Optimizing healthcare delivery: leveraging large language models to do pre-consultation interactions
Medical resources are scarce, especially in densely populated areas where there is a high demand for hospital diagnoses. Often, there are long queues for appointments, which can be frustrating for patients. If patients could express their symptoms effectively and receive preliminary diagnoses prompt...
Saved in:
Main Author: | Liu, Linfeng |
---|---|
Other Authors: | Wang Lipo |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172684 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Leveraging large language models for effective user interaction via conversations
by: Zhang, Mengao
Published: (2024) -
Interactional motifs: Leveraging risks in large and distributed software development teams
by: DATTA, Subhajit, et al.
Published: (2021) -
Model-driven smart contract generation leveraging pretrained large language models
by: Jiang, Qinbo
Published: (2024) -
Pre-training model based on the transfer learning in natural language processing
by: Tang, Jiayi
Published: (2019) -
Leveraging large language models and BERT for log parsing and anomaly detection
by: Zhou, Yihan, et al.
Published: (2024)