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
Press Enter · cited answer in seconds

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].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.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 prompt According 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)

Canonical URL: https://4ort.xyz/entity/development-of-a-ten-signature-classifier-using-a-support-vector-machine-integrated-approach-to-subdivide-the-m1-stage-i · Last refreshed: