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added indentations #5

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25 changes: 11 additions & 14 deletions README.md
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Expand Up @@ -41,13 +41,13 @@ For the feature extraction process, we need to introduce the concept of time win
Then we have preprocessed the entire dataframe according to each of these time differences. So we have processed data for 2 hours before sepsis with 6 hours of training data, 4 hours before with 6 hours of training data and so on so forth. We have seven physiological variables data streams for 5 diffenet sub window. We then extracted 7 statistical features from each of the original 7*5 data streams. <br>
They are:
<ul>
<li>Standard Deviation</li>
<li>Kurtosis</li>
<li>Skewness</li>
<li>Mean </li>
<li>Minimum</li>
<li>Maximum</li>
<li>RMS_Difference</li>
<li>Standard Deviation</li>
<li>Kurtosis</li>
<li>Skewness</li>
<li>Mean </li>
<li>Minimum</li>
<li>Maximum</li>
<li>RMS_Difference</li>
</ul>
Therefore the net features extracted are 49*5.

Expand All @@ -58,25 +58,22 @@ We have tested our model on differnt models, some of them are Temporal Convoluti
## Code Description
<b><i>NOTE: All the required pyhton scripts are in Final Code folder. And before using any of the python scripts listed in this project, make sure the data is formatted according the eICU schema. Only then, will it work as intended.</i></b>
<ul>
<li><b>Normalization.py</b></li>
<li><b>Normalization.py</b></li>
<ul>

The script normalize the vital columns of the dataset.
</ul>
<li><b>Medication.py</b></li>
<li><b>Medication.py</b></li>
<ul>
The script creats a python dictionary which has the pataient wise data for the time offset when the pataient was given antipyretic doses.
</ul>
<li><b>Preprocessing.py</b></li>
<li><b>Preprocessing.py</b></li>
<ul>
The script takes vital data of pataients and saves the features extracted from the data.
</ul>
<li><b>Models.py</b></li>
<li><b>Models.py</b></li>
<ul>
The script takes the data created by Preprocessing.py and feed it to different models, so that we can compare differerent models on the basis of F1 score and AUROC score models are getting.
</ul>

</ul>

## Team
<table align="center">
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