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Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers

Annals of medicine (Helsinki), 2023-12, Vol.55 (1), p.2233541-2233541

2023

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Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach

Intelligent decision technologies, 2023-11, Vol.17 (4), p.959-982

2023

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Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers

Scientific reports, 2024-01, Vol.14 (1), p.1783-1783, Article 1783

2024

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Medical diagnosis of COVID-19 using blood tests and machine learning

Journal of physics. Conference series, 2022-01, Vol.2161 (1), p.12017

2022

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An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas

IEEE access, 2024, Vol.12, p.75010-75033

2024

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Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning

Interdisciplinary sciences : computational life sciences, 2022-06, Vol.14 (2), p.452-470

2022

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A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

Bioengineering (Basel), 2023-03, Vol.10 (4), p.439

2023

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AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-19

2022

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A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients

Healthcare analytics (New York, N.Y.), 2023-11, Vol.3, p.100170, Article 100170

2023

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Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters

Information (Basel), 2022-07, Vol.13 (7), p.330

2022

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Detection of sickle cell disease using deep neural networks and explainable artificial intelligence

Journal of intelligent systems, 2024-04, Vol.33 (1), p.1-22

2024

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Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI

IEEE access, 2024, Vol.12, p.31697-31718

2024

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A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

Applied system innovation, 2023-02, Vol.6 (2), p.32

2023

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Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach

Cogent engineering, 2022-12, Vol.9 (1)

2022

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Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images

Healthcare (Basel), 2022-09, Vol.10 (10), p.1812

2022

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IoT-based greenhouse technologies for enhanced crop production: a comprehensive study of monitoring, control, and communication techniques

Systems science & control engineering, 2024-12, Vol.12 (1)

2024

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Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

Cogent engineering, 2024-12, Vol.11 (1)

2024

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence

Systems science & control engineering, 2024-12, Vol.12 (1)

2024

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Wavelet scattering‐ and object detection‐based computer vision for identifying dengue from peripheral blood microscopy

International journal of imaging systems and technology, 2024-01, Vol.34 (1), p.n/a

2024

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An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence

Systems science & control engineering, 2024-12, Vol.12 (1)

2024

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Battling COVID-19 using machine learning: A review

Cogent engineering, 2021-01, Vol.8 (1)

2021

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Detection of anemic condition in patients from clinical markers and explainable artificial intelligence

Technology and health care, 2024-01, Vol.32 (4), p.2431-2444

2024

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Classification of Malaria Using Object Detection Models

Informatics (Basel), 2022-09, Vol.9 (4), p.76

2022

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Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

Information (Basel), 2023-08, Vol.14 (8), p.435

2023

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SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques

SLAS technology, 2024-04, Vol.29 (2), p.100129-100129, Article 100129

2024

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Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach

Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers

Medical diagnosis of COVID-19 using blood tests and machine learning

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas

Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning

A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model

A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters

Detection of sickle cell disease using deep neural networks and explainable artificial intelligence

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach

Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images

IoT-based greenhouse technologies for enhanced crop production: a comprehensive study of monitoring, control, and communication techniques

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence

Wavelet scattering‐ and object detection‐based computer vision for identifying dengue from peripheral blood microscopy

An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence

Battling COVID-19 using machine learning: A review

Detection of anemic condition in patients from clinical markers and explainable artificial intelligence

Classification of Malaria Using Object Detection Models

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques

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