max232003/cbc_analyzer_v0

CBC AI Checker

This is a machine learning model designed to analyze Complete Blood Count (CBC) test results and flag potential anomalies or inconsistencies for further human review.

🔬 Use Case

Laboratories and clinics can use this model to assist in automating the pre-validation process of CBC results, helping save time and reduce human error.

🧠 Model

• Type: RandomForestClassifier
• Trained on: synthetic/real CBC data
• Input: numeric CBC values
• Output: classification (normal / suspicious)

📦 File

• cbc_ai_model.pkl: Serialized model using joblib

📥 Usage

from huggingface_hub import hf_hub_download
import joblib

model_path = hf_hub_download(repo_id="max232003/cbc_analyzer_v0", filename="cbc_ai_model.pkl")
model = joblib.load(model_path)