Megha-Bose/Disease-NER
Given a medical diagnosis, identifying medical conditions within the text through named entity linking and mapping them to standardized medical encodings using BERT based models. Task: https://temu.bsc.es/distemist/
This project helps medical professionals, researchers, or data analysts to automatically identify medical conditions mentioned within clinical texts, such as patient diagnoses or research papers. It takes unstructured medical text as input and outputs a list of identified diseases, linked to standardized medical codes like SNOMED CT. This helps streamline the process of extracting and standardizing disease information for analysis or record-keeping.
No commits in the last 6 months.
Use this if you need to automatically extract and standardize disease mentions from large volumes of unstructured medical text.
Not ideal if you are looking for a tool to identify non-disease medical entities or if your primary need is for manual annotation.
Stars
9
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 18, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Megha-Bose/Disease-NER"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yuzhimanhua/Multi-BioNER
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
AstraZeneca/KAZU
Fast, world class biomedical NER
mukhal/xlm-roberta-ner
Named Entity Recognition with Pretrained XLM-RoBERTa
SapphireFang1998/ANCHOLIK-NER-A-Benchmark-Dataset-for-Bangla-Regional-Named-Entity-Recognition
Our paper, titled 'ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity...
cdliai/ottoman-ner
Ottoman Language Name Entity Recognition toolkit