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Distinguishing cancer patients' mild and severe symptoms in radiotherapy via zero-shot and few-shot large language model-based probabilistic prompts.

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Title: Distinguishing cancer patients' mild and severe symptoms in radiotherapy via zero-shot and few-shot large language model-based probabilistic prompts.
Authors: Chen MW; Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA., Yan Y; School of Computing, Southern Illinois University, Carbondale, USA., Shen X; Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA., Gao H; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, USA., Chen Z; School of Computing, Southern Illinois University, Carbondale, USA. zhong.chen@cs.siu.edu.
Source: BioData mining [BioData Min] 2026 Apr 15; Vol. 19 (1). Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Chen+MW%22">Chen MW</searchLink>; Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.<br /><searchLink fieldCode="AU" term="%22Yan+Y%22">Yan Y</searchLink>; School of Computing, Southern Illinois University, Carbondale, USA.<br /><searchLink fieldCode="AU" term="%22Shen+X%22">Shen X</searchLink>; Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.<br /><searchLink fieldCode="AU" term="%22Gao+H%22">Gao H</searchLink>; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, USA.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; School of Computing, Southern Illinois University, Carbondale, USA. zhong.chen@cs.siu.edu.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101319161 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1756-0381 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217560381%22">17560381 </searchLink><i>NLM ISO Abbreviation: </i>BioData Min <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1186/s13040-026-00547-z
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      – TitleFull: Distinguishing cancer patients' mild and severe symptoms in radiotherapy via zero-shot and few-shot large language model-based probabilistic prompts.
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              Text: 2026 Apr 15
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