Prediction of Disease Stage by Machine Learning Classification Methods for Covid-19 Patients

Prediction of Disease Stage by Machine Learning Classification Methods for Covid-19 Patients

Supervised machine learning classificitaion algorithms have been widely used in many fields in recent years. Especially, health is one of the most important areas where machine learning studies are carried out successfully. The aim of this study is to develop models that predict the disease stage...

Full description

Saved in:

Bibliographic Details
Main Authors:	Melis Merve Doğançay, özlem Ege Oruç, Melike Şırlancı Tüysüzoğlu, Zeynep Altın
Format:	Article
Language:	English
Published:	Austrian Statistical Society 2024-12-01
Series:	Austrian Journal of Statistics
Online Access:	https://www.ajs.or.at/index.php/ajs/article/view/1799
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms
by: Nasiba M. Abdulkareem, et al.
Published: (2021-05-01)

Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine)
by: Chuin-Hen Liew, et al.
Published: (2025-01-01)

Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction
by: Mohammad Reza Faisal, et al.
Published: (2023-12-01)

Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach
by: Siti Aminah, et al.
Published: (2023-01-01)

Machine learning based prediction models for the prognosis of COVID-19 patients with DKA
by: Zhongyuan Xiang, et al.
Published: (2025-01-01)

Mortality Prediction in COVID-19 Using Time Series and Machine Learning Techniques
by: Tanzina Akter, et al.
Published: (2024-01-01)

A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models
by: Fahmida Kousar, et al.
Published: (2025-01-01)

An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease
by: Md. Jakir Hossen, et al.
Published: (2024-01-01)

Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models
by: Dmytro Chumachenko, et al.
Published: (2023-01-01)

Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis
by: Youness Chawki, et al.
Published: (2024-03-01)

Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model
by: A. M. Mutawa
Published: (2025-01-01)

Machine learning for medical image classification
by: Gazi Husain, et al.
Published: (2024-12-01)

Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach
by: Iqramul Haq, et al.
Published: (2022-01-01)

Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning.
by: Carine Savalli, et al.
Published: (2024-12-01)

A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease
by: Abdelaaziz Hessane, et al.
Published: (2023-09-01)

Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
by: Inam Abousaber, et al.
Published: (2025-01-01)

Machine Learning-Based Models for Prediction of Critical Illness at Community, Paramedic, and Hospital Stages
by: Sijin Lee, et al.
Published: (2023-01-01)

Lung cancer Prediction and Classification based on Correlation Selection method Using Machine Learning Techniques
by: Dakhaz Mustafa Abdullah, et al.
Published: (2021-05-01)

CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS
by: Baigo HAMUNA, et al.
Published: (2024-12-01)

Advancements in Image Classification: From Machine Learning to Deep Learning
by: Cheng Haoran
Published: (2025-01-01)

Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models
by: Nibas Chandra Deb, et al.
Published: (2025-03-01)

Classification of Human Learning Stages via Kernel Distribution Embeddings
by: Madeleine Shuhn-Tsuan Yuh, et al.
Published: (2024-01-01)

Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning
by: Zeynep Kucukakcali, et al.
Published: (2024-04-01)

Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients
by: Nuttinan Nalinthasnai, et al.
Published: (2025-02-01)

COVİD-19 SALGIN DÖNEMİNDE PSİKO-SOSYAL DESTEK UYGULAMASINDA AKTİF ÇALIŞAN SOSYAL HİZMET UZMANLARI ÜZERİNE NİTEL BİR ARAŞTIRMA
by: Merve Nur Oktar, et al.
Published: (2023-03-01)

Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania
by: Ngong'Ho Bujiku Sende, et al.
Published: (2025-01-01)

Machine Learning Techniques for Classification of Stress Levels in Traffic
by: Amanda Trojan Fenerich, et al.
Published: (2024-06-01)

Machine Learning Classifiers Based Classification For IRIS Recognition
by: Bahzad Taha Chicho, et al.
Published: (2021-05-01)

Research on network traffic classification based on machine learning and deep learning
by: Yue GU, et al.
Published: (2021-03-01)

Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers
by: Zeynep KUCUKAKCALI, et al.
Published: (2022-09-01)

A machine learning and clustering-based approach for county-level COVID-19 analysis.
by: Charles Nicholson, et al.
Published: (2022-01-01)

COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm
by: Lozan M. Abdulrahman, et al.
Published: (2021-05-01)

Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data
by: İrem Karakaya
Published: (2025-02-01)

Machine Learning Applications based on SVM Classification A Review
by: Dakhaz Mustafa Abdullah, et al.
Published: (2021-04-01)

An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection
by: Digvijay J. Pawar, et al.
Published: (2024-12-01)

Machine Learning Models for Artist Classification of Cultural Heritage Sketches
by: Gianina Chirosca, et al.
Published: (2024-12-01)

Liver fibrosis stage classification in stacked microvascular images based on deep learning
by: Daisuke Miura, et al.
Published: (2025-01-01)

Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data
by: Avaz Naghipour, et al.
Published: (2024-12-01)

A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome
by: Md. Shaheenur Islam Sumon, et al.
Published: (2025-01-01)

A STUDY ON FORECASTING THE IMPACT OF COVID-19 ON EMERGENCY SERVICE IN A PUBLIC HOSPITAL
by: Şeyma Çelik Eroğlu, et al.
Published: (2022-07-01)