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Sahar Shariatnia
Institutions:
Mashhad University of Medical Sciences,
Golestan University,
Golestan University of Medical Sciences,
North Khorasan University of Medical Sciences
Observed institutions:
Mashhad University of Medical Sciences,
Golestan University,
Golestan University of Medical Sciences,
North Khorasan University of Medical Sciences
ORCID:
0000-0001-8314-2933
Observed ORCID:
0000-0001-8314-2933
OpenAlex ID:
A5034025471
Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study
2022
·
Sahar Shariatnia
, Majid Ziaratban
, et al.
·
BMC Medical Informatics and Decision Making
·
32
PDF
Nanostructured lipid carriers for l-carnitine delivery: physicochemical characterization and effects on asthenozoospermic sperm function in vitro
2025
·
Aniseh Mardanpoor Moghadam
, Sonia Fathi-karkan
, et al.
·
Scientific Reports
·
1
PDF
Regression model of fear of childbirth in pregnant women
2025
·
Farzaneh Rashidi
, Nazanin Hesari
, et al.
·
BMC Public Health
·
1
PDF
Association between sperm parameters and recurrent pregnancy loss in infertile couples: a cross-sectional study
2026
·
Farzaneh Rashidi
, Fatemeh Tanhaye Kalate Sabz
, et al.
·
Revista Brasileira Ginecologia e Obstetrícia
Comparing the Performances of Support Vector Machines and Artificial Neural Networks for Predicting Coronary Artery Diseases: A Cross‐Sectional Study
2026
·
Sahar Shariatnia
, Abdolhalim Rajabi
, et al.
·
Cardiology Research and Practice
Study of the relationship between sleep disorders and post-traumatic stress after perinatal trauma in pregnant women
2025
·
Farzaneh Rashidi
, Marzieh Shakeri
, et al.
·
مجله دانشگاه علوم پزشکی تربت حیدریه
PDF
Examining the Usability of The SIPAD System Using an Exploratory Evaluation Method
2025
·
Marziyhe Meraji
, Sahar Shariatnia
, et al.
·
Journal of Health and Biomedical Informatics
PDF
Comparing the performances of support vector machines, artificial neural network, and a logistic regression model for predicting coronary artery diseases: a cross‑sectional study
2023
·
Sahar Shariatnia
, Abdolhalim Rajabi
, et al.
·
Research Square
PDF
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Works count:
8
Citation count:
34
H-index:
1
I10-index:
1
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