Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach
Abstract Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions. In this research the association betw...
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Nature Portfolio
2025-01-01
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| author | Nafiseh Hosseini Sara Saffar Soflaei Pooria Salehi-Sangani Mahdiyeh Yaghooti-Khorasani Bahram Shahri Helia Rezaeifard Habibollah Esmaily Gordon A. Ferns Mohsen Moohebati Majid Ghayour-Mobarhan |
| author_facet | Nafiseh Hosseini Sara Saffar Soflaei Pooria Salehi-Sangani Mahdiyeh Yaghooti-Khorasani Bahram Shahri Helia Rezaeifard Habibollah Esmaily Gordon A. Ferns Mohsen Moohebati Majid Ghayour-Mobarhan |
| author_sort | Nafiseh Hosseini |
| collection | DOAJ |
| description | Abstract Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions. In this research the association between hematological factors and PVC was studied. In this study, 9,035 participants were enrolled in the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study. The association of hematological factors with PVC was evaluated using different machine learning (ML) algorithms, including logistic regression (LR), C5.0, and boosting decision tree (DT). The dataset was divided into training and test, and each model’s performance was appraised on the test dataset. All data analyses used SPSS version 26 and SPSS Modeler 10. The results show that the Boosting DT was the most effective algorithm. Boosting DT had an accuracy of 98.13% and 96.92% for males and females respectively. According to the models, RDW and PLT were the most significant hematological factors for both males and females. WBC, PDW, and HCT for males and RBC, MCV, and MXD for females were also important. Some hematological factors associated with PVC were found using ML models. Further studies are needed to confirm these results in other populations, considering the novelty of the exploration of the relationship between hematological parameters and PVC. |
| format | Article |
| id | doaj-art-ed92e6eefb024b4dbbb82fdaacef4250 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-ed92e6eefb024b4dbbb82fdaacef42502025-01-26T12:27:59ZengNature PortfolioScientific Reports2045-23222025-01-0115111210.1038/s41598-025-86557-zAssociation of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approachNafiseh Hosseini0Sara Saffar Soflaei1Pooria Salehi-Sangani2Mahdiyeh Yaghooti-Khorasani3Bahram Shahri4Helia Rezaeifard5Habibollah Esmaily6Gordon A. Ferns7Mohsen Moohebati8Majid Ghayour-Mobarhan9Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical SciencesInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical SciencesStudent Research Committee, Faculty of Medicine, Mashhad University of Medical SciencesRadiation Oncology Research Center, Cancer Research Institute, Tehran University of Medical SciencesDepartment of Cardiology, Faculty of Medicine, Mashhad University of Medical SciencesInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical SciencesDepartment of Biostatistics, School of Health, Mashhad University of Medical SciencesDivision of Medical Education, Brighton and Sussex Medical SchoolInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical SciencesInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical SciencesAbstract Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions. In this research the association between hematological factors and PVC was studied. In this study, 9,035 participants were enrolled in the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study. The association of hematological factors with PVC was evaluated using different machine learning (ML) algorithms, including logistic regression (LR), C5.0, and boosting decision tree (DT). The dataset was divided into training and test, and each model’s performance was appraised on the test dataset. All data analyses used SPSS version 26 and SPSS Modeler 10. The results show that the Boosting DT was the most effective algorithm. Boosting DT had an accuracy of 98.13% and 96.92% for males and females respectively. According to the models, RDW and PLT were the most significant hematological factors for both males and females. WBC, PDW, and HCT for males and RBC, MCV, and MXD for females were also important. Some hematological factors associated with PVC were found using ML models. Further studies are needed to confirm these results in other populations, considering the novelty of the exploration of the relationship between hematological parameters and PVC.https://doi.org/10.1038/s41598-025-86557-zPremature ventricular contractionPVCComplete blood countCBCData MiningHematological parameters |
| spellingShingle | Nafiseh Hosseini Sara Saffar Soflaei Pooria Salehi-Sangani Mahdiyeh Yaghooti-Khorasani Bahram Shahri Helia Rezaeifard Habibollah Esmaily Gordon A. Ferns Mohsen Moohebati Majid Ghayour-Mobarhan Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach Scientific Reports Premature ventricular contraction PVC Complete blood count CBC Data Mining Hematological parameters |
| title | Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach |
| title_full | Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach |
| title_fullStr | Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach |
| title_full_unstemmed | Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach |
| title_short | Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach |
| title_sort | association of premature ventricular contraction pvc with hematological parameters a data mining approach |
| topic | Premature ventricular contraction PVC Complete blood count CBC Data Mining Hematological parameters |
| url | https://doi.org/10.1038/s41598-025-86557-z |
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