Machine learning-based models for predicting glioma-associated epilepsy: a systematic review and meta-analysis.
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| Title: | Machine learning-based models for predicting glioma-associated epilepsy: a systematic review and meta-analysis. |
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| Authors: | Hajikarimloo B; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. bardii47@yahoo.com., Mohammadzadeh I; Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Shirzadi P; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tos SM; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Ebrahimi A; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hashemi R; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Najari D; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Ghorbanpouryami F; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hezaveh EB; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran. |
| Source: | Discover oncology [Discov Oncol] 2025 Nov 28; Vol. 16 (1), pp. 2181. Date of Electronic Publication: 2025 Nov 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101775142 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-6011 (Electronic) Linking ISSN: 27306011 NLM ISO Abbreviation: Discov Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2730-6011 |
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| DOI: | 10.1007/s12672-025-04035-4 |
