Simonlee711/MedJev
https://huggingface.co/Simonlee711/MedJevMedJev is [OpenJev Flash 9B] adapted to medicine. This repository adds a zero-shot medical evaluation, Open MedJev: How Far Do Zero-Shot System-One Decisions Go in Medicine?
Sourced from
- HuggingFace — Simonlee711/MedJev
Related resources
MedDecider-31B is the flagship of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.
MedDecider-9B brings the family's training to a model that runs on a single mid-range GPU. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.
MedDecider-27B is the most robust mid-size member of the MedDecider family. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating text.
MedDecider-4B is the smallest member of the MedDecider family, for screening on modest hardware. Given a clinical state (a note, a trial record or any JSON) and a question with 2 to 10 answer options, it returns a calibrated probability for every option in a single scoring pass, without generating…
# Mr-Grammatology-clinical-problems-Mistral-7B-0.5 !image/png
The Clinical Assertion and Negation Classification BERT is introduced in the paper Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? . The model helps structure information in clinical patient letters by classifying medical conditions mentioned in the letter into…