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
-
Updated
Jul 24, 2017 - Python
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
A web API that predicts if a patient has a heart disease or not
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.
Medcroft, a medical services fork of Jarbas, a fork of Mycroft
DES for healthcare units
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…
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.
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.
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.
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
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.
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 …
PatientINF embedding models - with forum extraction and model building scripts.
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.
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.
Add a description, image, and links to the patient topic page so that developers can more easily learn about it.
To associate your repository with the patient topic, visit your repo's landing page and select "manage topics."