Clinical Assertion and Negation BERT
Text-classification model from Betty van Aken that decides whether a medical condition mentioned in a clinical note is present, absent or possible. The target entity is marked in the input with [entity] tags, and the model returns the assertion status. Built on Bio_ClinicalBERT and trained on the 2010 i2b2/VA assertion data.
Clinical Assertion and Negation BERT is text & chat AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.
About this model
0.7
Pricing
API Integration
Use our OpenAI-compatible API to integrate Clinical Assertion and Negation BERT into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
// Simple — just pass a string
const reply = await rw.run("clinical-assertion-negation-bert", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("clinical-assertion-negation-bert", [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);
// Full response with usage info
const res = await rw.chat("clinical-assertion-negation-bert", [
{ role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);Frequently asked questions
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