Prompt engineering for healthcare: Methodologies and applications
J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang… - ar** of postpartum hemorrhage using large language models
E Alsentzer, MJ Rasmussen, R Fontoura, AL Cull… - NPJ Digital …, 2023 - nature.com
Many areas of medicine would benefit from deeper, more accurate phenoty**, but there
are limited approaches for phenoty** using clinical notes without substantial annotated …
are limited approaches for phenoty** using clinical notes without substantial annotated …
[HTML][HTML] Knowledge injected prompt based fine-tuning for multi-label few-shot icd coding
Abstract Automatic International Classification of Diseases (ICD) coding aims to assign
multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is …
multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is …
Knowledge graphs for the life sciences: Recent developments, challenges and opportunities
The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …
and include chemistry, biology, medicine, and a range of other related disciplines. Research …
Paniniqa: Enhancing patient education through interactive question answering
A patient portal allows discharged patients to access their personalized discharge
instructions in electronic health records (EHRs). However, many patients have difficulty …
instructions in electronic health records (EHRs). However, many patients have difficulty …
Keblm: Knowledge-enhanced biomedical language models
Pretrained language models (PLMs) have demonstrated strong performance on many
natural language processing (NLP) tasks. Despite their great success, these PLMs are …
natural language processing (NLP) tasks. Despite their great success, these PLMs are …
Improving summarization with human edits
Recent work has shown the promise of learning with human feedback paradigms to produce
human-determined high-quality text. Existing works use human feedback to train large …
human-determined high-quality text. Existing works use human feedback to train large …
[HTML][HTML] Context variance evaluation of pretrained language models for prompt-based biomedical knowledge probing
Pretrained language models (PLMs) have motivated research on what kinds of knowledge
these models learn. Fill-in-the-blanks problem (eg, cloze tests) is a natural approach for …
these models learn. Fill-in-the-blanks problem (eg, cloze tests) is a natural approach for …
Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B …
Objective Accurately identifying clinical phenotypes from Electronic Health Records (EHRs)
provides additional insights into patients' health, especially when such information is …
provides additional insights into patients' health, especially when such information is …
NoteChat: a dataset of synthetic doctor-patient conversations conditioned on clinical notes
The detailed clinical records drafted by doctors after each patient's visit are crucial for
medical practitioners and researchers. Automating the creation of these notes with language …
medical practitioners and researchers. Automating the creation of these notes with language …