2017
Silva, A.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.
Text mining models to predict brain deaths using X-Rays clinical notes Proceedings Article
Em: R., Gelbukh A. Prasath (Ed.): pp. 153-163, Springer Verlag, 2017, ISSN: 03029743, (cited By 2; Conference of 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016 ; Conference Date: 13 November 2016 Through 19 November 2016; Conference Code:191459).
Resumo | Links | BibTeX | Etiquetas: Brain death; Clinical notes; Critical events; Medical fields; Predictive models; Specific areas; Structured text; Text mining, Data mining, Forecasting; Medical computing; X rays
@inproceedings{Silva2017153,
title = {Text mining models to predict brain deaths using X-Rays clinical notes},
author = {A. Silva and F. Portela and M. F. Santos and J. Machado and A. Abelha},
editor = {Gelbukh A. Prasath R.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018394209&doi=10.1007%2f978-3-319-58130-9_15&partnerID=40&md5=211a0c8c61a17d7a26286f64f21c5dbe},
doi = {10.1007/978-3-319-58130-9_15},
issn = {03029743},
year = {2017},
date = {2017-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {10089 LNAI},
pages = {153-163},
publisher = {Springer Verlag},
abstract = {The prediction of events is a task associated to the Data Science area. In the health, this method is extremely useful to predict critical events that may occur in people, or in a specific area. The Text Mining is a technique that consists in retrieving information from text files. In the Medical Field, the Data Mining and Text Mining solutions can help to prevent the occurrence of certain events to a patient. This project involves the use of Text Mining to predict the Brain Death by using the X-Ray clinical notes. This project is creating reliable predictive models with non-structured text. This project was developed using real data provided by Centro Hospitalar do Porto. The results achieved are very good reaching a sensitivity of 98% and a specificity of 88%. © 2017, Springer International Publishing AG.},
note = {cited By 2; Conference of 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016 ; Conference Date: 13 November 2016 Through 19 November 2016; Conference Code:191459},
keywords = {Brain death; Clinical notes; Critical events; Medical fields; Predictive models; Specific areas; Structured text; Text mining, Data mining, Forecasting; Medical computing; X rays},
pubstate = {published},
tppubtype = {inproceedings}
}
The prediction of events is a task associated to the Data Science area. In the health, this method is extremely useful to predict critical events that may occur in people, or in a specific area. The Text Mining is a technique that consists in retrieving information from text files. In the Medical Field, the Data Mining and Text Mining solutions can help to prevent the occurrence of certain events to a patient. This project involves the use of Text Mining to predict the Brain Death by using the X-Ray clinical notes. This project is creating reliable predictive models with non-structured text. This project was developed using real data provided by Centro Hospitalar do Porto. The results achieved are very good reaching a sensitivity of 98% and a specificity of 88%. © 2017, Springer International Publishing AG.