Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
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Title
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Authors
Keywords
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Journal
Diabetology & Metabolic Syndrome
Volume 14, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-12-27
DOI
10.1186/s13098-022-00969-9
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Note: Only part of the references are listed.- Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods
- (2022) Somayeh Sadeghi et al. BMC Medical Informatics and Decision Making
- Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial
- (2022) Michal Rein et al. BMC Medicine
- Identifying Continuous Glucose Monitoring Data Using Machine Learning
- (2022) Pau Herrero et al. Diabetes Technology & Therapeutics
- Prediction of Type 2 Diabetes Mellitus According to Glucose Metabolism Patterns in Pregnancy Using a Novel Machine Learning Algorithm
- (2022) Ohad Houri et al. Journal of Medical and Biological Engineering
- A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin
- (2022) Adrià Parcerisas et al. SENSORS
- Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans
- (2022) Saritha Balasubramaniyan et al. Scientific Reports
- Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach
- (2022) Hoda Nemat et al. IEEE Journal of Biomedical and Health Informatics
- Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E-App
- (2022) Malik Bader Alazzam et al. Computational Intelligence and Neuroscience
- IoMT-Enabled Real-time Blood Glucose Prediction with Deep Learning and Edge Computing
- (2022) Taiyu Zhu et al. IEEE Internet of Things Journal
- Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
- (2022) Sunmin Park et al. Diagnostics
- Exploration of mRNAs and miRNA classifiers for various ATLL cancer subtypes using machine learning
- (2022) Mohadeseh Zarei Ghobadi et al. BMC CANCER
- Non‐laboratory‐based risk assessment model for case detection of diabetes mellitus and pre‐diabetes in primary care
- (2022) Weinan Dong et al. Journal of Diabetes Investigation
- Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
- (2022) Mukkesh Kumar et al. International Journal of Environmental Research and Public Health
- A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM
- (2022) Mohammed Gollapalli et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Predicting Misdiagnosed Adult-onset Type 1 Diabetes Using Machine Learning
- (2022) Rabee Cheheltani et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes
- (2022) Vladimir B. Berikov et al. Journal of Personalized Medicine
- Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review
- (2022) Daniela Mennickent et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Subcutaneous insulin administration by deep reinforcement learning for blood glucose level control of type-2 diabetic patients
- (2022) Mohammad Ali Raheb et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Early Prediction of Diabetes Using an Ensemble of Machine Learning Models
- (2022) Aishwariya Dutta et al. International Journal of Environmental Research and Public Health
- Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy
- (2022) Vladislav V. Pavlovskii et al. Journal of Computational Science
- A Multi-Agent Approach Used to Predict Long-Term Glucose Oscillation in Individuals with Type 1 Diabetes
- (2022) João Paulo Aragão Pereira et al. Applied Sciences-Basel
- Exploration of blood−derived coding and non-coding RNA diagnostic immunological panels for COVID-19 through a co-expressed-based machine learning procedure
- (2022) Mohadeseh Zarei Ghobadi et al. Frontiers in Immunology
- Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning
- (2022) Taiyu Zhu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients
- (2021) Nestoras N. Mathioudakis et al. JAMA Network Open
- Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation
- (2021) Carmelo Velardo et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Using machine learning to identify diabetes patients with canagliflozin prescriptions at high‐risk of lower extremity amputation using real‐world data
- (2021) Lanting Yang et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only
- (2021) Francesco Prendin et al. SENSORS
- A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus
- (2021) Ignacio Rodríguez-Rodríguez et al. Applied Sciences-Basel
- Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
- (2021) Md Fazle Rabby et al. BMC Medical Informatics and Decision Making
- Diabetes detection using deep learning techniques with oversampling and feature augmentation
- (2021) María Teresa García-Ordás et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques
- (2021) Jun Li et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Short-term Prediction of Future Continuous Glucose Monitoring Readings in Type 1 diabetes: Development and Validation of a Neural Network Regression Model
- (2021) Simon Lebech Cichosz et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU
- (2021) Oisin Fitzgerald et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking
- (2021) Kushan De Silva et al. PLoS One
- Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning
- (2021) Sharen Lee et al. BMC Endocrine Disorders
- Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
- (2021) Henock M. Deberneh et al. International Journal of Environmental Research and Public Health
- A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
- (2021) Haohui Lu et al. APPLIED INTELLIGENCE
- A Personalized Blood Glucose Level Prediction Model With a Fine-tuning Strategy: A Proof-of-Concept Study
- (2021) Wonju Seo et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
- (2021) Anju Prabha et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Prediction of large-for-gestational age infants in relation to hyperglycemia in pregnancy – A comparison of statistical models
- (2021) Kristen S. Gibbons et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- A System for Blood Glucose Monitoring and Smart Insulin Prediction
- (2021) Yusra Obeidat et al. IEEE SENSORS JOURNAL
- Physical Activity and Psychological Stress Detection and Assessment of Their Effects on Glucose Concentration Predictions in Diabetes Management
- (2021) Mert Sevil et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- SAR image classification based on multi‐feature fusion decision convolutional neural network
- (2021) Liang Guo IET Image Processing
- Blood glucose concentration prediction based on VMD-KELM-AdaBoost
- (2021) Wang Wenbo et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions
- (2021) Laura Martínez-Delgado et al. SENSORS
- Noninvasive In Vivo Estimation of Blood-Glucose Concentration by Monte Carlo Simulation
- (2021) Chowdhury Azimul Haque et al. SENSORS
- Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models
- (2021) Mario Muñoz-Organero et al. SENSORS
- Hyperglycemia Identification Using ECG in Deep Learning Era
- (2021) Renato Cordeiro et al. SENSORS
- Predicting youth diabetes risk using NHANES data and machine learning
- (2021) Nita Vangeepuram et al. Scientific Reports
- Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches
- (2021) Ram D. Joshi et al. International Journal of Environmental Research and Public Health
- Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes
- (2021) Yuting Fan et al. Frontiers in Pharmacology
- Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong
- (2021) Sharen Lee et al. BMJ Open Diabetes Research & Care
- Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults
- (2021) Yang Wu et al. Frontiers in Public Health
- Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes
- (2021) Mathieu Ravaut et al. JAMA Network Open
- Machine learning for prediction of diabetes risk in middle-aged Swedish people
- (2021) Lara Lama et al. Heliyon
- Penalty weighted glucose prediction models could lead to better clinically usage
- (2021) Simon Lebech Cichosz et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Prediction of Personal Glycemic Responses to Food for Individuals With Type 1 Diabetes Through Integration of Clinical and Microbial Data
- (2021) Smadar Shilo et al. DIABETES CARE
- Environmental chemical exposure dynamics and machine learning-based prediction of diabetes mellitus
- (2021) Hongcheng Wei et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Noninvasive Blood Glucose Concentration Measurement Based on Conservation of Energy Metabolism and Machine Learning
- (2021) Jianming Zhu et al. SENSORS
- Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
- (2021) Luis Fregoso-Aparicio et al. Diabetology & Metabolic Syndrome
- Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records
- (2021) Sreekar Mantena et al. JOURNAL OF CLINICAL MONITORING AND COMPUTING
- A Multitask Learning Approach to Personalized Blood Glucose Prediction
- (2021) John Daniels et al. IEEE Journal of Biomedical and Health Informatics
- Prediction of Diabetic Sensorimotor Polyneuropathy Using Machine Learning Techniques
- (2021) Dae Youp Shin et al. Journal of Clinical Medicine
- Detection of diabetes from whole-body MRI using deep learning
- (2021) Benedikt Dietz et al. JCI Insight
- Prediction of progression from pre‐diabetes to diabetes: Development and validation of a machine learning model
- (2020) Avivit Cahn et al. DIABETES-METABOLISM RESEARCH AND REVIEWS
- Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population
- (2020) Rafael Garcia-Carretero et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Prediction of gestational diabetes based on nationwide electronic health records
- (2020) Nitzan Shalom Artzi et al. NATURE MEDICINE
- Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes
- (2020) Luke Mueller et al. Diabetes Therapy
- Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
- (2020) Michele Bernardini et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records
- (2020) Yue Ruan et al. DIABETES CARE
- Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis
- (2020) Clara Mosquera-Lopez et al. Diabetes Technology & Therapeutics
- Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor
- (2020) Arthur Bertachi et al. SENSORS
- Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data
- (2020) Amin Ul Haq et al. SENSORS
- Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study
- (2020) Liying Zhang et al. Scientific Reports
- Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy
- (2020) Pradeep Kumar Anand et al. Diagnostics
- Near-optimal insulin treatment for diabetes patients: A machine learning approach
- (2020) Mark Shifrin et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Diabetes prediction model based on an enhanced deep neural network
- (2020) Huaping Zhou et al. EURASIP Journal on Wireless Communications and Networking
- Prediction of gestational diabetes mellitus in the first 19 weeks of pregnancy using machine learning techniques
- (2020) Yan Xiong et al. Journal of Maternal-Fetal & Neonatal Medicine
- A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
- (2020) Ashenafi Zebene Woldaregay et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Deep Physiological Model for Blood Glucose Prediction in T1DM Patients
- (2020) Mario Munoz-Organero SENSORS
- Early detection of type 2 diabetes mellitus using machine learning-based prediction models
- (2020) Leon Kopitar et al. Scientific Reports
- Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study
- (2020) Yunzhen Ye et al. Journal of Diabetes Research
- A comparative analysis of gradient boosting algorithms
- (2020) Candice Bentéjac et al. ARTIFICIAL INTELLIGENCE REVIEW
- Net benefit index: Assessing the influence of a biomarker for individualized treatment rules
- (2020) Yiwang Zhou et al. BIOMETRICS
- Intelligent Data-Driven Model for Diabetes Diurnal Patterns Analysis
- (2020) Mohammad R. Eissa et al. IEEE Journal of Biomedical and Health Informatics
- Interpretable Machine Learning Framework Reveals Robust Gut Microbiome Features Associated With Type 2 Diabetes
- (2020) Wanglong Gou et al. DIABETES CARE
- 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2021
- (2020) DIABETES CARE
- Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning‐based screening tool
- (2020) Stijn Crutzen et al. DIABETES-METABOLISM RESEARCH AND REVIEWS
- A systematic review of convolutional neural network-based structural condition assessment techniques
- (2020) Sandeep Sony et al. ENGINEERING STRUCTURES
- Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy
- (2020) Giulia Noaro et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A machine-learning strategy to evaluate the use of FTIR spectra of saliva for a good control of type 2 diabetes
- (2020) Miguel Sánchez-Brito et al. TALANTA
- Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people
- (2020) Maxime De Bois et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep Learning for Diabetes: A Systematic Review
- (2020) Taiyu Zhu et al. IEEE Journal of Biomedical and Health Informatics
- A clinical text classification paradigm using weak supervision and deep representation
- (2019) Yanshan Wang et al. BMC Medical Informatics and Decision Making
- Rhabdomyosarcoma
- (2019) Stephen X. Skapek et al. Nature Reviews Disease Primers
- Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes
- (2019) Ashenafi Zebene Woldaregay et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning
- (2019) Josep Vehí et al. Health Informatics Journal
- Risk-based postprandial hypoglycemia forecasting using supervised learning
- (2019) Silvia Oviedo et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes—An In Silico Proof-of-Concept
- (2019) Cappon et al. SENSORS
- A simple model to predict risk of gestational diabetes mellitus from 8 to 20 weeks of gestation in Chinese women
- (2019) Tao Zheng et al. BMC Pregnancy and Childbirth
- TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records
- (2019) Michele Bernardini et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A machine-learning approach to predict postprandial hypoglycemia
- (2019) Wonju Seo et al. BMC Medical Informatics and Decision Making
- An Artificial Neural Network-based Predictive Model to Support Optimization of Inpatient Glycemic Control
- (2019) Scott Michael Pappada et al. Diabetes Technology & Therapeutics
- On the Possibility of Predicting Glycaemia ‘On the Fly’ with Constrained IoT Devices in Type 1 Diabetes Mellitus Patients.
- (2019) Rodríguez-Rodríguez et al. SENSORS
- Predictive models for diabetes mellitus using machine learning techniques
- (2019) Hang Lai et al. BMC Endocrine Disorders
- Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
- (2019) Syed Hasib Akhter Faruqui et al. JMIR mHealth and uHealth
- Status of glycosylated hemoglobin and prediction of glycemic control among patients with insulin-treated type 2 diabetes in North China
- (2019) Jiao Wang et al. CHINESE MEDICAL JOURNAL
- Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
- (2019) Hasan T. Abbas et al. PLoS One
- Convolutional Recurrent Neural Networks for Glucose Prediction
- (2019) Kezhi Li et al. IEEE Journal of Biomedical and Health Informatics
- Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers
- (2019) Amparo Guemes et al. IEEE Journal of Biomedical and Health Informatics
- A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing
- (2018) Ganjar Alfian et al. SENSORS
- Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review
- (2018) Sumit K. Banchhor et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes
- (2018) Dennis H. Murphree et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning
- (2018) Qingnan Sun et al. IEEE Journal of Biomedical and Health Informatics
- Spectral indices derived, non-parametric Decision Tree Classification approach to lithological mapping in the Lake Magadi area, Kenya
- (2017) Gayantha R. L. Kodikara et al. International Journal of Digital Earth
- Behavioral Counseling to Promote a Healthful Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Cardiovascular Risk Factors
- (2017) et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods
- (2017) J. Ignacio Hidalgo et al. JOURNAL OF MEDICAL SYSTEMS
- NIRCa: An artificial neural network-based insulin resistance calculator
- (2017) Konrad Stawiski et al. PEDIATRIC DIABETES
- Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy
- (2017) Hang Qiu et al. Scientific Reports
- A Novel Classification Indicator of Type 1 and Type 2 Diabetes in China
- (2017) Yannian Wang et al. Scientific Reports
- Screening diabetes mellitus 2 based on electronic health records using temporal features
- (2016) Angela Pimentel et al. Health Informatics Journal
- Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes
- (2016) Sai Ho Ling et al. ISA TRANSACTIONS
- Diabetes mellitus statistics on prevalence and mortality: facts and fallacies
- (2016) Paul Zimmet et al. Nature Reviews Endocrinology
- Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
- (2016) Ramon Casanova et al. PLoS One
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- 2. Classification and Diagnosis of Diabetes
- (2015) DIABETES CARE
- Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models
- (2015) Eleni I. Georga et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- A Novel Adaptive-Weighted-Average Framework for Blood Glucose Prediction
- (2013) Youqing Wang et al. Diabetes Technology & Therapeutics
- A Glucose Model Based on Support Vector Regression for the Prediction of Hypoglycemic Events Under Free-Living Conditions
- (2013) Eleni I. Georga et al. Diabetes Technology & Therapeutics
- Kernel least absolute shrinkage and selection operator regression classifier for pattern classification
- (2013) Jie Xu et al. IET Computer Vision
- Type 1 diabetes
- (2013) Mark A Atkinson et al. LANCET
- Prediction of Fasting Plasma Glucose Status Using Anthropometric Measures for Diagnosing Type 2 Diabetes
- (2013) Bum Ju Lee et al. IEEE Journal of Biomedical and Health Informatics
- Gradient boosting machines, a tutorial
- (2013) Alexey Natekin et al. Frontiers in Neurorobotics
- Generating fuzzy rules for constructing interpretable classifier of diabetes disease
- (2012) Nesma Settouti et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- Preconception Cardiovascular Risk Factors and Pregnancy Outcome
- (2011) Emily W. Harville et al. EPIDEMIOLOGY
- Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor
- (2011) Mohamed Amine Chikh et al. JOURNAL OF MEDICAL SYSTEMS
- Infant feeding and the risk of type 1 diabetes
- (2010) Mikael Knip et al. AMERICAN JOURNAL OF CLINICAL NUTRITION
- The A1C and ABCD of glycaemia management in type 2 diabetes: a physician's personalized approach
- (2010) Paolo Pozzilli et al. DIABETES-METABOLISM RESEARCH AND REVIEWS
- From the Triumvirate to the Ominous Octet: A New Paradigm for the Treatment of Type 2 Diabetes Mellitus
- (2009) R. A. DeFronzo DIABETES
- An Application of Artificial Immune Recognition System for Prediction of Diabetes Following Gestational Diabetes
- (2009) Hung-Chun Lin et al. JOURNAL OF MEDICAL SYSTEMS
- Cord blood islet autoantibodies and seasonal association with the type 1 diabetes high-risk genotype
- (2008) K F Lynch et al. Journal of Perinatology
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