Anpassungen der README
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README.md
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README.md
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@ -60,6 +60,48 @@ This project was implemented in Python. To use the project, all packages listed
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- Demographic data was plotted
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- Demographic data was plotted
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- Start exploring signal processing
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- Start exploring signal processing
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#### Hypothesen
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The following two hypotheses were applied in this project:
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- Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%.
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- Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups.
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The procedure was as follows:
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1.
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4.
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### Demographic plotted
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#### Correlation matrix
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The following figure shows a correlation matrix of age groups and diagnoses. This matrix describes the four diagnosis groupings on the horizontal axis and the age groupings in decade increments on the vertical axis.
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The colour scale represents the correlation between the two types of categorization:
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- Blue (low)
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- Red (high)
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The exact procedure for creating the matrix can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
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![Alt-Text](readme_data/Korrelationsmatrix.png)
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#### Histogramm
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The following histogram shows the age distribution. It illustrates the breakdown of the grouped diagnoses by age group as well as the absolute frequencies of the diagnoses.
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The exact procedure for creating the histogram can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb).
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![Alt-Text](readme_data/Histogramm.png)
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## Contributing
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## Contributing
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- coming at the end of the Project...
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- coming at the end of the Project...
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