Bigram feature extraction and conditional random fields model to improve text classification clinical trial document

A new classification model from the cancer clinical trial document text is proposed to compete with other methods in terms of precision, recall, and f-1 score. Classification of clinical trials text has been developed through several approaches such as statistical approaches [8]; eligibility screeni...

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Veröffentlicht in:	Telkomnika 2021-06, Vol.19 (3), p.886-892
Hauptverfasser:	Jasmir, Jasmir, Nurmaini, Siti, Malik, Reza Firsandaya, Tutuko, Bambang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cancer Classification Clinical trials Clustering Conditional random fields Datasets Deep learning Feature extraction Labeling Machine learning Neural networks Support vector machines Text categorization
Online-Zugang:	Volltext
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