Deep Thoughts-Predicting Initial Treatment Response in Newly Diagnosed Epilepsy
- PMID: 37122398
- PMCID: PMC10131576
- DOI: 10.1177/15357597221139365
Deep Thoughts-Predicting Initial Treatment Response in Newly Diagnosed Epilepsy
Conflict of interest statement
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Comment on
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Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy.JAMA Neurol. 2022 Oct 1;79(10):986-996. doi: 10.1001/jamaneurol.2022.2514. JAMA Neurol. 2022. PMID: 36036923 Free PMC article.
References
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- Devinsky O, Dilley C, Ozery-flato M, et al.Changing the approach to treatment choice in epilepsy using big data. Epilepsy Behav. 2016;56:32–37. doi:10.1016/j.yebeh.2015.12.039 - PubMed
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- Birbeck GL, Hays RD, Cui X, Vickrey BG. Seizure reduction and quality of life improvements in people with epilepsy. Epilepsia. 2002;43(5):535–538. - PubMed
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