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## [Content](#content)
<table>
<tr><td colspan="2"><a href="#tool-related">1. Tool related</a></td></tr>
<tr><td colspan="2"><a href="#theory">1. Theory</a></td></tr>
<tr>
<td>&emsp;<a href="#machine-learning-theory">1.1 Machine Learning</a></td>
<td>&ensp;<a href="#deep-learning-theory">1.2 Deep Learning</a></td>
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<td>&emsp;<a href="#radiomics-theory">1.3 Radiomics</a></td>
<td></td>
</tr>
<tr><td colspan="2"><a href="#application-related">2. Application related</a></td></tr>
<tr><td colspan="2"><a href="#application">2. Application</a></td></tr>
<tr>
<td>&emsp;<a href="#machine-learning">2.1 Machine Learning</a></td>
<td>&ensp;<a href="#deep-learning">2.2 Deep Learning</a></td>
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<tr><td colspan="2"><a href="related-research-platform">3. Related Research Platform</a></td></tr>
</table>
## [Tool related](#content)
## [Theory](#content)
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## [Application related](#content)
## [Application](#content)
### [Machine Learning](#content)
1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018)