Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Authors
Keywords
-
Journal
Information Fusion
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-03-07
DOI
10.1016/j.inffus.2021.02.015
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
- (2020) Shaherin Basith et al. MEDICINAL RESEARCH REVIEWS
- COVID-19 and diabetes: Knowledge in progress
- (2020) Akhtar Hussain et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- Prevalence and impact of diabetes among people infected with SARS-CoV-2
- (2020) G. P. Fadini et al. JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION
- SARS-CoV-2 and diabetes: New challenges for the disease
- (2020) Cecília Cristelo et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- THPep: A machine learning-based approach for predicting tumor homing peptides
- (2019) Watshara Shoombuatong et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- IDF Diabetes Atlas: A review of studies utilising retinal photography on the global prevalence of diabetes related retinopathy between 2015 and 2018
- (2019) R.L. Thomas et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- Use of the waist-to-height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE-ON study
- (2018) Karin Rådholm et al. DIABETES OBESITY & METABOLISM
- PEA: Parallel electrocardiogram-based authentication for smart healthcare systems
- (2018) Yin Zhang et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Survey of Machine Learning Techniques in Drug Discovery
- (2018) Natalie Stephenson et al. CURRENT DRUG METABOLISM
- Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
- (2018) Marinka Zitnik et al. Information Fusion
- A survey for predicting enzyme family classes using machine learning methods
- (2018) Jiu-Xin Tan et al. CURRENT DRUG TARGETS
- Consumer credit, chronic disease and risk behaviours
- (2018) Lorraine T Dean et al. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
- Predicting Diabetes Mellitus With Machine Learning Techniques
- (2018) Quan Zou et al. Frontiers in Genetics
- New approach to weight-of-evidence assessment of ecotoxicological effects in regulatory decision-making
- (2017) A Tilghman Hall et al. Integrated Environmental Assessment and Management
- Machine Learning and Data Mining Methods in Diabetes Research
- (2017) Ioannis Kavakiotis et al. Computational and Structural Biotechnology Journal
- Diabetes and Complications: Cellular Signaling Pathways, Current Understanding and Targeted Therapies
- (2016) Krishna A. Adeshara et al. CURRENT DRUG TARGETS
- GroRec: A Group-Centric Intelligent Recommender System Integrating Social, Mobile and Big Data Technologies
- (2016) Yin Zhang IEEE Transactions on Services Computing
- BMI, leisure-time physical activity, and physical fitness in adults in China: results from a series of national surveys, 2000–14
- (2016) Ye Tian et al. Lancet Diabetes & Endocrinology
- Blood Pressure Lowering in Type 2 Diabetes
- (2015) Connor A. Emdin et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- On the use of partial area under the ROC curve for comparison of two diagnostic tests
- (2014) Hua Ma et al. BIOMETRICAL JOURNAL
- 2. Classification and Diagnosis of Diabetes
- (2014) DIABETES CARE
- Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes
- (2014) Sophia Zoungas et al. DIABETOLOGIA
- Credit scores, cardiovascular disease risk, and human capital
- (2014) Salomon Israel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Predicting Risk of Type 2 Diabetes Mellitus with Genetic Risk Models on the Basis of Established Genome-wide Association Markers: A Systematic Review
- (2013) Wei Bao et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Nonlaboratory-Based Risk Assessment Algorithm for Undiagnosed Type 2 Diabetes Developed on a Nation-Wide Diabetes Survey
- (2013) X. Zhou et al. DIABETES CARE
- Assessing the Clinical Utility of a Genetic Risk Score Constructed Using 49 Susceptibility Alleles for Type 2 Diabetes in a Japanese Population
- (2013) Minako Imamura et al. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
- Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity
- (2012) Julie-Anne Nazare et al. AMERICAN JOURNAL OF CLINICAL NUTRITION
- A simple Chinese risk score for undiagnosed diabetes
- (2010) W. G. Gao et al. DIABETIC MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started