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Table of Contents

  1. Installation
  2. Project Motivation
  3. File Descriptions
  4. Results
  5. Licensing, Authors, and Acknowledgements

Installation

All the necessary libraries to run the code were already available in Anaconda distribution of Python. This script was written using Python version 3.*.

Project Motivation

For this project, I was interested in using text mining techniques to extract different types of date formats from medical records, standardizing them to a single format and ordering them in ascending chronological order.

File Descriptions

  1. Notebook - Jupyter Notebook with the script developed for extracting dates from the medical records.
  2. Txt file - a copy of the medical record used for this notebook.
  3. Licensing - MIT License covering this project.

Results

The result is a pandas Series with the index of the dates extracted in ascending chronological order.

Licensing, Authors, Acknowledgements

Credits must be given to the University of Michigan for making the data available along in its Applied Text Mining in Python course available in Coursera platform.

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It uses text mining techniques to extract dates in different formats from medical records.

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