Hadi Lotfnezhad Afshar

Author

Urmia University ORCID

Also Known As

Hadi LOTFNEZHAD AFSHAR, Hadi Lotfnejad Afshar, Hadi Lotfnezhad Afshar, Hadi lotfnezhad Afshar

Publications

868

Citations

H-Index

Concepts

All Affiliations

Urmia University Urmia University of Medical Sciences Iran University of Medical Sciences

About

Hadi Lotfnezhad Afshar is an author at Urmia University specializing in health informatics, public health, and customer satisfaction.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Public Health	2	2	50
2	Engineering	1	1	35
3	Medicine	1	1	15
4	Nursing	1	1	15
5	Biostatistics	1	1	35

Hadi Lotfnezhad Afshar

Publications

188

Citations

H-Index

Page 1

	Year	Citations
Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments Hamed Nadri, Bahlol Rahimi, Hadi Lotfnezhad Afshar, Applied Clinical Informatics	2018	72
Prediction of Breast Cancer Survival Through Knowledge Discovery in Databases Hadi Lotfnezhad Afshar, Maryam Ahmadi, Masoud Roudbari, Global Journal of Health Science Breast OncologyEngineeringLife PredictionPrognosisDatabases	2015	35
Smartphone-Based Maternal Education for the Complementary Feeding of Undernourished Children Under 3 Years of Age in Food-Secure Communities: Randomised Controlled Trial in Urmia, Iran Navisa Seyyedi, Bahlol Rahimi, Hamidreza Farrokh‐Eslamlou, Nutrients	2020	23
Prediction of Breast Cancer Survival by Machine Learning Methods: An Application of Multiple Imputation Hadi Lotfnezhad Afshar, Nasrollah Jabbari, Hamid Reza Khalkhali, Iranian Journal of Public Health	2021	20
Using SERVQUAL Model to Assess Hospital Information System Service Quality Mohamad Jebraeily, Bahlol Rahimi, Zahra Zare Fazlollahi, hormozgan medical journal Total Quality ManagementFamily MedicineCustomer SatisfactionQuality MetricPsm Performance	2019	15
Application of Canonical Correlation Analysis for Detecting Risk Factors Leading to Recurrence of Breast Cancer Farahnaz Sadoughi, Hadi Lotfnezhad Afshar, Asiie Olfatbakhsh, Iranian Red Crescent Medical Journal	2015	13
Predicting stroke severity of patients using interpretable machine learning algorithms Amir Sorayaie Azar, Tahereh Samimi, Ghanbar Tavassoli, European journal of medical research	2024	10

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