Home ›
Entities
› academia
› Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy
Research article (International Journal of Radiation Oncology*Biology*Physics, 2021) · cited 65× · AI/ML
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy
Summary
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy is a scholarly article[1].
Key Facts
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-multiomics-information-in-deep-learning-architectures-for-joint-actuarial-outcome-prediction-in-non-small-ce
MLA“Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-multiomics-information-in-deep-learning-architectures-for-joint-actuarial-outcome-prediction-in-non-small-ce.
BibTeX@misc{4ortxyz_integrating-multiomics-information-in-deep-learning-architectures-for-joint-actuarial-outcome-prediction-in-non-small-ce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-multiomics-information-in-deep-learning-architectures-for-joint-actuarial-outcome-prediction-in-non-small-ce}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy — https://4ort.xyz/entity/integrating-multiomics-information-in-deep-learning-architectures-for-joint-actuarial-outcome-prediction-in-non-small-ce (retrieved 2026-05-24)