Malaria Detection System
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2023-08-11 23:15
SM ISO690:2012
GÎFU, Daniela. Malaria Detection System. In: Conference on Mathematical Foundations of Informatics, Ed. 2017, 9-11 noiembrie 2017, Chișinău. Chișinău, Republica Moldova: "VALINEX" SRL, 2017, pp. 74-78. ISBN 978‐9975‐4237‐6‐2.
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Conference on Mathematical Foundations of Informatics 2017
Conferința "Conference on Mathematical Foundations of Informatics"
2017, Chișinău, Moldova, 9-11 noiembrie 2017

Malaria Detection System


Pag. 74-78

Gîfu Daniela
 
Alexandru Ioan Cuza University of Iaşi
 
Disponibil în IBN: 19 martie 2018


Rezumat

Natural Language Processing (NLP) is a research area aimed at exploiting rich knowledge resources, in order to understand and identify concepts in standardized formats. In this paper, a prompt and reliable clinical-concept extraction procedure from a corpus of full-text academic articles, using a new text mining tool, is described. The goal of this study is to develop a framework for detecting malaria concept. This method can be useful to the direct beneficiaries (health professionals), but, also, researchers in the fields of BioNLP and NLP, etc.

Cuvinte-cheie
academic corpora, malaria concept, annotated medical corpora, clinical-concept extraction,

text mining