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Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Research article (Journal of Medical Internet Research, 2024) · cited 11× · AI/ML
academia openalex:W4400061825
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Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Summary

Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study is a scholarly article[1].

Key Facts

  • Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-clinical-radiomics-features-with-machine-learning-methods-for-building-models-to-predict-postoperative-recurre
MLA “Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-clinical-radiomics-features-with-machine-learning-methods-for-building-models-to-predict-postoperative-recurre.
BibTeX @misc{4ortxyz_combining-clinical-radiomics-features-with-machine-learning-methods-for-building-models-to-predict-postoperative-recurre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study}}, year = {2026}, url = {https://4ort.xyz/entity/combining-clinical-radiomics-features-with-machine-learning-methods-for-building-models-to-predict-postoperative-recurre}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study — https://4ort.xyz/entity/combining-clinical-radiomics-features-with-machine-learning-methods-for-building-models-to-predict-postoperative-recurre (retrieved 2026-05-24)

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