Rise of the Machines? Predicting Brivaracetam Response Using Machine Learning-Reference-Cited by-同舟云学术

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Rise of the Machines? Predicting Brivaracetam Response Using Machine Learning

Published:2021-10-15 Issue: Volume: Page:153575972110490
ISSN:1535-7597
Container-title:Epilepsy Currents
language:en
Short-container-title:Epilepsy Curr

Author:

Terman Samuel W.

Publisher

SAGE Publications

Subject

Neurology (clinical)

Link

http://journals.sagepub.com/doi/pdf/10.1177/15357597211049052

Reference7 articles.

1. Machine learning applications in epilepsy

2. Clinicians’ Expectations of the Benefits and Harms of Treatments, Screening, and Tests

3. Predicting seizure freedom after epilepsy surgery, a challenge in clinical practice

4. A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

5. Towards realizing the vision of precision medicine: AI based prediction of clinical drug response

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Brivaracetam in patients with and without intellectual disability: Who benefits most and who tolerates it best?;Epilepsy & Behavior;2024-10

2. Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist;Current Neurology and Neuroscience Reports;2023-12

3. Back to the Basics in Predictive Modeling—Predicting Surgical Success;Epilepsy Currents;2023-11-06

4. Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery;Cureus;2023-08-30

5. Deep Thoughts—Predicting Initial Treatment Response in Newly Diagnosed Epilepsy;Epilepsy Currents;2022-12-07

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