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Generalized additive models for medical research
Generalized additive models medical research
2015/8/21
This article reviews flexible statistical methods that are useful for characterizing the effect of potential prognostic factors on disease endpoints. Applications to survival models and binary outcome...
Sparse Projections of Medical Images onto Manifolds
Sparse Projections Medical Images Manifolds
2013/5/2
Manifold learning has been successfully applied to a variety of medical imaging problems. Its use in real-time applications requires fast projection onto the low-dimensional space. To this end, out-of...
K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
Case-based Reasoning systems logistic models similarity measures k-nearest neighbors algorithms classi-fication
2013/4/28
Introduction. Case Based Reasoning (CBR) is an emerg- ing decision making paradigm in medical research where new cases are solved relying on previously solved similar cases. Usually, a database of sol...
Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images
Computer-Aided Diagnosis Tissue Classification Bag-of-Features Visual Vocabulary Visual Word Weighting
2012/9/18
Automatically classifying the tissues types of Region of Interest (ROI) in med-ical imaging has been an important application in Computer-Aided Diagno-sis (CAD), such as classification of breast paren...
Improving the Stratification of Medical Institutions for Stratified Sampling in the Patient Survey
correspondence analysis Patient Survey ratio estimation standard error rate stratified random sampling
2009/3/9
The Patient Survey is a designated statistical survey conducted every three years with the objective of obtaining basic data on the current status of patients in medical institutions in Japan. Since s...