This is a fine-tuned version of Mistral-7B-Instruct-v0.3 specialized for blood pressure assessment and medical consultation. The model acts as an intelligent medical assistant that:

✅ Analyzes blood pressure readings
✅ Asks relevant follow-up questions based on BP levels
✅ Provides personalized medical guidance
✅ Handles various scenarios (with/without patient context)
✅ Never hallucinates information - only responds to what the patient shares
✅ Recognizes emergency situations (hypertensive crisis)

Model Type

LoRA Adapter

Training Details

Base Model: mistralai/Mistral-7B-Instruct-v0.3
Dataset: TesterColab/MIMICDB (880 clinical examples)
Training Method: LoRA (Low-Rank Adaptation)
Training Scenarios:
1. BP reading only (model asks questions)
2. BP with patient context (model uses provided information)
3. Speech-to-text variations

Usage

Installation

pip install transformers torch peft accelerate

Basic Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load model
model_id = "TesterColab/mistral-finetuned-v3"
base_model_id = "mistralai/Mistral-7B-Instruct-v0.3"

tokenizer = AutoTokenizer.from_pretrained(model_id)
base_model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map='auto', torch_dtype=torch.float16)
model = PeftModel.from_pretrained(base_model, model_id)

# Use the model
prompt = """<s>[INST] You are a medical doctor. A patient shares their blood pressure reading. Analyze it and respond appropriately - if abnormal, ask relevant questions; if normal, provide encouragement. Never assume information the patient hasn't told you.

Patient: My blood pressure is 145 over 95 [/INST]

"""

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=300, temperature=0.7, top_p=0.9)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response.split('[/INST]')[-1].strip())

Example Conversations

Example 1: Normal BP

User: My blood pressure is 115 over 75
Assistant: Your blood pressure reading of 115/75 mmHg is within the normal range - that's great! To maintain this healthy blood pressure, continue with regular exercise, a balanced diet low in sodium, maintain a healthy weight, limit alcohol, and manage stress. Keep monitoring it regularly.

Example 2: High BP - Asks Questions

User: 145 over 95
Assistant: Your blood pressure reading of 145/95 indicates Stage 2 hypertension. To help you properly, I need to understand your health better. Can you tell me: Do you smoke? How often do you exercise? Do you have any family history of heart disease or stroke? Are you currently taking any medications?

Example 3: With Context

User: My BP is 130 over 85 and I smoke
Assistant: Your blood pressure reading of 130/85 shows Stage 1 hypertension, and smoking is a significant risk factor that can worsen this. I need to understand more: How much do you smoke per day? How long have you been smoking? Have you tried to quit before? Also, tell me about your exercise routine and diet.

Intended Use

🏥 Health monitoring applications
📱 Mobile health assistants
💬 Conversational health bots
🩺 Telemedicine support tools

Limitations

⚠️ Important Medical Disclaimer:

This model is for informational purposes only
NOT a replacement for professional medical advice
Always consult healthcare professionals for medical decisions
In emergencies (chest pain, severe symptoms), seek immediate medical care
Model may occasionally generate incorrect medical information

Ethical Considerations

Trained to recognize emergency situations
Asks appropriate follow-up questions
Does not assume or hallucinate patient information
Provides general guidance, not diagnoses
Encourages seeking professional medical care when appropriate

Training Data

Trained on the MIMICDB dataset containing clinical blood pressure readings with patient context including:

Age groups
Smoking status
Pregnancy status
Activity levels
Diet information
ABP (Arterial Blood Pressure) measurements

Performance

The model has been trained to handle multiple scenarios:

✅ BP readings without context → Asks appropriate questions
✅ BP readings with patient info → Uses provided context
✅ Emergency situations → Recognizes and advises immediate care
✅ Normal readings → Provides encouragement and maintenance tips

Citation

bibtex

@model{mistral-bp-doctor,
  author = {TesterColab},
  title = {Mistral-7B Blood Pressure Medical Assistant},
  year = {2024},
  publisher = {HuggingFace},
  url = {https://huggingface.co/TesterColab/mistral-finetuned-v3}
}

License

Apache 2.0 (inherits from Mistral-7B-Instruct-v0.3)

Contact

For questions or issues, please open an issue on the model repository.

Built with ❤️ for better health monitoring