Hadi Kazemi-Arpanahi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Endoscopic Submucosal Dissection

Machine Learning

Chronic Myeloid Leukemia

Top Venues

BMC medical informatics and decision making

BMC infectious diseases

Medical journal of the Islamic Republic of Iran

BMC gastroenterology

This page only lists publications with an associated author ORCID identifier.

Publications

Razieh Mirzaeian, Mohsen Shafiee, Mohammad Reza Afrash, Hadi Kazemi-Arpanahi
Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people. BMC health services research 24 (1) (2024)
Khadijeh Moulaei, Mohammad Mahboubi, Sasan Ghorbani Kalkhajeh, Hadi Kazemi-Arpanahi
Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques. Scientific reports 14 (1) (2024)
Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. BMC medical informatics and decision making 23 (1) (2023)
Mohammad Reza Afrash, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors. BMC gastroenterology 23 (1) (2023)
Mohammad Reza Afrash, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors. BMC gastroenterology 23 (1) (2023)
Seyed Salman Zakariaee, Negar Naderi, Mahdi Ebrahimi, Hadi Kazemi-Arpanahi
Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data. Scientific reports 13 (1) (2023)
Razieh Mirzaeian, Raoof Nopour, Zahra Asghari Varzaneh, Mohsen Shafiee, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms? Biomedical engineering online 22 (1) (2023)
Mohammad Reza Afrash, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors. BMC gastroenterology 23 (1) (2023)
Mostafa Shanbehzadeh, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms. BMC medical informatics and decision making 23 (1) (2023)
Azam Orooji, Mostafa Shanbehzadeh, Esmat Mirbagheri, Hadi Kazemi-Arpanahi
Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19. BMC infectious diseases 22 (1) (2022)
Zahra Mahmoudvand, Mostafa Shanbehzadeh, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Developing the minimum data set of the corrosive ingestion registry system in Iran. BMC health services research 22 (1) (2022)
Mohsen Shafiee, Mohammad Mahboubi, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran. BMC medical informatics and decision making 22 (1) (2022)
Mohsen Shafiee, Mostafa Shanbehzadeh, Zeinab Nassari, Hadi Kazemi-Arpanahi
Development and evaluation of an electronic nursing documentation system. BMC nursing 21 (1) (2022)
Azam Orooji, Mostafa Shanbehzadeh, Esmat Mirbagheri, Hadi Kazemi-Arpanahi
Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19. BMC infectious diseases 22 (1) (2022)
Azam Orooji, Mostafa Shanbehzadeh, Esmat Mirbagheri, Hadi Kazemi-Arpanahi
Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19. BMC infectious diseases 22 (1) (2022)
Azam Orooji, Mostafa Shanbehzadeh, Esmat Mirbagheri, Hadi Kazemi-Arpanahi
Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19. BMC infectious diseases 22 (1) (2022)
Mostafa Shanbehzadeh, Mohammad Reza Afrash, Nader Mirani, Hadi Kazemi-Arpanahi
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia. BMC medical informatics and decision making 22 (1) (2022)
Mohsen Shafiee, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Establishing a minimum data set for suicide and attempted suicide registry system in Iran. BMC public health 22 (1) (2022)
Mostafa Shanbehzadeh, Mostafa Shanbehzadeh, Mohsen Shafiee, Hadi Kazemi-Arpanahi
Predictive modeling for COVID-19 readmission risk using machine learning algorithms. BMC medical informatics and decision making 22 (1) (2022)
Raoof Nopour, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Predicting the Need for Intubation among COVID-19 Patients Using Machine Learning Algorithms: A Single-Center Study. Medical journal of the Islamic Republic of Iran 36 (2022)
Raoof Nopour, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer. Medical journal of the Islamic Republic of Iran 35 (2021)
Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Development of minimal basic data set to report COVID-19. Medical journal of the Islamic Republic of Iran 34 (2020)