AIMC Topic: Diabetes Mellitus

Clear Filters Showing 321 to 330 of 441 articles

Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

Population health management Oct 2, 2018
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise...
Self-Management Risk Assessment Diabetes Mellitus Retina Humans Artificial Intelligence Forecasting Decision Support Techniques
View on PubMed DOI

Digital diabetes: Perspectives for diabetes prevention, management and research.

Diabetes & metabolism Sep 19, 2018
Digital medicine, digital research and artificial intelligence (AI) have the power to transform the field of diabetes with continuous and no-burden remote monitoring of patients' symptoms, physiological data, behaviours, and social and environmental ...
Data Interpretation, Statistical Internet Telemedicine Inventions Humans Biomedical Research Artificial Intelligence Big Data Diabetes Mellitus Monitoring, Physiologic
View on PubMed DOI

Current trends of digital solutions for diabetes management.

Diabetes & metabolic syndrome Jul 29, 2018
Industry 4.0 is an updated concept of smart production, which is identified with the fourth industrial revolution and the emergence of cyber-physical systems. Industry 4.0 is the next stage in the digitization of productions and industries, where suc...
Machine Learning Delivery of Health Care Big Data Diabetes Mellitus Internet Humans Disease Management Artificial Intelligence
View on PubMed DOI

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Journal of medical Internet research May 30, 2018
BACKGROUND: Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to dea...
Chronic Disease Machine Learning Decision Support Techniques Quality of Life Diabetes Mellitus Humans Artificial Intelligence
View on PubMed DOI

A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Male Cardiovascular Diseases Middle Aged Diet Aged, 80 and over Young Adult Adult Diabetes Mellitus Follow-Up Studies Models, Statistical Blood Pressure Risk Assessment Adolescent Incidence Hypertension Humans Machine Learning Prospective Studies Female Reproducibility of Results Risk Factors Aged Pattern Recognition, Automated Hypercholesterolemia Data Interpretation, Statistical Sex Factors Linear Models
View on PubMed DOI

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...
Logistic Models Hypertension Hypoglycemic Agents Diabetes Mellitus Female Male Decision Support Systems, Clinical Humans Neural Networks, Computer Machine Learning Noncommunicable Diseases Electronic Health Records Data Mining Practice Patterns, Physicians' Drug Prescriptions
View on PubMed

The Problems of Realism-Based Ontology Design: a Case Study in Creating Definitions for an Application Ontology for Diabetes Camps.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
A requirement of realism-based ontology design is that classes denote exclusively entities that exist objectively in reality and that their definitions adhere to strict criteria to ensure that the classes are re-usable in other ontologies while prese...
Biological Ontologies Medical Records Camping Humans Adolescent Child Diabetes Mellitus
View on PubMed

Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Electronic Health Records are electronic data generated during or as a byproduct of routine patient care. Structured, semi-structured and unstructured EHR offer researchers unprecedented phenotypic breadth and depth and have the potential to accelera...
Electronic Health Records Diabetes Mellitus Biological Ontologies Semantic Web Humans Algorithms Phenotype Precision Medicine
View on PubMed

Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Data Anonymization Psychiatry Datasets as Topic Humans Outpatients Electronic Health Records Machine Learning Diabetes Mellitus Algorithms Patient Discharge Summaries Natural Language Processing
View on PubMed

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Journal of medical systems Apr 10, 2018
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-base...
Humans Neural Networks, Computer Artificial Intelligence Sex Distribution Machine Learning United States Data Interpretation, Statistical Diabetes Mellitus Adult Bayes Theorem Indians, North American Decision Support Techniques Male Body Weights and Measures Blood Pressure Female Age Distribution Middle Aged Reproducibility of Results Blood Glucose
View on PubMed DOI
Popular Topics
Recent Journals