[HTML][HTML] Prompt engineering paradigms for medical applications: Scoping review
Background Prompt engineering, focusing on crafting effective prompts to large language
models (LLMs), has garnered attention for its capabilities at harnessing the potential of …
models (LLMs), has garnered attention for its capabilities at harnessing the potential of …
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Prompt engineering is crucial for harnessing the potential of large language models (LLMs),
especially in the medical domain where specialized terminology and phrasing is used …
especially in the medical domain where specialized terminology and phrasing is used …
[PDF][PDF] Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis
W Zhang, L Zhou, M Shao, C Wang… - International Journal of …, 2024 - sciendo.com
Sepsis is a severe infectious disease with high incidence and mortality rates worldwide.
Early diagnosis of sepsis in newly admitted intensive care unit patients is crucial to reduce …
Early diagnosis of sepsis in newly admitted intensive care unit patients is crucial to reduce …
Self-supervised representation learning for clinical decision making using EHR categorical data: a scoping review
Y ZHENG, A BENSAHLA, M BJELOGRLIC, J ZAGHIR… - 2024 - researchsquare.com
The widespread adoption of Electronic Health Records (EHRs) and deep learning,
particularly through Self-Supervised Representation Learning (SSRL) for categorical data …
particularly through Self-Supervised Representation Learning (SSRL) for categorical data …