Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.

Background: Chronic obstructive pulmonary disease (COPD) poses a large burden on health care. Severe COPD exacerbations require emergency department visits or inpatient stays, often cause an irreversible decline in lung function and health status, and account for 90.3% of the total medical cost related to COPD.

Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study.

Background: For several major chronic diseases including asthma, chronic obstructive pulmonary disease, chronic kidney disease, and diabetes, a state-of-the-art method to avert poor outcomes is to use predictive models to identify future high-cost patients for preemptive care management interventions. Frequently, an American patient obtains care from multiple health care systems, each managed by a distinct institution. As the patient's medical data are spread across these health care systems, none has complete medical data for the patient.

Racial/Ethnic Disparities in Clinical Grading in Medical School.

Performance during the clinical phase of medical school is associated with membership in the Alpha Omega Alpha Honor Medical Society, competitiveness for highly selective residency specialties, and career advancement. Although race/ethnicity has been found to be associated with clinical grades during medical school, it remains unclear whether other factors such as performance on standardized tests account for racial/ethnic differences in clinical grades. Identifying the root causes of grading disparities during the clinical phase of medical school is important because of its long-term impacts on the career advancement of students of color.