This study uses a nationally representative survey to identify the most expensive conditions in the United States and to examine the association between spending and disability. The most expensive conditions at a population level were ischemic heart disease and motor vehicle accidents; at the per capita level they were respiratory malignancies. There was not a significant association between ra...

Background: Over half of U.S. adults use vitamin or mineral supplements, and some are likely using supplements to treat chronic diseases or risk factors for disease. Information on the relationship between supplement use and medical conditions is useful to health professionals to understand the self-medication behavior of their patients, and important for researchers because medical conditions ...

As the healthcare industry becomes more reliant upon electronic records, the amount of medical data available for analysis increases exponentially. While this information contains valuable statistics, the sheer volume makes it difficult to analyze without efficient algorithms. By using machine learning to classify medical data, diagnoses can become more efficient, accurate, and accessible for t...

Andrew M. Kaunitz, MD OBG MANAGEMENT Board of Editors Professor and Assistant Chairman Department of Obstetrics and Gynecology University of Florida College of Medicine–Jacksonville Jacksonville, Fla D ecisive new data on risks and benefits of hormonal contraception will change how we manage many patients. These findings prompted the American College of Obstetricians and Gynecologists (ACOG) to...

With American children on course to grow into the most obese generation of adults in history, Sonia Caprio argues that it is critical to develop more effective strategies for preventing childhood obesity and treating serious obesity-related health complications. She notes that although pediatricians are concerned about the obesity problem, most are ineffective in addressing it. Treatment should...

BACKGROUND Cincinnati Children's Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with their corresponding medical conditions (Indications, Contraindications, Overdosage, and Adverse Reactions) as triples of medication-related information ([(1) drug name]-[(2) medical condition]-[(3) LOINC section header]) for an intelligen...