learning methods based on pre-treatment patient characteristics to classify those with drug-resistant epilepsy (DRE). In this study, we used an attention-based approach in predicting the response to differen...

Predicted journal destinations

1
Epilepsia
27 training papers
#1 28.8%
2
Scientific Reports
701 training papers
Top 26% 7.8%
3
Brain Communications
79 training papers
Top 2% 6.5%
4
PLOS ONE
1737 training papers
Top 82% 5.1%
5
Brain Stimulation
27 training papers
Top 0.8% 3.9%
6
Frontiers in Neurology
74 training papers
Top 6% 3.9%
7
Clinical Neurophysiology
19 training papers
Top 0.5% 3.9%
8
Brain
69 training papers
Top 5% 3.1%
9
Journal of Neural Engineering
19 training papers
Top 0.7% 2.8%
10
Frontiers in Neuroscience
29 training papers
Top 1% 1.9%
11
npj Parkinson's Disease
35 training papers
Top 2% 1.9%
12
Annals of Neurology
43 training papers
Top 4% 1.9%
13
NeuroImage
36 training papers
Top 2% 1.9%
14
NeuroImage: Clinical
77 training papers
Top 6% 1.9%
15
Human Brain Mapping
53 training papers
Top 5% 1.6%
16
npj Digital Medicine
85 training papers
Top 14% 1.3%
17
Neurology
38 training papers
Top 7% 1.3%
18
Movement Disorders
49 training papers
Top 5% 1.2%
19
European Journal of Neurology
20 training papers
Top 5% 1.0%
20
Journal of Neurology
22 training papers
Top 5% 1.0%
21
Alzheimer's & Dementia
84 training papers
Top 8% 1.0%
22
Parkinsonism & Related Disorders
16 training papers
Top 3% 1.0%
23
PLOS Digital Health
88 training papers
Top 16% 1.0%
24
Journal of Neurology, Neurosurgery & Psychiatry
26 training papers
Top 6% 1.0%
25
Annals of Clinical and Translational Neurology
22 training papers
Top 5% 0.7%
26
Alzheimer's Research & Therapy
31 training papers
Top 6% 0.7%
27
Brain Sciences
19 training papers
Top 2% 0.7%
28
Frontiers in Aging Neuroscience
22 training papers
Top 4% 0.7%
29
Neurobiology of Aging
29 training papers
Top 6% 0.7%
30
Nature Communications
483 training papers
Top 60% 0.7%