Clinical NER (problem, test, treatment)
Token-classification model that tags the three core i2b2 clinical entity types in patient notes: problem, test and treatment. Given a sentence from a discharge summary or progress note it marks which spans are medical problems, which are diagnostic tests and which are treatments or medications.
Clinical NER (problem, test, treatment) 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 NER (problem, test, treatment) 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-ner-problem-test-treatment", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("clinical-ner-problem-test-treatment", [
{ 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-ner-problem-test-treatment", [
{ 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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