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. |
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| 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 |
| ISSN: | 1756-0381 |
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| DOI: | 10.1186/s13040-026-00547-z |
