This repository contains all the resources used for the development of the paper "A methodology based on Trace-based clustering for patient phenotyping".
Multiple citation formats can be used in order to cite this paper:
- BibTeX format:
@article{LOPEZMARTINEZCARRASCO2021107469,
title = {A methodology based on Trace-based clustering for patient phenotyping},
journal = {Knowledge-Based Systems},
volume = {232},
pages = {107469},
year = {2021},
issn = {0950-7051},
doi = {https://doi.org/10.1016/j.knosys.2021.107469},
url = {https://www.sciencedirect.com/science/article/pii/S0950705121007310},
author = {Antonio Lopez-Martinez-Carrasco and Jose M. Juarez and Manuel Campos and Bernardo Canovas-Segura},
keywords = {Clustering, Patient phenotype, Methodology, Subgroup discovery},
}
- RIS format:
TY - JOUR
T1 - A methodology based on Trace-based clustering for patient phenotyping
AU - Lopez-Martinez-Carrasco, Antonio
AU - Juarez, Jose M.
AU - Campos, Manuel
AU - Canovas-Segura, Bernardo
JO - Knowledge-Based Systems
VL - 232
SP - 107469
PY - 2021
DA - 2021/11/28/
SN - 0950-7051
DO - https://doi.org/10.1016/j.knosys.2021.107469
UR - https://www.sciencedirect.com/science/article/pii/S0950705121007310
KW - Clustering
KW - Patient phenotype
KW - Methodology
KW - Subgroup discovery
AB -
ER -
- Plain text:
Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Bernardo Canovas-Segura,
A methodology based on Trace-based clustering for patient phenotyping,
Knowledge-Based Systems,
Volume 232,
2021,
107469,
ISSN 0950-7051,
https://doi.org/10.1016/j.knosys.2021.107469.
(https://www.sciencedirect.com/science/article/pii/S0950705121007310)
Keywords: Clustering; Patient phenotype; Methodology; Subgroup discovery