Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods

Type 2 diabetes mellitus in sub-Saharan Africa: challenges and opportunities

(2022) Ayesha A. Motala et al.   Nature Reviews Endocrinology

Risk monitoring strategy for confidentiality of healthcare information

(2022) Muhammad Rizwan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Polyaminoglycoside-mediated cell reprogramming system for the treatment of diabetes mellitus

(2022) Yunqi Pan et al.   JOURNAL OF CONTROLLED RELEASE

An intelligent approach for Arabic handwritten letter recognition using convolutional neural network

(2022) Zahid Ullah et al.   PeerJ Computer Science

Improved prediction of software defects using ensemble machine learning techniques

(2021) Sweta Mehta et al.   NEURAL COMPUTING & APPLICATIONS

Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model

(2021) Jialin Liu et al.   PLoS One

Petri Net based modeling and analysis for improved resource utilization in cloud computing

(2021) Muhammad Rizwan Ali et al.   PeerJ Computer Science

Phthalate exposure and risk of diabetes mellitus: Implications from a systematic review and meta-analysis

(2021) Hong Zhang et al.   ENVIRONMENTAL RESEARCH

Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

(2021) Zahid Ullah et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predicting Lake Erie wave heights and periods using XGBoost and LSTM

(2021) Haoguo Hu et al.   OCEAN MODELLING

Detection of Ionospheric Scintillation Based on XGBoost Model Improved by SMOTE-ENN Technique

(2021) Mengying Lin et al.   Remote Sensing

A comparison of machine learning algorithms for diabetes prediction

(2021) Jobeda Jamal Khanam et al.   ICT Express

A Strategy for Classification of “Vaginal vs. Cesarean Section” Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings

(2019) Saqib Saleem et al.   Frontiers in Physiology

Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques

(2019) Zidian Xie et al.   Preventing Chronic Disease

Predicting Diabetes Mellitus With Machine Learning Techniques

(2018) Quan Zou et al.   Frontiers in Genetics

Performance prediction of roadheaders using ensemble machine learning techniques

(2017) Sadi Evren Seker et al.   NEURAL COMPUTING & APPLICATIONS

Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling

(2010) Julián Luengo et al.   SOFT COMPUTING