Patient Satisfaction Through Interpretable Machine Learning Approach

In Patient satisfaction, the most important factor in assessing the quality is patient happiness. The happiness key factor impacts the health policy decisions. An individual’s specific health requirements, individualised treatment, and desired health results are of the utmost importance in the period of patient-centered care. Across the past decade, treatment delivery, management, and reimbursement practices have all been impacted by patient satisfaction as a clear insight and quality management of patient experiences. Using machine learning algorithms, the most relevant factors for patient satisfaction are founds.