Model Type: Deep Neural Network
Framework: TensorFlow/Keras
Input: 5 modalities (encounters, biochemistry, hematology, urinalysis, vitals)
Output: 12 disease probabilities

Diseases Detected

Healthy
Babesiosis
Ehrlichiosis
Chronic Kidney Disease
Acute Kidney Injury
Anemia (IMHA)
Urinary Tract Infection
Liver Disease
Diabetes Mellitus
Thrombocytopenia
Filariasis (Heartworm)
Pancreatitis

📁 Files

4_all_modalities_model.keras - Trained model
4_all_modalities_scaler.pkl - Feature scaler
4_all_modalities_features.json - Feature names
4_all_modalities_metrics.json - Performance metrics
metadata.json - Training metadata

🔗 Links

Live Demo: Coming soon on Hugging Face Spaces

👤 Author

Udavith-Reshanjana

🚀 Usage

python

from huggingface_hub import hf_hub_download
import tensorflow as tf
import pickle

# Download model
model_path = hf_hub_download(
    repo_id="Udavith-Reshanjana/vet-diagnostic-models",
    filename="4_all_modalities_model.keras"
)

# Load model
model = tf.keras.models.load_model(model_path)