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» Mining data from intensive care patients
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PAMI
2007
196views more  PAMI 2007»
13 years 7 months ago
Bayesian Analysis of Lidar Signals with Multiple Returns
—Time-Correlated Single Photon Counting and Burst Illumination Laser data can be used for range profiling and target classification. In general, the problem is to analyze the res...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
MM
2006
ACM
199views Multimedia» more  MM 2006»
14 years 1 months ago
Concept-based electronic health records: opportunities and challenges
Healthcare is a data-rich but information-poor domain. Terabytes of multimedia medical data are being generated on a monthly basis in a typical healthcare organization in order to...
Shahram Ebadollahi, Anni Coden, Michael A. Tanenbl...
ICMLA
2010
13 years 5 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
ACSW
2007
13 years 9 months ago
Determining Pattern Element Contribution in Medical Datasets
Presented are two novel solutions addressing issues in the application of automated data analysis techniques in the medical domain. The primary aim of our work is to provide medic...
Anna Shillabeer, Darius Pfitzner