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Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
Abstract Knowledge discovery on biomedical data can be based on on-line, data-stream
analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in …
analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in …
[PDF][PDF] Disease monitoring and clinical decision support
P Lucas - Proceedings of Learning from Medical Data Streams …, 2011 - researchgate.net
With the recent availability of mobile, cheap, and sometimes wearable sensors there are
now new opportunities to monitor the progress of diseases in patients, for example in the …
now new opportunities to monitor the progress of diseases in patients, for example in the …
Learning from medical data streams: an introduction
Clinical practice and research are facing a new challenge created by the rapid growth of
health information science and technology, and the complexity and volume of biomedical …
health information science and technology, and the complexity and volume of biomedical …
Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction Techniques
S Velappan, MB Arumugam… - Handbook of Artificial …, 2021 - taylorfrancis.com
Role of computers became inevitable in healthcare sector and computers with information
and communication technologies are found to be widely used for assessment, patient …
and communication technologies are found to be widely used for assessment, patient …
Probabilistic methods for multi-source and temporal biomedical data quality assessment
C Sáez Silvestre - 2016 - riunet.upv.es
[EN] Nowadays, biomedical research and decision making depend to a great extent on the
data stored in information systems. As a consequence, a lack of data quality (DQ) may lead …
data stored in information systems. As a consequence, a lack of data quality (DQ) may lead …
[PDF][PDF] This Conference or Workshop Item Rodrigues, PP, Pechenizkiy, M., Gaber, Mohamed and Gama, J.(2011) Learning from medical data streams: an introduction …
PP Rodrigues - researchgate.net
Clinical practice and research are facing a new challenge created by the rapid growth of
health information science and technology, and the complexity and volume of biomedical …
health information science and technology, and the complexity and volume of biomedical …
[PDF][PDF] Learning from medical data streams
Learning from medical data streams: an introduction Page 1 Learning from medical data
streams an introduction Pedro Pereira Rodrigues, Mykola Pechenizkiy Mohamed Medhat …
streams an introduction Pedro Pereira Rodrigues, Mykola Pechenizkiy Mohamed Medhat …
[PDF][PDF] LEMEDS'11 Learning from Medical Data Streams
Clinical practice and research are facing a new challenge created by the rapid growth of
health information science and technology, and the complexity and volume of biomedical …
health information science and technology, and the complexity and volume of biomedical …