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claimclarity's Projects

ask-fsdl icon ask-fsdl

Document Q&A over The Full Stack's Corpus

biobert icon biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

cb-reasoner icon cb-reasoner

Automatically exported from code.google.com/p/cb-reasoner

chatgpt-next-web icon chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

cogstack-semehr icon cogstack-semehr

Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research

cpt_icd_fetcher icon cpt_icd_fetcher

Fetches CPT and ICD-11 codes using NLP and the ICD API for submitting prior authorizations or orders for medical procedures

db-gpt icon db-gpt

Revolutionizing Database Interactions with Private LLM Technology

frictionless-ci icon frictionless-ci

Data management service that brings continuous data validation to tabular data in your repository via Github Action

geojs icon geojs

High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets

instagraph icon instagraph

Converts text input or URL into knowledge graph and displays

markup icon markup

A web-based document annotation tool, powered by GPT-4 :rocket: - Forked from @samueldobbie

medikanren icon medikanren

Proof-of-concept for reasoning over the SemMedDB knowledge base, using miniKanren + heuristics + indexing.

medtag-core icon medtag-core

This repository contains the complete source code of the MedTAG annotation tool. MedTAG is a biomedical annotation tool for tagging biomedical concepts in clinical reports.

metamap icon metamap

A short tutorial to map biomedical free-text into UMLS concepts using MetaMap

ndc_map icon ndc_map

Mapping U.S. FDA National Drug Codes (NDC) to Drug Classes and Codes

neo4j-faker icon neo4j-faker

Use faker cypher functions to generate demo and test data with cypher

nlpbiopretext icon nlpbiopretext

All the goto functions you need to handle NLP use-cases for clinical doman, integrated in NLPretext

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