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NLP-Patient-summary

Natural language processing used for calculating a patient readmission probability.

Patient-Summary! helps in finding the readmission probability of a patient with short summary of text.

  • Easy to Generate New Model apt to requirements.
  • Adaptable colab iterface for fast computing.
  • East understanding of every step.
  • Latent semantic analyser for summary generation.

▶️ Download the dataset and python notebook

  • Admissions.csv

▶️ Perform following steps to run the code

  • Open using google colab for basic installed libraries.
  • Run each cell to get the output for next steps.
  • The probability more than 0.5 indicates that the patient must be readmitted else not.
  • The LSA also generates a short summary of the text field for each patient.

Accepts patient number before calculating the results.

Enter the patient number for which you want the readmission probability and summary of the issue: 111

The probability of readmitting patient number 111 is --> 0.5091727115353961

The summary of patient number 111 is --> The left anterior descending has 30 to 40% narrowing with tortuosity in its proximal portion, patent first septal perforator branch.