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pyEHR: A scalable clinical data management toolkit for biomedical research projects

contributor authorLianas, Luca
contributor authorFrexia, Francesca
contributor authorDelussu, Giovanni
contributor authorAnedda, Paolo
contributor authorZanetti, Gianluigi
date accessioned2020-03-12T22:17:40Z
date available2020-03-12T22:17:40Z
date issued2014
identifier other7001871.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1077994?show=full
formatgeneral
languageEnglish
publisherIEEE
titlepyEHR: A scalable clinical data management toolkit for biomedical research projects
typeConference Paper
contenttypeMetadata Only
identifier padid8214264
subject keywordsdata assimilation
subject keywordsn hydrological techniques
subject keywordsn remote sensing
subject keywordsn vegetation
subject keywordsn AD 2010 03 to 2011 09
subject keywordsn AMSR-E soil moisture retrieval
subject keywordsn Advanced Microwave Scanning Radiometer
subject keywordsn CATDS Centre
subject keywordsn ECMWF
subject keywordsn European Centre for Medium-Range Weather Forecasts
subject keywordsn LPRM algorithm
subject keywordsn Land Parameter Retrieval Model
subject keywordsn Level-3 retrieval algorithm
subject keywordsn SM-DAS-2 SSM products
subject keywordsn SMOS Level 3 ascending
subject keywordsn SMOS Level 3 products
subject keywordsn SMOS Level descending
subject keywordsn SMOS level 3 SSM datas
identifier doi10.1109/MicroRad.2014.6878900
journal title-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference o
filesize95941
citations0


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