Conceptualizing health and illness through word embeddings
Conceptualizing health and illness through word embeddings launched on March 6, 2016 with 11 votes, #1,998 of 4,409 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This tool uses word embeddings to explore how health and illness are conceptualized and understood through language patterns. It analyzes the relationships between words associated with medical and health concepts, helping researchers and curious users visualize linguistic connections in healthcare terminology. The application is designed for those interested in computational linguistics, medical language analysis, or how concepts relate in data-driven ways.
written from the facts on this page · September 2026
Does a similar job
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As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
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