Page 35 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470

 Accuracy: The system demonstrated an overall accuracy of 93.6%, highlighting its reliable performance in diagnosing and
classifying animal health status.
 Precision: The precision is 0.89, which means the system is less likely to return false positives, so if it predicts a case is
positive, this prediction coincides with a real positive case.
 Recall: Recall is 0.86, reflecting the ability of the system to flag true positive cases, therefore limiting the risk of undetected
conditions.
 F1 Score: With an F1 score of 0.88, a well-balanced performance has been achieved — optimizing precision, as well as
recall.
Training and Validation Analysis
Training & Validation Accuracy: The accuracy of the system improved with epochs during training and stabilized high.
Validation accuracy closely tracked the training accuracy, confirming generalizability of the system to unseen data
Training and Validation Loss The loss of training showed a continuous decrease as we proceed through the epochs, showing
good learning. Likewise, validation loss followed a downward trajectory, indicating that the model was not overfitting and
retained strong predictive power on unseen data.
Result Significance:
The performance of the proposed Smart Animal Care system highlights its transformative potential for veterinary diagnostics:
1. Enables accurate and automated predictions to lower diagnostic errors.
2. Efficiency gains are reducing the time between diagnosis and treatment leading to improved outcomes in animal health.
3. The scalability of the system ensures its applicability in both small and large veterinary practices.

Aligned with that the following is a comparison graph of 3. Cost Effectiveness: Smart technologies offer better cost
traditional methods deployed versus smart technologies benefits.
used in the veterinary practice based on the metrics - 4. Patient Outcomes: Significant improvement in animal
1. Smart technologies are way better than traditional ways recovery and care.
when it comes to the accuracy of diagnosis.
5. User Adoption: Adoption rates tend to be higher for
2. Hour Saving: Quicker operations with intelligent
smart technologies.
technologies.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 25