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Héctor Mesa

University of Málaga

18

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138

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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

2021 European Journal of Cancer
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Prediction of early progression (EP) to CDKIs first line treatment in ER+/HER2- metastatic breast cancer (MBC) using machine learning.

2020 Journal of Clinical Oncology
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Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm

2019 Neural Computing and Applications
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Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme

2017 IWANN | International Work-Conference on Artificial and Natural Neural Networks
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PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers

2011 HEALTHINF | International Conference on Health Informatics
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Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers

2010 IEEE Transactions on Medical Imaging
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Tissue Recognition for Pressure Ulcer Evaluation

2009
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Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks

2009 AmI | Ambient Intelligence
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A Hybrid Approach for Tissue Recognition on Wound Images

2008 HIS | International Conference Hybrid Intelligent Systems
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2008 Special Issue: Imprecise correlated activity in self-organizing maps of spiking neurons

2008 Neural Networks
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Citations (3)