shivangraikar / nlp-patient-summary

Natural language processing project to calculate patient readmission probability and summary of notes.

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.

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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.