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Machine learning techniques in cancer prognostic modeling and performance assessment
Yiyi Chen, Jess A. Millar
School Of Public Health
Research output
:
Chapter in Book/Report/Conference proceeding
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Chapter
3
Scopus citations
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Dive into the research topics of 'Machine learning techniques in cancer prognostic modeling and performance assessment'. Together they form a unique fingerprint.
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Mathematics
Performance Assessment
100%
Machine Learning
68%
Cancer
64%
Modeling
40%
Model
20%
Progression
12%
Calibration
11%
Discrimination
11%
Tumor
11%
Decision Making
10%
Arrangement
10%
Metric
6%
Performance
6%
Social Sciences
performance assessment
72%
cancer
57%
informed treatment decisions
22%
learning
21%
clinical decisions
13%
learning method
10%
physician
7%
discrimination
7%
decision making
6%
performance
4%
Medicine & Life Sciences
Machine Learning
71%
Neoplasms
20%
Clinical Decision Support Systems
16%
Clinical Decision-Making
13%
Calibration
13%
Physicians
7%
Survival
6%
Therapeutics
2%