Related references
Note: Only part of the references are listed.Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Sweta Bhattacharya et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer
Sufang Tian et al.
JOURNAL OF THORACIC ONCOLOGY (2020)
Concerns Regarding the Article Entitled 'Safe Handling of Containers of Expressed Human Milk in all Settings During the SARS-CoV-2 (COVID-19)'
Katrina B. Mitchell et al.
JOURNAL OF HUMAN LACTATION (2020)
Deep neural networks to predict diabetic retinopathy
Thippa Reddy Gadekallu et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)
COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm
Celestine Iwendi et al.
FRONTIERS IN PUBLIC HEALTH (2020)
N-Sanitization: A semantic privacy-preserving framework for unstructured medical datasets
Celestine Iwendi et al.
COMPUTER COMMUNICATIONS (2020)
The acceptance of Covid-19 tracking technologies: The role of perceived threat, lack of control, and ideological beliefs
Anna Wnuk et al.
PLOS ONE (2020)
Analysis of Dimensionality Reduction Techniques on Big Data
G. Thippa Reddy et al.
IEEE ACCESS (2020)
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari et al.
CATENA (2019)
A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data
Wenbing Chang et al.
DIAGNOSTICS (2019)
Big Data for Cybersecurity: Vulnerability Disclosure Trends and Dependencies
MingJian Tang et al.
IEEE TRANSACTIONS ON BIG DATA (2019)
Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients
Ronilda C. Lacson et al.
CLINICAL KIDNEY JOURNAL (2019)
An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach
Zhennao Cai et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2018)
Cancers classification based on deep neural networks and emotional learning approach
Noushin Jafarpisheh et al.
IET SYSTEMS BIOLOGY (2018)
Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions
Ahmed Al-Nasheri et al.
IEEE ACCESS (2018)
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM
J. M. Gorriz et al.
IEEE ACCESS (2017)
A Systematic Comparison of Supervised Classifiers
Diego Raphael Amancio et al.
PLOS ONE (2014)