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Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival
Research article (Oncotarget, 2015) · cited 26× · AI/ML
Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival
Summary
Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival is a scholarly article[1].
Key Facts
Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i
MLA“Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i.
BibTeX@misc{4ortxyz_development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival — https://4ort.xyz/entity/development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i (retrieved 2026-05-24)