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Cirruse Salehnasab

Observed names: C Salehnasab, Cirrus Salehnasab, Cirruse Salehnesab, Salehnasab, C
ORCID: 0000-0002-5615-9307
Observed ORCID: 0000-0002-5615-9307
OpenAlex ID: A5073090970
Leveraging XGBoost and explainable AI for accurate prediction of type 2 diabetes
2025 · Zahra Rafie, Moslem Sedaghat Talab, et al. · BMC Public Health · 81
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Supervised Algorithms of Machine Learning for the Prediction of Cervical Cancer
2020 · Asadi, F, Salehnasab, C, et al. · Journal of Biomedical Physics and Engineering · 79
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Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms
2022 · Ali Garavand, Cirruse Salehnasab, et al. · Journal of Healthcare Engineering · 76
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Artificial intelligence in polycystic ovary syndrome: a systematic review of diagnostic and predictive applications
2025 · Mustafa Ghaderzadeh, Ali Garavand, et al. · BMC Medical Informatics and Decision Making · 58
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Assessing the risk factors before pregnancy of preterm births in Iran: a population-based case-control study
2019 · Maryam Soltani, Hamid Reza Tabatabaee, et al. · BMC Pregnancy and Childbirth · 39
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Classification Models to Predict Survival of Kidney Transplant Recipients Using Two Intelligent Techniques of Data Mining and Logistic Regression.
2017 · M Nematollahi, R Akbari, et al. · PubMed Central · 28
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Explainable extratreeclassifier model for early detection of type 2 diabetes: evidence from the PERSIAN Dena Cohort
2025 · Mustafa Ghaderzadeh, Zahra Rafie, et al. · BMC Medical Informatics and Decision Making · 25
Predictors of length of stay in the coronary care unit in patient with acute coronary syndrome based on data mining methods
2019 · Abbas Rezaianzadeh, Maryam Dastoorpoor, et al. · Clinical Epidemiology and Global Health · 17
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Predictive Modeling of COVID-19 Hospitalization Using Twenty Machine Learning Classification Algorithms on Cohort Data
2023 · Zeynab Salehnasab, Ali Mousavizadeh, et al. · Frontiers in Health Informatics · 13
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Machine Learning Classification Algorithms to Predict aGvHD following Allo-HSCT: A Systematic Review
2019 · Cirruse Salehnasab, Abbas Hajifathali, et al. · Methods of Information in Medicine · 13
An Intelligent Clinical Decision Support System for Predicting Acute Graft-versus-host Disease (aGvHD) following Allogeneic Hematopoietic Stem Cell Transplantation
2021 · Cirruse Salehnasab, Abbas Hajifathali, et al. · Journal of Biomedical Physics and Engineering · 12
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MOCRA: A multi-algorithm clinical decision support system for the early detection of ovarian cancer
2025 · Ahmadreza Safaie, Parvin Ghaffari, et al. · Journal of Ovarian Research · 8
Mendeley Readers of Highly-Cited Articles in Medical Sciences: Is It Correlated With Citations?
2022 · Farshad Baroonzadeh, Maryam Shekofteh, et al. · Serials Review · 6
The relationship between physical violence during pregnancy and stillbirth and neonatal mortality
2018 · Tannaz Valadbeigi, Hasan Ahmadi Gharaei, et al. · 3
Predicting anemia risk in Iranian adults without diagnostic blood indices: an interpretable machine learning approach integrating dietary, clinical, and non-diagnostic laboratory patterns
2026 · Azizollah Pourmahmoudi, Janmohamad Malekzadeh, et al. · Scientific Reports · 2
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Investigating the effect of guided self-help through social networks on post-traumatic stress disorder symptoms and resilience of mothers with children suffering from febrile seizures
2025 · Iman Seyfi, Zohreh Karimi, et al. · Journal of Education and Health Promotion · 1
Advanced Predictive Modeling of Type 2 Diabetes Using XGBoost and Explainable AI
2024 · Zahra Rafie, Moslem Sedaghat Talab, et al. · Research Square · 1
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Use Association Rules (a Priori Algorithm) to Study the Relation Between Variables That Affect High Blood Pressure
2017 · Cirruse Salehnasab, Fuad Jahandideh, et al. · Acta healthmedica · 1
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The increasing complexity of hematological malignancies requires advanced multidisciplinary clinical decision-support systems. Traditional predictive AI models face limitations in explainability and multi-step reasoning.
2026 · Cirruse Salehnasab, Yasuj University of Medical Sciences
Mapping randomized evidence on artificial intelligence-based educational interventions and learning outcomes in nursing students: a scoping review
2026 · Naeem Abdi, Cirruse Salehnasab, et al. · BMC Medical Education
Prevalence, incidence, and risk factors of thyroid disorders in a southwestern Iranian population: findings from the PERSIAN Dena Cohort Study
2026 · Marziye Nejatiyan, Cirruse Salehnasab, et al. · BMC Endocrine Disorders
Evaluation of the Quality of Mobile Health Applications for Medication Adherence in Iran
2026 · M Samadbeik, A Garavand, et al. · DOAJ (DOAJ: Directory of Open Access Journals)
Association of Body Composition and Biochemical Indicators with Serum Ferritin Levels in Patients with β-thalassemia Major: A Cross-Sectional Study
2025 · Cirruse Salehnasab, Farzad Karimpour, et al. · Iranian Journal of Pediatric Hematology & Oncology
The relationship of digestive system diseases in pregnant women with stillbirth and neonatal death in Iran: A population-based case–control study
2017 · HamidReza Tabatabaee, Halimeh Yaghoobi, et al. · Annals of Tropical Medicine and Public Health
Works count: 24
Citation count: 463
H-index: 11
I10-index: 11
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