JCO Clinical Cancer Informatics
A peer-reviewed medical journal focusing on cancer informatics
JCO Clinical Cancer Informatics is a peer-reviewed medical journal that focuses on the field of cancer informatics. It is published by the American Society of Clinical Oncology (ASCO) and provides a platform for the dissemination of research and developments in the application of informatics to cancer care and research.
Overview[edit | edit source]
JCO Clinical Cancer Informatics was established to address the growing need for a dedicated forum for the exchange of information and ideas in the rapidly evolving field of cancer informatics. The journal publishes original research articles, reviews, and editorials that cover a wide range of topics related to the use of informatics in oncology.
The journal aims to bridge the gap between clinical oncology and informatics, providing insights into how data and technology can be leveraged to improve cancer care. It serves as a resource for oncologists, researchers, and informaticians who are interested in the application of data science to oncology.
Scope[edit | edit source]
The scope of JCO Clinical Cancer Informatics includes, but is not limited to:
- Bioinformatics and computational biology in cancer research
- Clinical decision support systems
- Electronic health records and data integration
- Machine learning and artificial intelligence in oncology
- Genomics and personalized medicine
- Health information technology and its impact on cancer care
- Data sharing and privacy issues in cancer research
Editorial Process[edit | edit source]
The journal employs a rigorous peer-review process to ensure the quality and relevance of its publications. Manuscripts submitted to JCO Clinical Cancer Informatics are evaluated by experts in the field, and decisions are made based on the originality, significance, and clarity of the research.
Publication Frequency[edit | edit source]
JCO Clinical Cancer Informatics is published on a continuous basis, allowing for timely dissemination of research findings. This publication model supports the rapid evolution of the field and ensures that new developments are quickly accessible to the scientific community.
Related Pages[edit | edit source]
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