相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model
Avivit Cahn et al.
DIABETES-METABOLISM RESEARCH AND REVIEWS (2020)
Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model
Thippa Reddy Gadekallu et al.
ELECTRONICS (2020)
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine
Michele Bernardini et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
A Deep Learning Model for Estimation of Patients with Undiagnosed Diabetes
Kwang Sun Ryu et al.
APPLIED SCIENCES-BASEL (2020)
Prediction of Type 2 Diabetes using Machine Learning Classification Methods
Neha Prerna Tigga et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence
Sebastian Raschka et al.
INFORMATION (2020)
Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques
Zidian Xie et al.
PREVENTING CHRONIC DISEASE (2019)
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records
Binh P. Nguyen et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
PyRates-A Python framework for rate-based neural simulations
Richard Gast et al.
PLOS ONE (2019)
Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks
Byoung Geol Choi et al.
YONSEI MEDICAL JOURNAL (2019)
Type 2 diabetes data classification using stacked autoencoders in deep neural networks
K. Kannadasan et al.
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH (2019)
Screening diabetes mellitus 2 based on electronic health records using temporal features
Angela Pimentel et al.
HEALTH INFORMATICS JOURNAL (2018)
Machine learning techniques for medical diagnosis of diabetes using iris images
Piyush Samant et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
Performance improvement of deep neural network classifiers by a simple training strategy
Abdullah Caliskan et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)
Predicting Diabetes Mellitus With Machine Learning Techniques
Quan Zou et al.
FRONTIERS IN GENETICS (2018)
A machine learning-based framework to identify type 2 diabetes through electronic health records
Tao Zheng et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2017)
A Deep Learning Approach to Adherence Detection for Type 2 Diabetics
Ali Mohebbi et al.
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (2017)
Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques
Francesco Mercaldo et al.
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (2017)
Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning
Bum Ju Lee et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)