Case 1 Mining Patterns in Children's Sleeping Disorders Business Problem: Sleep-disordered breathing (SDB) is a common and highly prevalent condition in children, affecting up to 27 percent of children, with a median in the 10 percent to 12 percent range. Rather than being an "all of nothing" condition, SDB is traditionally perceived as encompassing a wide spectrum of clinical severity ranging from habitual snoring to obstructive sleep apnea syndrome (OSAS). Analytical Approach: 247 Articles Associated with the Treatment and Outcomes of SDB. The research team is interested in identifying relevant patterns associated with existing research trends the objective is to index and mine these documents using singular value decomposition (SVD) with the intent of identifying logical patterns in the text, highlighting: New and interesting relationships Keep in mind that some relationships may be expected, while others may not. Unexpected relationships may help researchers form new hypotheses to test. Please submit your solution to CASE 1. Your submission should consist of a 1 page description of how you approached the problem, what tools or methods were used in solving the problem, and a short summary of your findings