Cargando…

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

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, we propose two frameworks to support automatic medical consultation, namely doctor–patient dialogue understanding an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Wei, Li, Zhiwei, Fang, Hongyi, Yao, Qianyuan, Zhong, Cheng, Hao, Jianye, Zhang, Qi, Huang, Xuanjing, Peng, Jiajie, Wei, Zhongyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848052/ https://www.ncbi.nlm.nih.gov/pubmed/36539203 http://dx.doi.org/10.1093/bioinformatics/btac817

Ejemplares similares

SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
por: Kodym, Oldřich, et al.
Publicado: (2021)

DxFormer: a decoupled automatic diagnostic system based on decoder–encoder transformer with dense symptom representations
por: Chen, Wei, et al.
Publicado: (2022)

Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content
por: Gasparini, Francesca, et al.
Publicado: (2022)

Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework
por: Pagnotta, Mattia F., et al.
Publicado: (2018)

A benchmark dataset of protein antigens for antigenicity measurement
por: Qiu, Tianyi, et al.
Publicado: (2020)

A benchmark dataset for Hydrogen Combustion
por: Guan, Xingyi, et al.
Publicado: (2022)

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
por: Payette, Kelly, et al.
Publicado: (2021)

Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation
por: Yim, Wen-wai, et al.
Publicado: (2023)

Representativeness of variation benchmark datasets
por: Schaafsma, Gerard C. P., et al.
Publicado: (2018)

Benchmark datasets incorporating diverse tasks, sample sizes, material systems, and data heterogeneity for materials informatics
por: Henderson, Ashley N., et al.
Publicado: (2021)

A benchmark dataset and case study for Chinese medical question intent classification
por: Chen, Nan, et al.
Publicado: (2020)

A social and news media benchmark dataset for topic modeling
por: Miles, Samuel, et al.
Publicado: (2022)

Decoys Selection in Benchmarking Datasets: Overview and Perspectives
por: Réau, Manon, et al.
Publicado: (2018)

Benchmarking Domain Adaptation Methods on Aerial Datasets
por: Nagananda, Navya, et al.
Publicado: (2021)

A function dataset for benchmarking in sensitivity analysis
por: Azzini, Ivano, et al.
Publicado: (2022)

A benchmark dataset for machine learning in ecotoxicology
por: Schür, Christoph, et al.
Publicado: (2023)

SC2disease: a manually curated database of single-cell transcriptome for human diseases
por: Zhao, Tianyi, et al.
Publicado: (2020)

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation
por: Gómez, Pablo, et al.
Publicado: (2020)

A benchmark dataset for ensemble framework by using nature inspired algorithms for the early-stage forest fire rescue
por: Zhang, HongGuang, et al.
Publicado: (2020)

SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection
por: Otgonbold, Munkh-Erdene, et al.
Publicado: (2022)

Computational fluid dynamics benchmark dataset of airflow in tracheas
por: Bates, A.J., et al.
Publicado: (2016)

Clustering benchmark datasets exploiting the fundamental clustering problems
por: Thrun, Michael C., et al.
Publicado: (2020)

A benchmark dataset for analyzing and visualizing the dynamic epiproteome
por: Kaur, Sandeep, et al.
Publicado: (2019)

Benchmark datasets of immune receptor-epitope structural complexes
por: Mahajan, Swapnil, et al.
Publicado: (2019)

Variation benchmark datasets: update, criteria, quality and applications
por: Sarkar, Anasua, et al.
Publicado: (2020)

Benchmark classification dataset for laser-induced breakdown spectroscopy
por: Képeš, Erik, et al.
Publicado: (2020)

Benchmark dataset for the convex hull of 2D disks
por: Song, Chanyoung, et al.
Publicado: (2019)

IFND: a benchmark dataset for fake news detection
por: Sharma, Dilip Kumar, et al.
Publicado: (2021)

Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance
por: Kim, Hyeongjun, et al.
Publicado: (2022)

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets
por: John, Manuel, et al.
Publicado: (2023)

Automatic infection detection based on electronic medical records
por: Tou, Huaixiao, et al.
Publicado: (2018)

Attaining Automaticity in the Visual Numerosity Task is Not Automatic
por: Speelman, Craig P., et al.
Publicado: (2015)

Antibody-protein interactions: benchmark datasets and prediction tools evaluation
por: Ponomarenko, Julia V, et al.
Publicado: (2007)

Extended analysis of benchmark datasets for Agilent two-color microarrays
por: Kerr, Kathleen F
Publicado: (2007)

Exploring benchmark dataset bias in ligand based virtual screening
por: Baumann, Knut, et al.
Publicado: (2008)

Benchmarking Undedicated Cloud Computing Providers for Analysis of Genomic Datasets
por: Yazar, Seyhan, et al.
Publicado: (2014)

Synthetic neuronal datasets for benchmarking directed functional connectivity metrics
por: Rodrigues, João, et al.
Publicado: (2015)

Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation
por: Liu, Qian, et al.
Publicado: (2016)

A benchmark dataset for the multiple depot vehicle scheduling problem
por: Kulkarni, Sarang, et al.
Publicado: (2018)

A benchmark dataset of herbarium specimen images with label data
por: Dillen, Mathias, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_pforajsv2vi2ee2v18q2pv78a6