Common Data Model for Neuroscience Data and Data Model Exchange
نویسندگان
چکیده
منابع مشابه
Model Formulation: Common Data Model for Neuroscience Data and Data Model Exchange
through physiology, pharmacology, and anatomy to development, behavior, learning, neurology, and psychiatry. Investigations probe nervous systems using techniques for data collection and analysis derived from fields as diverse as genomics, biophysics, computer science, and psychology. The scope and range of neuroscience data is thus ever more complex, and the number of laboratories acquiring an...
متن کاملa study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
A suitable data model for HIV infection and epidemic detection
Background: In recent years, there has been an increase in the amount and variety of data generated in the field of healthcare, (e.g., data related to the prevalence of contagious diseases in the society). Various patterns of individuals’ relationships in the society make the analysis of the network a complex, highly important process in detecting and preventing the incidence of diseases....
متن کاملA nonlinear model for common weights set identification in network Data Envelopment Analysis
In the Data Envelopment Analysis (DEA) the efficiency of the units can be obtained by identifying the degree of the importance of the criteria (inputs-outputs).In DEA basic models, challenges are zero and unequal weights of the criteria when decision- making units are evaluated. One of the strategies applied to deal with these problems is using common weights of the each input...
متن کاملInverse DEA Model with Fuzzy Data for Output Estimation
In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.
متن کاملذخیره 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: Journal of the American Medical Informatics Association
سال: 2001
ISSN: 1067-5027,1527-974X
DOI: 10.1136/jamia.2001.0080017