Authors present a methodology which allows computer scientists to create and process depersonalised medical data sets. The system being developed allows its users to collect, transform and process data from heterogeneous medical sources and to validate various hypothesis using medical data sets.</p
Abstract. The expansion of biomedical knowledge, reduction in computing costs and spread of IT facil...
Imaging has become a prevalent tool in the diagnosis and treatment of many diseases, providing a uni...
Artificial intelligence (AI)-based solutions have revolutionized our world, using extensive datasets...
Authors present a methodology which allows computer scientists to create and process depersonalised ...
Data commonly produced during medical practice often falls into the category of complex data, which ...
The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playing i...
Medical care and research are highly specialised and distributed. Computer supported collaboration u...
Friedrichs M. Data Integration Applications in Medical Information Systems. In: Chen M, Hofestädt R,...
"Designing a data access and integration workflow for medical data science: a use case of compiling ...
The central idea behind a medical informatics testbed is the sharing of geographically distributed h...
Abstract: The paper presents the program complex providing remote access to a set of medic...
Image-based data integration in eHealth and life sciences is typically concerned with the method use...
The intent of this book’s conception is to present research work using a user centered design approa...
The medical field has seen a huge increase in data collection due to new technologies and techniques...
The author presents a final report on a Laboratory-Directed Research and Development (LDRD) project,...
Abstract. The expansion of biomedical knowledge, reduction in computing costs and spread of IT facil...
Imaging has become a prevalent tool in the diagnosis and treatment of many diseases, providing a uni...
Artificial intelligence (AI)-based solutions have revolutionized our world, using extensive datasets...
Authors present a methodology which allows computer scientists to create and process depersonalised ...
Data commonly produced during medical practice often falls into the category of complex data, which ...
The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playing i...
Medical care and research are highly specialised and distributed. Computer supported collaboration u...
Friedrichs M. Data Integration Applications in Medical Information Systems. In: Chen M, Hofestädt R,...
"Designing a data access and integration workflow for medical data science: a use case of compiling ...
The central idea behind a medical informatics testbed is the sharing of geographically distributed h...
Abstract: The paper presents the program complex providing remote access to a set of medic...
Image-based data integration in eHealth and life sciences is typically concerned with the method use...
The intent of this book’s conception is to present research work using a user centered design approa...
The medical field has seen a huge increase in data collection due to new technologies and techniques...
The author presents a final report on a Laboratory-Directed Research and Development (LDRD) project,...
Abstract. The expansion of biomedical knowledge, reduction in computing costs and spread of IT facil...
Imaging has become a prevalent tool in the diagnosis and treatment of many diseases, providing a uni...
Artificial intelligence (AI)-based solutions have revolutionized our world, using extensive datasets...