MEHMET ALİ KOBAT

About MEHMET ALİ KOBAT

MEHMET ALİ KOBAT, With an exceptional h-index of 16 and a recent h-index of 12 (since 2020), a distinguished researcher at Firat Üniversitesi, specializes in the field of Coronary Artery Disease, Artificial intelligence, Electrocardiography, Cardiology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effect of altitude on ticagrelor-induced dyspnea in patients with acute coronary syndrome

Neutrophil-to-albumin ratio: a promising tool for CAD assessment in non-ST elevation AMI.

TurkerNeXt: A Deep Learning Approach for Automated Heart Failure Diagnosis Using X-Ray Images.

CHA₂DS₂-VASc score as a predictor of new onset atrial fibrillation in patients with non-ST segment elevation myocardial infarction who underwent percutaneous coronary …

CHA2DS2-VASc score as a predictor of new onset atrial fibrillation in patients with non-ST segment elevation myocardial infarction who underwent percutaneous …

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection

Spexin level in acute myocardial infarction in the emergency department

Plasma and aqueous levels of subfatin, preptin and betatrophin in patients with diabetic retinopathy

MEHMET ALİ KOBAT Information

University

Position

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Citations(all)

867

Citations(since 2020)

458

Cited By

530

hIndex(all)

16

hIndex(since 2020)

12

i10Index(all)

21

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

MEHMET ALİ KOBAT Skills & Research Interests

Coronary Artery Disease

Artificial intelligence

Electrocardiography

Cardiology

Top articles of MEHMET ALİ KOBAT

Effect of altitude on ticagrelor-induced dyspnea in patients with acute coronary syndrome

Journal of International Medical Research

2023/4

Neutrophil-to-albumin ratio: a promising tool for CAD assessment in non-ST elevation AMI.

European Review for Medical & Pharmacological Sciences

2023/12/15

TurkerNeXt: A Deep Learning Approach for Automated Heart Failure Diagnosis Using X-Ray Images.

E Journal of Cardiovascular Medicine

2023/12/2

CHA₂DS₂-VASc score as a predictor of new onset atrial fibrillation in patients with non-ST segment elevation myocardial infarction who underwent percutaneous coronary …

2023/10/25

CHA2DS2-VASc score as a predictor of new onset atrial fibrillation in patients with non-ST segment elevation myocardial infarction who underwent percutaneous …

Annals of Medical of Research

2023/10/1

Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection

Multimedia Tools and Applications

2023/9/28

Spexin level in acute myocardial infarction in the emergency department

Journal of Medical Biochemistry

2023/8/8

Plasma and aqueous levels of subfatin, preptin and betatrophin in patients with diabetic retinopathy

BMC ophthalmology

2023/7/11

Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical …

International Journal of Imaging Systems and Technology

2023/7

Evaluation of the Effects of Dual Antiplatelet Therapy on Guided Bone Regeneration in Peri-Implant Bone Defect

Journal of Craniofacial Surgery

2023/7/1

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals

International Journal of Machine Learning and Cybernetics

2023/5

Pulmonary Hypertension Classification using Artificial Intelligence and Chest X-Ray: ATA AI STUDY-1

medRxiv

2023/4/17

DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis

Medical Engineering & Physics

2022/12/1

Heart failure with preserved ejection fraction: A mini review

2022/7/22

An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds

Computers in Biology and Medicine

2022/7/1

Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images

Chemometrics and Intelligent Laboratory Systems

2022/5/15

The effects of dual anti-platelet therapy on titanium implant osseointegration: an experimental study

Journal of Health Sciences and Medicine

2022/1/1

New human identification method using Tietze graph-based feature generation

Soft Computing

2021

Automated COVID-19 and heart failure detection using DNA pattern technique with cough sounds

Diagnostics

2021/10/22

Prismatoidpatnet54: An accurate ECG signal classification model using prismatoid pattern-based learning architecture

Symmetry

2021/10/11

See List of Professors in MEHMET ALİ KOBAT University(Firat Üniversitesi)

Co-Authors

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