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A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
TLDR
A filter, based on a multi-objective evolutionary algorithm, for attributes' ranking in the context of a data mining task and the results suggest that the evolutionary approach provides a good quality ranking. Expand
Nonsurgical and surgical periodontal therapy in single-rooted teeth
TLDR
Nonsurgical and surgical periodontal therapies are effective in single-rooted teeth; severe interproximal bone loss and infrabony defects deteriorate clinical results; and there seem to be more defect-associated (tooth, site) factors influencing treatment outcome than patient-associated factors. Expand
Towards the Integration of Medical Informatics Education for Clinicians into the Medical Curriculum
TLDR
It is concluded that an introductory course on information and communication technology and information skills can be useful at the beginning of the medical curriculum, while an interactive, problem-based-learning-type MI course should be included during the clinical stage. Expand
The Impact of Diabetic Neuropathy on Balance and on the Risk of Falls in Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
TLDR
The presence of DN in patients with DM is associated with impaired balance and with a consecutively increase in the risk of falls. Expand
Factors influencing the quality of life perception in patients with type 2 diabetes mellitus
TLDR
To improve the patient’s quality of life, special care should be given to the modifiable diabetes-related factors: the prevention and treatment of diabetes complications, treatment of depression, and weight loss in obese and overweight patients. Expand
Galectin-3 as a marker for clinical prognosis and cardiac remodeling in acute heart failure
TLDR
Galectin-3 can predict long-term mortality in patients with AHF and is suggested to be a significant explanatory factor for HF hospital re-admission in the short term when compared with quasi-stationary galectin 3 levels. Expand
Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models
TLDR
Without the burden of measuring exogenous information, nonlinear regime-switching AR models provided fast and accurate results for glucose prediction, providing the best prediction accuracy for patients with high GV. Expand
Content Based Image Retrieval Using Local Binary Pattern Operator and Data Mining Techniques
TLDR
This work proposes the definition of feature vectors using the Local Binary Pattern (LBP) operator, and the proposed indexing method is compared to the classical indexing technique, which is nowadays widely used. Expand
FEATURE RANKING BASED ON WEIGHTS ESTIMATED BY MULTIOBJECTIVE OPTIMIZATION
TLDR
A feature ranking technique based on the weights estimated by an evolutionary algorithm for multiobjective optimization is analyzed and the problem of comparing and aggregating different rankings obtained by applying different methods to the same dataset is addressed. Expand
Removable Dentures Treatment Satisfaction of Patients with Type-2 Diabetes
TLDR
The prosthodontic treatment of the type -2 diabetic patients with removable denture should be started after stabilizing the blood glycemic levels and treating the xerostomia, when present. Expand
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