[PDF][PDF] Meddialog: a large-scale medical dialogue dataset

S Chen, Z Ju, X Dong, H Fang, S Wang… - arXiv preprint arXiv …, 2020 - pengtaoxie.github.io
Medical dialogue systems are promising in assisting in telemedicine to increase access to
healthcare services, improve the quality of patient care, and reduce medical costs. To …

Meddialog: Two large-scale medical dialogue datasets

X He, S Chen, Z Ju, X Dong, H Fang, S Wang… - arXiv preprint arXiv …, 2020 - arxiv.org
Medical dialogue systems are promising in assisting in telemedicine to increase access to
healthcare services, improve the quality of patient care, and reduce medical costs. To …

MedDialog: Large-scale medical dialogue datasets

G Zeng, W Yang, Z Ju, Y Yang, S Wang… - Proceedings of the …, 2020 - aclanthology.org
Medical dialogue systems are promising in assisting in telemedicine to increase access to
healthcare services, improve the quality of patient care, and reduce medical costs. To …

Medical dialogue generation via dual flow modeling

K Xu, W Hou, Y Cheng, J Wang, W Li - arXiv preprint arXiv:2305.18109, 2023 - arxiv.org
Medical dialogue systems (MDS) aim to provide patients with medical services, such as
diagnosis and prescription. Since most patients cannot precisely describe their symptoms …

Midmed: Towards mixed-type dialogues for medical consultation

X Shi, Z Liu, C Wang, H Leng, K Xue, X Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Most medical dialogue systems assume that patients have clear goals (medicine querying,
surgical operation querying, etc.) before medical consultation. However, in many real …

Terminology-aware medical dialogue generation

C Tang, H Zhang, T Loakman, C Lin… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Medical dialogue generation aims to generate responses according to a history of dialogue
turns between doctors and patients. Unlike open-domain dialogue generation, this requires …

A benchmark for automatic medical consultation system: frameworks, tasks and datasets

W Chen, Z Li, H Fang, Q Yao, C Zhong, J Hao… - …, 2023 - academic.oup.com
Motivation In recent years, interest has arisen in using machine learning to improve the
efficiency of automatic medical consultation and enhance patient experience. In this article …

MedDG: an entity-centric medical consultation dataset for entity-aware medical dialogue generation

W Liu, J Tang, Y Cheng, W Li, Y Zheng… - … Conference on Natural …, 2022 - Springer
Medical dialogue systems interact with patients to collect symptoms and provide treatment
advice. In this task, medical entities (eg, diseases, symptoms, and medicines) are the most …

ReMeDi: Resources for multi-domain, multi-service, medical dialogues

G Yan, J Pei, P Ren, Z Ren, X Xin, H Liang… - Proceedings of the 45th …, 2022 - dl.acm.org
\AcpMDS aim to assist doctors and patients with a range of professional medical services, ie,
diagnosis, treatment and consultation. The development of\acpMDS is hindered because of …

Meddg: A large-scale medical consultation dataset for building medical dialogue system

W Liu, J Tang, J Qin, L Xu, Z Li, X Liang - 2020 - europepmc.org
Developing conversational agents to interact with patients and provide primary clinical
advice has attracted increasing attention due to its huge application potential, especially in …