Donaldson et al., 2023 - Google Patents
Continuous glucose monitoring-based composite metrics: a review and assessment of performance in recent-onset and long-duration type 1 diabetesDonaldson et al., 2023
View PDF- Document ID
- 12216231531017960709
- Author
- Donaldson L
- Vogrin S
- So M
- Ward G
- Krishnamurthy B
- Sundararajan V
- MacIsaac R
- Kay T
- McAuley S
- Publication year
- Publication venue
- Diabetes Technology & Therapeutics
External Links
Snippet
This study examined correlations between continuous glucose monitoring (CGM)-based composite metrics and standard glucose metrics within CGM data sets from individuals with recent-onset and long-duration type 1 diabetes. First, a literature review and critique of …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Penckofer et al. | Does glycemic variability impact mood and quality of life? | |
Rosenberger et al. | 24 hours of sleep, sedentary behavior, and physical activity with nine wearable devices | |
Nguyen et al. | A review of continuous glucose monitoring-based composite metrics for glycemic control | |
Chyu et al. | Racial and ethnic patterns of allostatic load among adult women in the United States: findings from the National Health and Nutrition Examination Survey 1999–2004 | |
Norris et al. | Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control | |
Martinez et al. | Gender differences in symptoms and care delivery for chronic obstructive pulmonary disease | |
Sénéchal et al. | Dynapenic abdominal obesity and metabolic risk factors in adults 50 years of age and older | |
Park et al. | Burden of visual impairment and chronic diseases | |
Willson et al. | Life course pathways of economic hardship and mobility and midlife trajectories of health | |
Moscardó et al. | Assessment of glucose control metrics by discriminant ratio | |
Donaldson et al. | Continuous glucose monitoring-based composite metrics: a review and assessment of performance in recent-onset and long-duration type 1 diabetes | |
Fabris et al. | Parsimonious description of glucose variability in type 2 diabetes by sparse principal component analysis | |
Xie et al. | Blood urea nitrogen and risk of insulin use among people with diabetes | |
Márquez-Pardo et al. | Continuous glucose monitoring and glycemic patterns in pregnant women with gestational diabetes mellitus | |
Morris | Loneliness as a predictor of work disability onset among nondisabled, working older adults in 14 countries | |
Christensen et al. | Skin problems due to treatment with technology are associated with increased disease burden among adults with type 1 diabetes | |
Glass et al. | Evaluation of light physical activity measured by accelerometry and mobility disability during a 6-year follow-up in older women | |
Davillas et al. | Biomarkers as precursors of disability | |
Shah et al. | Time in range is associated with incident diabetic retinopathy in adults with type 1 diabetes: a longitudinal study | |
Wang et al. | Association between glycaemia risk index (GRI) and diabetic retinopathy in type 2 diabetes: a cohort study | |
Yang et al. | An early and unequal decline: Life course trajectories of cognitive aging in the United States | |
Wei et al. | Consumer behavioral intention of adopting emerging healthcare technology | |
Chatzi et al. | Sociodemographic disparities in non‐diabetic hyperglycaemia and the transition to type 2 diabetes: evidence from the English longitudinal study of ageing | |
Dubey et al. | Predicting diabetic neuropathy risk level using artificial neural network and clinical parameters of subjects with diabetes | |
Rietz et al. | Blood pressure level in late adolescence and risk for cardiovascular events: a cohort study |