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Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus
Research article (JCO Clinical Cancer Informatics, 2020) · cited 11× · AI/ML
Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus
Summary
Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus is a scholarly article[1].
Key Facts
Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-and-accurate-extracting-of-unstructured-ehrs-on-cancer-therapy-responses-for-the-development-of-recist-natural
MLA“Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-and-accurate-extracting-of-unstructured-ehrs-on-cancer-therapy-responses-for-the-development-of-recist-natural.
BibTeX@misc{4ortxyz_efficient-and-accurate-extracting-of-unstructured-ehrs-on-cancer-therapy-responses-for-the-development-of-recist-natural_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-and-accurate-extracting-of-unstructured-ehrs-on-cancer-therapy-responses-for-the-development-of-recist-natural}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus — https://4ort.xyz/entity/efficient-and-accurate-extracting-of-unstructured-ehrs-on-cancer-therapy-responses-for-the-development-of-recist-natural (retrieved 2026-05-24)
