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Natural language processing and machine learning techniques to solve a breast cancer clinical trial ECOG-classification problem

Author

Reynoso Aguirre, Pablo Eliseo

Other authors

Rodríguez Hontoria, Horacio

Belanche Muñoz, Luis Antonio

Sànchez-Marrè, Miquel

Publication date

2018-04-16

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Abstract

Natural Language Processing and Machine Learning Framework to Predict Breast Cancer Participant's Profile in Clinical Trials based on ECOG/KPS Performance Status Scores using Structured Research Data from All over the world.

Document Type

Master thesis

Language

English

Subjects and keywords

Àrees temàtiques de la UPC::Informàtica; Natural language processing (Computer science); Machine learning; Bioinformatics; ECOG; KPS; ClinicalTrials.org; Python; Java; breast cancer; clinical trials; classification; multivariate regression; natural language processing; regular expressions; stop words removal; tokenization; lemmatization; text vectorization; feature SVD projections; prediction refining; problematic samples considerations; partial least squares; multilayer perception; linear models; non-linear models; models tuning; XML; Tractament del llenguatge natural (Informàtica); Aprenentatge automàtic; Bioinformàtica

Publisher

Universitat Politècnica de Catalunya

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Rights

Open Access

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Treballs acadèmics [82541]