AI-Driven Classification of External Diseases in Cattle

Hello Researcher,

I hope you are doing well. I can see the process of handling the disease for the body, but I can't see that it's handled properly. I have feedback on this research to improve the diagnosis process of the disease. Which is not there in the research paper. Please try to improve because this is one important key factor to identify the disease

If you can do some process like this, then it will be easy to handle the healthcare as per your research.

This is an example of the pipeline of the algorithms.

Data Collection

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- Collect patient data: symptoms, test results, imaging, EHRs
- Ensure anonymization and HIPAA/GDPR compliance

Data Preprocessing

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- Clean missing data
- Normalize test values
- Encode categorical variables
- Extract features from images using CNNs

: Model Training

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- Split data into train/test sets
- Choose algorithm (e.g., XGBoost for lab tests, CNN for imaging)
- Train model on labeled diagnosis data
- Validate with cross-validation

Model Evaluation

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- Use metrics: Accuracy, Precision, Recall, AUC-ROC
- Avoid overfitting, check generalizability

Diagnosis Prediction

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- Deploy model in a hospital system or app
- New patient data → real-time disease prediction

Decision Support

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- Output diagnosis probability or recommendation
- Suggest additional tests or flag urgent cases

Please let me know. If you have any questions. this paper needs lots of improvements.