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Jaya Chaturvedi

Annotation Guidelines:

This is the latest version of annotation guidelines that were used in the development of a 
corpus annotated with medications and their attributes in Psychiatric Health Records. 

Credits to Natalia Viani and Sumithra Velupillai

eHOST folder:

getContent_attahcments.py - To get documents from SQL db

getDocuments.py -  To split documents from SQL db into batches for upload into eHOST for 
annotations

Credits to Natalia Viani, Andre Bittar

HealTAC folder:

PDF of poster presented at HealTAC in April 2019, short paper and poster presented at HealTAC in April 2020

Credits to Natalia Viani, Sumithra Velupillai and Angus Roberts

Jaya's Projects

ampligraph_dev icon ampligraph_dev

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

covid-19 icon covid-19

HDR UK - Resources for COVID-19 Research

deeplearningnlp icon deeplearningnlp

Lecture notes on Deep Learning for NLP | focus on medical applications

dental_disorders icon dental_disorders

Predicting admissions due to dental disorders in patients with severe mental illnesses using statistical and machine learning approaches

ehost icon ehost

eHOST: The Extensible Human Oracle Suite of Tools an open source annotation tool (With UX improvements)

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

hdruk_appliedml icon hdruk_appliedml

This repository contains code and supporting material for the HDRUK Summer School Course on Applied Deep Learning, August 22nd 2019

jaya_s_zoo icon jaya_s_zoo

This repository has been created during a workshop

ker icon ker

Knowledge graph based EHR reasoning system

markup icon markup

A web-based text annotation tool, powered by active learning :rocket:

medcat icon medcat

Annotate medical documents for UMLS concepts - Medications, Diseases, Symptoms...

medcattrainer icon medcattrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

medications_application icon medications_application

Medications application development to extract mentions of meds and their attributes from free-text of EHRs

pain_kge_model icon pain_kge_model

knowledge graph embedding models built using pain concepts linked to SNOMED-CT relations

pain_lexicon icon pain_lexicon

exploration of pain in EHRs and development of a pain vocabulary

sample_size_in_healthcare_nlp icon sample_size_in_healthcare_nlp

This repository lists out the codes and queries used in conducting a simulation to make recommendations on sample sizes for training data used in healthcare NLP.

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