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Deep Learning, Machine Learning, Knowledge Discovery, Big Data

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Works (10)

Deep mining for determining cancer biomarkers

HealthManagement. org-The Journal
2022 | Magazine article
Contributors: Abeer Alzubaidi
Source: Self-asserted source
Abeer Alzubaidi

Deep Mining from Omics Data

2022 | Book chapter
Contributors: Abeer Alzubaidi; Jonathan Tepper
Source: check_circle
Crossref

mRNA Biomarkers for Invasive Breast Cancer based on a Deep Feature Selection Approach

Journal of Biomedical Research and Environmental Sciences
2022-10-13 | Journal article
Contributors: Abeer Alzubaidi
Source: Self-asserted source
Abeer Alzubaidi

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends

Applied Intelligence and Informatics
2021 | Book chapter
Part of ISBN: 9783030822682
Part of ISBN: 9783030822699
Part of ISSN: 1865-0929
Part of ISSN: 1865-0937
Source: Self-asserted source
Abeer Alzubaidi
grade
Preferred source (of 2)‎

Evolutionary and deep mining models for effective biomarker discovery. PhD, Nottingham Trent University.

2020-06-24 | Dissertation or Thesis
Source: Self-asserted source
Abeer Alzubaidi

A novel deep mining model for effective knowledge discovery from omics data

Artificial Intelligence in Medicine
2020-04 | Journal article
Part of ISSN: 0933-3657
Source: Self-asserted source
Abeer Alzubaidi
grade
Preferred source (of 2)‎

Challenges in developing prediction models for multi-modal high-throughput biomedical data

Advances in Intelligent Systems and Computing
2018 | Book
EID:

2-s2.0-85057097996

Part of ISBN:

21945357

Contributors: Alzubaidi, A.
Source: Self-asserted source
Abeer Alzubaidi via Scopus - Elsevier

A multivariate feature selection framework for high dimensional biomedical data classification

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
2017-08 | Conference paper
Source: Self-asserted source
Abeer Alzubaidi
grade
Preferred source (of 2)‎

Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information

2016 | Conference paper
Source: Self-asserted source
Abeer Alzubaidi
grade
Preferred source (of 2)‎

A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer

2016 IEEE Symposium Series on Computational Intelligence (SSCI)
2016-12 | Conference paper
Source: Self-asserted source
Abeer Alzubaidi
grade
Preferred source (of 2)‎