Machine learning approaches to lung cancer prediction from mass spectra

10.1002/pmic.200300523 ◽

2003 ◽

Vol 3 (9) ◽

pp. 1716-1719 ◽

Author(s):

Melanie Hilario ◽

Alexandros Kalousis ◽

Markus Müller ◽

Christian Pellegrini

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Mass Spectra ◽

Learning Approaches ◽

Cancer Prediction

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Comparison of Conventional and Automated Machine Learning approaches for Breast Cancer Prediction

10.1109/icirca51532.2021.9544863 ◽

2021 ◽

Author(s):

Akaramuthalvi J B ◽

Suja Palaniswamy

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Learning Approaches ◽

Cancer Prediction ◽

Automated Machine Learning

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Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach

IEEE Access ◽

10.1109/access.2018.2886604 ◽

2019 ◽

Vol 7 ◽

pp. 4232-4238 ◽

Author(s):

Jayadeep Pati

Keyword(s):

Gene Expression ◽

Machine Learning ◽

Lung Cancer ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Machine Learning Techniques ◽

Cancer Prediction ◽

Early Lung Cancer ◽

Learning Techniques

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Implementation of Machine Learning in Lung Cancer Prediction and Prognosis: A Review

10.1007/978-981-16-4284-5_20 ◽

2021 ◽

pp. 225-231

Author(s):

Afsha Jaweed ◽

Farheen Siddiqui

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Cancer Prediction

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Improving the Performance of Lung Cancer Prediction Using Machine Learning Techniques on Big Data

International Journal of Computer Science and Mobile Computing ◽

10.47760/ijcsmc.2020.v09i10.008 ◽

2020 ◽

Vol 9 (10) ◽

pp. 64-72

Author(s):

Dr. M. Kasthuri ◽

M. Riyana Jency

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Big Data ◽

Machine Learning Techniques ◽

Cancer Prediction ◽

Learning Techniques

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BREAST CANCER PREDICTION USING MACHINE LEARNING APPROACHES

JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES ◽

10.26782/jmcms.2019.12.00012 ◽

2019 ◽

Vol 14 (6) ◽

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Learning Approaches ◽

Cancer Prediction

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Abstract 1593: Genetic interactions in lung cancer using machine-learning approaches in genome-wide association studies

10.1158/1538-7445.am2019-1593 ◽

2019 ◽

Author(s):

Jinyoung Byun ◽

Younghun Han ◽

Christopher I. Amos

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Association Studies ◽

Genetic Interactions ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Learning Approaches ◽

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P1.11-05 Genetic Architecture of Lung Cancer Using Machine-Learning Approaches in Genome-Wide Association Studies

Journal of Thoracic Oncology ◽

10.1016/j.jtho.2019.08.1078 ◽

2019 ◽

Vol 14 (10) ◽

pp. S516-S517

Author(s):

J. Byun ◽

Y. Han ◽

J. Edelson ◽

Q. Ostrom ◽

C. Amos

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Genetic Architecture ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Learning Approaches ◽

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SU-D-137-01: Prediction of Multi-Categorical Radiation Pneumonitis Status in Lung Cancer Patients Using Machine Learning Approaches

Medical Physics ◽

10.1118/1.4814004 ◽

2013 ◽

Vol 40 (6Part3) ◽

pp. 101-102

Author(s):

J Oh ◽

J Bradley ◽

J Deasy

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Cancer Patients ◽

Radiation Pneumonitis ◽

Learning Approaches ◽

Lung Cancer Patients

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Abstract 1593: Genetic interactions in lung cancer using machine-learning approaches in genome-wide association studies

10.1158/1538-7445.sabcs18-1593 ◽

2019 ◽

Author(s):

Jinyoung Byun ◽

Younghun Han ◽

Christopher I. Amos

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Association Studies ◽

Genetic Interactions ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Learning Approaches ◽

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Lung Cancer Prediction using Machine Learning: A Comprehensive Approach

2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) ◽

10.1109/icimia48430.2020.9074947 ◽

2020 ◽

Author(s):

Syed Saba Raoof ◽

M A. Jabbar ◽

Syed Aley Fathima

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Comprehensive Approach ◽

Cancer Prediction

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