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Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics
Metabolomics focuses on the detection of chemical substances in biological fluids such as urine and blood using a number of analytical techniques including Nuclear Magnetic Resonance (NMR) spectroscopy and Liquid Chromatography-Mass Spectroscopy (LC-MS)...
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms
- Roohallah Alizadehsani,
- Mohammad Javad Hosseini,
- Zahra Alizadeh Sani,
- Asma Ghandeharioun,
- Reihane Boghrati
One of the main causes of death the world over are cardiovascular diseases, of which coronary artery disease (CAD) is a major type. This disease occurs when the diameter narrowing of one of the left anterior descending, left circumflex, or right ...
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach
A model to predict the Length of Stay (LOS) for hospitalized patients can be an effective tool for healthcare providers. Such a model will enable early interventions to prevent complications and prolonged LOS and also enable more efficient utilization ...
Figure Retrieval in Biomedical Literature
Automatic classification of figures present in healthcare documents is known to be useful for biomedical document mining. The context of a document is directly reflected in the figures present within them. Embedded text within these figures along with ...
Cerebral Palsy EEG Signals Classification: Facial Expressions and Thoughts for Driving an Intelligent Wheelchair
Brain Computer Interfaces (BCI) enables interaction between users and hardware systems, through the recognition of brainwave activity. However, the current BCI systems still have a very low accuracy on the recognition of facial expressions and thoughts. ...
Index Terms
- Proceedings of the 2012 IEEE 12th International Conference on Data Mining Workshops