Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules

Abstract Background Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. However, those whose symptoms significantly improve and remain stable do not need to conform to a regular follow-up schedule. Based on the 1-year postoperative outcomes, we aimed to use a mach...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:BMC Medical Informatics and Decision Making
المؤلفون الرئيسيون: Yechan Seo, Seoi Jeong, Siyoung Lee, Tae-Shin Kim, Jun-Hoe Kim, Chun Kee Chung, Chang-Hyun Lee, John M. Rhee, Hyoun-Joong Kong, Chi Heon Kim
التنسيق: مقال
اللغة:الإنجليزية
منشور في: BMC 2024-09-01
الموضوعات:
Cervical vertebra
Laminoplasty
Machine learning
Outpatient clinic
Patient outcome assessment
Telemedicine
الوصول للمادة أونلاين:https://doi.org/10.1186/s12911-024-02693-y

الانترنت

https://doi.org/10.1186/s12911-024-02693-y

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