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Early Intervention in Substance Use Disorder in Health Care Professionals and Certification Board Involvement
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Combating Antimicrobial Resistance in Urinary Tract Infections: Understanding the Trends and Proposing Evidence-Based Interventions
No full textUnhealthy Alcohol Use: Improving Rates of Identification and Management in the Primary Care Setting
No full textKetamine Thearpy for PTSD and Addiction in the Primary Care Setting for Veterans and First Responders
No full textDiverse Perspectives on Breast Cancer Treatment Evaluating Surgical Approaches Across Psychological, Clinical, and Patient Preferences
No full textExploring the Cardiovascular Benefits of Racially Concordant Patient-Provider Relationships
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A New Tool for Visualizing Categorical Time Series Data
No full textIt is often necessary to analyze a sequence of non-numeric data in which each item in the sequence belongs to a predetermined category. A sequence of coin flips is an example. We have two categories – heads and tails. Each element in the sequence is either a head or a tail. Similarly, a book can be analyzed as a sequence of letters or words, a genetic sequence can be analyzed as a sequence of amino acids. Such data sets are often referred to as categorical time series data. We will demonstrate and describe the development of a tool for producing visualizations of categorical time series data. We will also describe some of the algorithms used to produce these visualizations and some optimizations developed to accommodate large datasets