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Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis
Research article (Scientific Reports, 2024) · cited 12× · AI/ML
Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis
Summary
Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis is a scholarly article[1].
Key Facts
Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis's instance of is recorded as scholarly article[2].
References
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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). Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-models-for-predicting-the-survival-of-patients-with-hepatocellular-carcinoma-based-on-a-surveillance-epide
MLA“Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-models-for-predicting-the-survival-of-patients-with-hepatocellular-carcinoma-based-on-a-surveillance-epide.
BibTeX@misc{4ortxyz_deep-learning-models-for-predicting-the-survival-of-patients-with-hepatocellular-carcinoma-based-on-a-surveillance-epide_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-models-for-predicting-the-survival-of-patients-with-hepatocellular-carcinoma-based-on-a-surveillance-epide}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis — https://4ort.xyz/entity/deep-learning-models-for-predicting-the-survival-of-patients-with-hepatocellular-carcinoma-based-on-a-surveillance-epide (retrieved 2026-05-24)
