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features more carefully, which significantly improved the model's accuracy

and reliability in real-world scenarios. This pivotal objective was

accomplished in the implementation phase of the project.

6.1.3 Third Objective

The developed system underwent a thorough evaluation in a comprehensive
user acceptance testing phase to gauge its effectiveness. This critical phase

engaged a varied group of participants, encompassing individuals with

medical backgrounds. They provided valuable feedback on various aspects
such as the system's usability, the dashboard, the interpretability of its

predictions, and their overall satisfaction with the web application. The
predominantly positive feedback highlighted the system's capability to

effectively connect advanced machine learning techniques with practical,
user-friendly applications.

However, this phase was not without its challenges. One notable obstacle was

recruiting participants with medical backgrounds for the testing, which

proved to be a significant hurdle. Additionally, after the testing instruments
were distributed, the response rate was lower than expected, presenting

another challenge in obtaining a comprehensive evaluation. Despite these

obstacles, the objective of testing the system for user acceptance was
successfully achieved during the testing phase. Through perseverance and

adaptation to these challenges, the researcher managed to gather enough
feedback to affirm the system's effectiveness and user satisfaction, ultimately

fulfilling a crucial step in the project's development process.

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