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José M. Jerez

University of Málaga

100

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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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Deep neural networks architecture driven by problem-specific information

2021 Neural Computing and Applications
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Transformers for Clinical Coding in Spanish

2021 IEEE Access
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ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT.

2020
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ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT.

2020
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Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data

2020 PLOS ONE
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Abstract P1-10-26: Gene expression levels of DTX3, CACNA1G, IL11, ETV4 and TSPAN7 selected by LASSO penalty regression could predict pCR after neoadjuvant chemotherapy in breast cancer tumors

2020 Cancer Research
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CDK4/6 inhibitors and hormone therapy in hormone receptor-positive advanced breast cancer: Real-world data and intrinsic subtypes defined by PAM50.

2020 Journal of Clinical Oncology
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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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Different Pathological Complete Response Rates According to PAM50 Subtype in HER2+ Breast Cancer Patients Treated With Neoadjuvant Pertuzumab/Trastuzumab vs. Trastuzumab Plus Standard Chemotherapy: An Analysis of Real-World Data

2019 Frontiers in Oncology
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