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Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study
Research article (Journal of Clinical Medicine, 2023) · cited 19× · AI/ML
Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study
Summary
Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study is a scholarly article[1].
Key Facts
Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-model-based-on-optimized-radiomics-feature-from-18f-fdg-pet-ct-and-clinical-characteristics-predicts-pr
MLA“Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-model-based-on-optimized-radiomics-feature-from-18f-fdg-pet-ct-and-clinical-characteristics-predicts-pr.
BibTeX@misc{4ortxyz_machine-learning-model-based-on-optimized-radiomics-feature-from-18f-fdg-pet-ct-and-clinical-characteristics-predicts-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-model-based-on-optimized-radiomics-feature-from-18f-fdg-pet-ct-and-clinical-characteristics-predicts-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study — https://4ort.xyz/entity/machine-learning-model-based-on-optimized-radiomics-feature-from-18f-fdg-pet-ct-and-clinical-characteristics-predicts-pr (retrieved 2026-05-24)
