Challenges and Opportunities: Integration of Data Science in Cancer Research Through A Literature Review Approach

Authors

  • Purwono Purwono Universitas Harapan Bangsa
  • Ariefah Khairina Islahati Universitas Harapan Bangsa
  • Yuslena Sari Universitas Lambung Mangkurat
  • Dewi Astria Faroek Universitas Muhammadiyah Sorong
  • Muhammad Baballe Ahmad Nigerian Defence Academy

DOI:

https://doi.org/10.59247/jahir.v1i3.167

Keywords:

Cancer, Treatment, Outcomes, Artificial Intelligence, Machine Learning, Challenges

Abstract

Several research articles in this journal relate to various aspects of cancer, such as treatment, patient outcomes, caregiver responsibilities, and the use of AI and liquid biopsy in cancer research. Covers a wide range of topics, including valuable insights into the latest developments in cancer research as well as potential future opportunities and issues. Several articles discuss the impact of non-coding RNA on gastric cancer, machine learning decision support systems for cancer survival factors, economic impact of cancer mortality, nausea in children diagnosed with cancer, protein-RNA variations in cancer clinical analysis, integration and proteomic data analysis in the context of cancer genomics, personalized cancer medicine, mass spectrometry-based clinical proteomics, cancer proteogenomics, subtype-based This journal provides an in-depth overview of various aspects of current cancer research and future research prospects

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2024-01-22

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Purwono, P., Ariefah Khairina Islahati, Yuslena Sari, Dewi Astria Faroek, & Muhammad Baballe Ahmad. (2024). Challenges and Opportunities: Integration of Data Science in Cancer Research Through A Literature Review Approach. Journal of Advanced Health Informatics Research, 1(3), 128–141. https://doi.org/10.59247/jahir.v1i3.167

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Vol. 1 No. 3 (2023)

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Articles

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Copyright (c) 2024 Purwono Purwono, Ariefah Khairina Islahati, Yuslena Sari, Dewi Astria Faroek, Muhammad Baballe Ahmad

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