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An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration
Research article (Cancer Medicine, 2023) · cited 18× · AI/ML
An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration
Summary
An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration is a scholarly article[1].
Key Facts
An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration'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). An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-deep-learning-framework-for-predicting-liver-metastases-in-postoperative-colorectal-cancer-patients-usi
MLA“An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-deep-learning-framework-for-predicting-liver-metastases-in-postoperative-colorectal-cancer-patients-usi.
BibTeX@misc{4ortxyz_an-interpretable-deep-learning-framework-for-predicting-liver-metastases-in-postoperative-colorectal-cancer-patients-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-deep-learning-framework-for-predicting-liver-metastases-in-postoperative-colorectal-cancer-patients-usi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration — https://4ort.xyz/entity/an-interpretable-deep-learning-framework-for-predicting-liver-metastases-in-postoperative-colorectal-cancer-patients-usi (retrieved 2026-05-24)
