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Articles 1 - 3 of 3
Full-Text Articles in Translational Medical Research
Similarity Based Classification Of Adhd Using Singular Value Decomposition, Taban Eslami, Fahad Saeed
Similarity Based Classification Of Adhd Using Singular Value Decomposition, Taban Eslami, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
Attention deficit hyperactivity disorder (ADHD) is one of the most common brain disorders among children. This disorder is considered as a big threat for public health and causes attention, focus and organizing difficulties for children and even adults. Since the cause of ADHD is not known yet, data mining algorithms are being used to help discover patterns which discriminate healthy from ADHD subjects. Numerous efforts are underway with the goal of developing classification tools for ADHD diagnosis based on functional and structural magnetic resonance imaging data of the brain. In this paper, we used Eros, which is a technique for …
The Pharmacogene Variation (Pharmvar) Consortium: Incorporation Of The Human Cytochrome P450 (Cyp) Allele Nomenclature Database, Andrea Gaedigk, Magnus Ingelman-Sundberg, Neil A. Miller, J Steven Leeder, Michelle Whirl-Carrillo, Teri E. Klein
The Pharmacogene Variation (Pharmvar) Consortium: Incorporation Of The Human Cytochrome P450 (Cyp) Allele Nomenclature Database, Andrea Gaedigk, Magnus Ingelman-Sundberg, Neil A. Miller, J Steven Leeder, Michelle Whirl-Carrillo, Teri E. Klein
Manuscripts, Articles, Book Chapters and Other Papers
The Human Cytochrome P450 (CYP) Allele Nomenclature Database, a critical resource to the pharmacogenetics and genomics communities, will be transitioning to the Pharmacogene Variation (PharmVar) Consortium. In this report we provide a summary of the current database, provide an overview of the PharmVar consortium and highlight the PharmVar database which will serve as the new home for pharmacogene nomenclature.
Self-Reported Vs. Measured Height, Weight, And Bmi In Young Adults, Melissa D. Olfert, Makenzie L. Barr, Camille M. Charlier, Oluremi A. Famodu, Wenjun Zhou, Anne E. Mathews, Carol Byrd-Bredbenner, Sarah E. Colby
Self-Reported Vs. Measured Height, Weight, And Bmi In Young Adults, Melissa D. Olfert, Makenzie L. Barr, Camille M. Charlier, Oluremi A. Famodu, Wenjun Zhou, Anne E. Mathews, Carol Byrd-Bredbenner, Sarah E. Colby
Faculty & Staff Scholarship
Self-reported height and weight, if accurate, provide a simple and economical method to track changes in body weight over time. Literature suggests adults tend to under-report their own weight and that the gap between self-reported weight and actual weight increases with obesity. This study investigates the extent of discrepancy in self-reported height, weight, and subsequent Body Mass Index (BMI) versus actual measurements in young adults. Physically measured and self-reported height and weight were taken from 1562 students. Male students marginally overestimated height, while females were closer to target. Males, on average, closely self-reported weight. Self-reported anthropometrics remained statistically correlated to …