Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning

Research article (Biomedical Informatics Insights, 2016) · cited 80× · AI/ML
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Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning

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Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/methodological-issues-in-predicting-pediatric-epilepsy-surgery-candidates-through-natural-language-processing-and-machin
MLA “Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/methodological-issues-in-predicting-pediatric-epilepsy-surgery-candidates-through-natural-language-processing-and-machin.
BibTeX @misc{4ortxyz_methodological-issues-in-predicting-pediatric-epilepsy-surgery-candidates-through-natural-language-processing-and-machin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates through Natural Language Processing and Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/methodological-issues-in-predicting-pediatric-epilepsy-surgery-candidates-through-natural-language-processing-and-machin}, note = {Accessed: 2026-05-24}}
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