# Medical Text Classification

A medical symptom diagnosis classification model fine-tuned based on bert-base-cased, used to predict 22 possible diagnoses from symptom descriptions

Bio_ClinicalBERT is a clinical text processing model based on the BERT architecture, specifically optimized for biomedical and clinical domain texts.

This is an auto-trained model for text classification in the healthcare domain, specifically focused on identifying content related to Social Determinants of Health (SDOH).

An AraBERT model pre-trained on 1.5 million multidialectal Arabic COVID-19 tweets, optimized for processing Arabic tweets related to the COVID-19 pandemic.

AraBERT model pre-trained on 1.5 million multi-dialect Arabic COVID-19 tweets, specialized for pandemic-related Arabic text tasks

Clinical BERT model initialized with BERT-Base or BioBERT for predicting ICD-10 codes.