A web API that predicts if a patient has a heart disease or not
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Updated
Mar 27, 2019 - Python
A web API that predicts if a patient has a heart disease or not
Data and code for the experiments in: "Measuring Thematic Fit with Distributional Feature Overlap". Enrico Santus, Emmanuele Chersoni, Alessandro Lenci and Philippe Blache. EMNLP 2017
PatientINF embedding models - with forum extraction and model building scripts.
It is important not to split images of the same patient between the test and train sets to avoid overfitting. This repository splits a sample Covid/Normal classification dataset into test and train sets in a patient aware and stratified manner.
MASTA is a social network that connects doctors and patients from all over the world, in order to help solve everyday health problems and build a healthier world.
This project leverages GPT-3.5 to synthesize medical records, aiming to provide a compliant solution for researchers needing access to patient data while respecting privacy laws like HIPAA and GDPR.
In this project, we will create a deep learning model trained on EHR data (Electronic Health Records) to find suitable patients for testing a new diabetes drug.
voice prescription : A Doctor will be able to dictate his prescription to the patient while talking to his phone or PC running windows. Following key words need to be tagged. eg: name, age, symptoms, medicines. Doctor will say one or more of keywords. • For all keywords data will be captured discreetly. • Doctor will be able to edit / delete by …
This is an ETL pipeline project to handle large volumes of transaction data for our client. It was built using Python, SQL, and AWS for Generation's Data Engineering boot camp final group project
Medcroft, a medical services fork of Jarbas, a fork of Mycroft
AWS HealthLake patient matching with AWS Entity Resolution.This Guidance shows how to use AWS Entity Resolution to perform patient entity resolution on healthcare data stored in AWS HealthLake.
Calculation of Patient Similarity based on Patient Demographic and Case Details extracted from XML annotations, Electronic Health Record (EHR) Project for Grand Finale of Smart India Hackathon 2019 for the Problem statement by EzDI in which we made a system for assessment of similarity between patient using vector concatenation techniques.
Built a GUI application using Tkinter that helps Doctors to prepare prescriptions more efficiently. This uses speech to text conversion and text extraction to prepare prescriptions in the correct format. This project is submitted for Smart India Hackathon 2020.
voice prescription : A Doctor will be able to dictate his prescription to the patient while talking to his phone or PC running windows. Following key words need to be tagged. eg: name,age, symptoms,medicines. Doctor will say one or more of keywords. • For all keywords data will be captured discreetly. • Doctor will be able to edit / delete by vo…
DES for healthcare units
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