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Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
Journal of neuroscience methods
Dec 18, 2017
BACKGROUND: In the era of computer-assisted diagnostic tools for various brain diseases, Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the main scope being its use in daily practice. However, there has been no stud...
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction.
IEEE transactions on pattern analysis and machine intelligence
Dec 13, 2017
The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the participan...
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.
Computer methods and programs in biomedicine
Dec 12, 2017
BACKGROUND AND OBJECTIVE: The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and ...
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Journal of neuroscience methods
Dec 11, 2017
BACKGROUND: Alzheimer's disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of AD, and existing studies have...
A novel method for predicting kidney stone type using ensemble learning.
Artificial intelligence in medicine
Dec 11, 2017
The high morbidity rate associated with kidney stone disease, which is a silent killer, is one of the main concerns in healthcare systems all over the world. Advanced data mining techniques such as classification can help in the early prediction of t...
Female
Risk Factors
Aged
Aged, 80 and over
Neural Networks, Computer
Machine Learning
Decision Support Techniques
Databases, Factual
Adolescent
Child, Preschool
Child
Decision Support Systems, Clinical
Decision Trees
Young Adult
Adult
Male
Middle Aged
Humans
Early Diagnosis
Kidney Calculi
Predictive Value of Tests
Bayes Theorem
Iran
Data Mining
Critical dynamics in population vaccinating behavior.
Proceedings of the National Academy of Sciences of the United States of America
Dec 11, 2017
Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay global eradication. Vaccinating decisions exemplify a complex, coupled system where vaccinating behavior and disease dynamics influence one another. Such s...
Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.
Scientific reports
Dec 11, 2017
Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their likelihood of causing DILI in humans, of which >700 drugs wer...
Identifying genotype-phenotype relationships in biomedical text.
Journal of biomedical semantics
Dec 6, 2017
BACKGROUND: One important type of information contained in biomedical research literature is the newly discovered relationships between phenotypes and genotypes. Because of the large quantity of literature, a reliable automatic system to identify thi...
Efficient Group-n Encoding and Decoding for Facial Age Estimation.
IEEE transactions on pattern analysis and machine intelligence
Dec 4, 2017
Different ages are closely related especially among the adjacent ages because aging is a slow and extremely non-stationary process with much randomness. To explore the relationship between the real age and its adjacent ages, an age group-n encoding (...
Joint Hand Detection and Rotation Estimation Using CNN.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Dec 4, 2017
Hand detection is essential for many hand related tasks, e.g., recovering hand pose and understanding gesture. However, hand detection in uncontrolled environments is challenging due to the flexibility of wrist joint and cluttered background. We prop...
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