Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here

scientific article published on 2 October 2018

Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1089/POP.2018.0129
P932PMC publication ID6555175
P698PubMed publication ID30256722

P50authorKyu Y RheeQ93195831
P2093author name stringYoonyoung Park
Irene Dankwa-Mullan
Jane Snowdon
Marc Rivo
Marisol Sepulveda
P2860cites workA new mathematical model for relative quantification in real-time RT-PCRQ27860781
The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research GroupQ27861088
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsQ27927580
Big data analytics in healthcare: promise and potentialQ28649383
Using individualized predictive disease modeling to identify patients with the potential to benefit from a disease management program for diabetes mellitus.Q30356091
Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based ReasoningQ33441184
Smartphone-based wound assessment system for patients with diabetesQ33441712
"Snap-n-Eat": Food Recognition and Nutrition Estimation on a SmartphoneQ33443395
Activity Recognition for Diabetic Patients Using a Smartphone.Q33451050
AREA DETERMINATION OF DIABETIC FOOT ULCER IMAGES USING A CASCADED TWO-STAGE SVM BASED CLASSIFICATION.Q33451652
A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notesQ34583750
Using machine learning to examine medication adherence thresholds and risk of hospitalizationQ35855191
Computational Intelligence-Based Diagnosis Tool for the Detection of Prediabetes and Type 2 Diabetes in IndiaQ36250629
Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic ControllerQ36340392
Home Use of an Artificial Beta Cell in Type 1 DiabetesQ36419734
Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical RecordQ36600334
Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal ImagesQ36993059
Artificial Pancreas Device Systems for the Closed-Loop Control of Type 1 Diabetes: What Systems Are in Development?Q37288511
IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive StatisticsQ37366728
In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit SettingQ37391407
Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural networkQ38678438
Gestational Diabetes Management Using Smart Mobile Telemedicine.Q38728702
Fuzzy expert system for diagnosing diabetic neuropathy.Q39164688
Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysisQ39287998
Tele-ophthalmology: Opportunities for improving diabetes eye care in resource- and specialist-limited Sub-Saharan African countriesQ40316985
Electronic Health Record Adoption In US Hospitals: Progress Continues, But Challenges PersistQ40329351
Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes.Q44652932
Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction.Q45945494
Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning modelQ47621689
Special section on artificial intelligence for diabetesQ47639625
An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regionsQ47959327
The burden of severe hypoglycemia in type 2 diabetesQ48214880
Retinal Lesion Detection With Deep Learning Using Image PatchesQ49671722
Cost-utility analysis of screening intervals for diabetic retinopathy in patients with type 2 diabetes mellitusQ50657012
A Soft Computing Approach to Kidney Diseases Evaluation.Q50862569
Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot studyQ52659483
Bedside Computer Vision - Moving Artificial Intelligence from Driver Assistance to Patient SafetyQ62496440
P433issue3
P407language of work or nameEnglishQ1860
P921main subjectartificial intelligenceQ11660
P304page(s)229-242
P577publication date2018-10-02
P1433published inPopulation Health ManagementQ26842287
P1476titleTransforming Diabetes Care Through Artificial Intelligence: The Future Is Here
P478volume22

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cites work (P2860)
Q99545370An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study
Q62491131Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care: Protocol for Algorithm Development
Q92624453Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
Q89988301Meeting the Challenge of Diabetes in China

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