Optimized Doctor Recommendation System using Supervised Machine Learning

What is it about?

We offer a framework to recommend doctors based on the similarity score and doctor’s skill score, which utilizes weight prediction to enhance operational efficiency. Additionally, on real-world datasets, the effectiveness of the proposed framework is demonstrated empirically by lowering the average loss by roughly 34% and 3% as compared to Convolutional Neural Network (CNN) and Support Vector Machine (SVM), respectively. The outcome demonstrates that the algorithm can efficiently recommend doctors to patients compared to state-of-the-art techniques. This analysis technique aid patients in opting for the right doctor.

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Photo by National Cancer Institute on Unsplash

Photo by National Cancer Institute on Unsplash