Medical Speciality Classification from Clinical Notes

Mentor: Pravat Ranjan Jena

Problem Statement

The electronic medical records (EMRs) are the source of enormous amount of patients data such as lab test results, medical history, disease status, treatment out comes, side effects, etc. The processing of unstructured data captured in EMRs is quite complex problem though it has huge potential for clinical research. Employing medical staffs for finding insights from EMRs is quite expensive and sometimes prone to human errors. The objective of this project is to leverage machine learning to automate the process of medical speciality classification from clinical prescriptions

Data

Medical transcriptions dataset available in Kaggle can be used for this project

References

• Classification of medical specialty for text medical report based on natural language processing and deep learning (Sep 2022)
• Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach (Dec 2017)

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Last update: 2022-11-04