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Identifying-Patients-with-Diabetic-Complications-Using-Clinical-NLP

I developed this project as a peer assignment for Clinical Natural Language processing Course of Clinical Data Science Specialisation on Coursera.

Dataset

MIMIC-3 demo dataset of 130 hospital admission representing 100 patients.

Programming Language and Software

R through R studio pro.

Access

Authorized access only through the course portal in collaboratin with Google.

Details are available in the presentation file

see all details about the model development process in the pptx file. https://github.com/ammsenosy/Identifying-Patients-with-Diabetic-Complications-Using-Clinical-NLP/blob/cd0bf16e97cb266574301bab66bc4a6f0302cd74/Identifying%20Patients%20with%20Diabetic%20Complications%20Using%20Clinical%20NLP.pptx