Natural language processing

Investigating fine-tuning versus zero-shot learning for general large language models when predicting cancer survival from initial oncology consultation documents
Unstructured oncology consultation notes contain rich clinical information that may support survival prediction. Open-weight large …
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Cancer Navigation Chatbot
Cancer patients in British Columbia face significant challenges in navigating care resources scattered across multiple providers and locations. Delays in accessing these resources can impact not only quality of life but even survival—for example, when a patient cannot reach their cancer centre for chemotherapy or is unaware of a transportation assistance program.
Cancer Navigation Chatbot
Cancer Care Needs Explainable Artificial Intelligence: Motivations from Potential Users
Predicting Which Patients with Cancer Will See a Psychiatrist or Counsellor from Their Initial Oncology Consultation Document Using Natural Language Processing
Patients with cancer often have unmet psychosocial needs. Early detection of who requires referral to a counsellor or psychiatrist may …
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Predicting the Survival of Patients With Cancer From Their Initial Oncology Consultation Document Using Natural Language Processing
Predicting short- and long-term survival of patients with cancer may improve their care. This study investigates whether natural …
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Using Neural Language Models to Predict the Psychosocial Needs of Cancer Patients
Cancer is associated not only with mortality, but also with impacts on physical, mental, and social health. When unmet, psychosocial …
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