AIMC Topic: Diabetes Mellitus

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Diagnosis of Diabetes Mellitus by Extraction of Morphological Features of Red Blood Cells Using an Artificial Neural Network.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association Jun 29, 2016
Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to insufficient secretion of insulin by the pancreas or improper utilization of glucose. The study was aimed to investigate the association of morphological...
Humans Neural Networks, Computer Female Middle Aged Image Processing, Computer-Assisted Diabetes Mellitus Erythrocytes Adult Sensitivity and Specificity Male
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A framework for parameter estimation and model selection in kernel deep stacking networks.

Artificial intelligence in medicine May 30, 2016
BACKGROUND AND OBJECTIVES: Kernel deep stacking networks (KDSNs) are a novel method for supervised learning in biomedical research. Belonging to the class of deep learning techniques, KDSNs are based on artificial neural network architectures that in...
Humans Diabetes Mellitus Neural Networks, Computer Coronary Artery Disease Machine Learning Hospital Costs Algorithms
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Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes.

Journal of diabetes science and technology May 3, 2016
BACKGROUND: About 10% of patients with diabetes discontinue treatment, resulting in the progression of diabetes-related complications and reduced quality of life.
Diabetes Mellitus Area Under Curve No-Show Patients Humans Machine Learning Algorithms ROC Curve Female Logistic Models Male
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Serum cystatin C and neutrophil gelatinase-associated lipocalin in predicting the severity of coronary artery disease in diabetic patients.

Anatolian journal of cardiology Nov 26, 2015
OBJECTIVE: Cystatin C and neutrophil gelatinase-associated lipocalin (NGAL) are biomarkers of renal functions. We evaluated their roles in predicting the severity of coronary artery disease (CAD).
Lipocalins Male Lipocalin-2 Female Diabetes Complications Middle Aged Diabetes Mellitus Aged Coronary Artery Disease Glomerular Filtration Rate Cystatin C Cross-Sectional Studies Humans Prospective Studies Biomarkers
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Processing Diabetes Mellitus Composite Events in MAGPIE.

Journal of medical systems Nov 21, 2015
The focus of this research is in the definition of programmable expert Personal Health Systems (PHS) to monitor patients affected by chronic diseases using agent oriented programming and mobile computing to represent the interactions happening amongs...
Telemetry Expert Systems Patient Care Team Health Information Exchange Humans Smartphone Chronic Disease Internet Mobile Applications Diabetes Mellitus
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Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Decision support tools increasingly integrate clinical knowledge such as medication indications and contraindications with electronic health record (EHR) data to support clinical care and patient safety. The availability of this encoded information a...
Decision Support Techniques Diabetes Mellitus Electronic Health Records Humans Knowledge Bases Comorbidity Multiple Chronic Conditions
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Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record.

Digestive diseases and sciences Nov 4, 2015
BACKGROUND AND AIMS: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Risk factors for NAFLD disease progression and liver-related outcomes remain incompletely understood due to the lack of computa...
Diabetes Mellitus Natural Language Processing Biopsy Cohort Studies Logistic Models United States Aspartate Aminotransferases International Classification of Diseases Triglycerides Non-alcoholic Fatty Liver Disease Data Collection Alanine Transaminase Electronic Health Records Female Aged Middle Aged Prevalence Adult Male Humans Algorithms
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TWSVR: Regression via Twin Support Vector Machine.

Neural networks : the official journal of the International Neural Network Society Nov 3, 2015
Taking motivation from Twin Support Vector Machine (TWSVM) formulation, Peng (2010) attempted to propose Twin Support Vector Regression (TSVR) where the regressor is obtained via solving a pair of quadratic programming problems (QPPs). In this paper ...
Humans Machine Learning Motorcycles Algorithms Support Vector Machine Databases, Factual Regression Analysis Diabetes Mellitus Accidents, Traffic
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A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

Artificial intelligence in medicine Aug 14, 2015
OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expe...
Fuzzy Logic Information Storage and Retrieval Semantics Biological Ontologies Vocabulary, Controlled Algorithms Diagnosis, Computer-Assisted Diabetes Mellitus Humans Artificial Intelligence
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Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

International journal of medical informatics Aug 8, 2015
OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for patient-centric decision support tools.
Problem Solving Humans Self Care Diabetes Mellitus Knowledge Bases
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