Data dictionary services in XNAT and the Human Connectome Project
نویسندگان
چکیده
منابع مشابه
Data dictionary services in XNAT and the Human Connectome Project
The XNAT informatics platform is an open source data management tool used by biomedical imaging researchers around the world. An important feature of XNAT is its highly extensible architecture: users of XNAT can add new data types to the system to capture the imaging and phenotypic data generated in their studies. Until recently, XNAT has had limited capacity to broadcast the meaning of these d...
متن کاملHuman Connectome Project
The purpose of the Human Connectome Project (HCP) is to advance the understanding of anatomical and functional organization in the healthy young adult human brain. The HCP is using cutting-edge neuroimaging to map brain connections in 1,200 healthy adults and sharing all data, processing methods, and analysis tools with the scientific community. The 2015 Human Connectome Project Course is bring...
متن کاملHuman Connectome Project informatics: Quality control, database services, and data visualization
The Human Connectome Project (HCP) has developed protocols, standard operating and quality control procedures, and a suite of informatics tools to enable high throughput data collection, data sharing, automated data processing and analysis, and data mining and visualization. Quality control procedures include methods to maintain data collection consistency over time, to measure head motion, and...
متن کاملThe Human Connectome Project: Progress and Prospects
Editor's Note: As the first phase of one of the most ambitious projects in the history of neuroscience comes to a close, one early and influential leader and his younger colleague explain its evolution and underpinnings. Its goal " is to build a 'network map' that will shed light on the anatomical and functional connectivity within the healthy human brain, as well as to produce a body of data t...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2014
ISSN: 1662-5196
DOI: 10.3389/fninf.2014.00065