日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Predicting and classifying type 2 diabetes using a transparent ensemble model combining random forest, k-nearest neighbor, and neural networks

利用结合随机森林、k近邻和神经网络的透明集成模型预测和分类2型糖尿病

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-31562-5
Zaferani, Niloufar; Afrash, Mohammad Reza; Moulaei, Khadijeh
糖尿病
代谢
发表日期：2025
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Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications

利用人工智能预测间皮瘤：常用模型和应用范围综述

期刊:Technology in Cancer Research & Treatment
影响因子:2.8
doi:10.1177/15330338251341053
Ram, Malihe; Afrash, Mohammad Reza; Moulaei, Khadijeh; Esmaeeli, Erfan; Khorashadizadeh, Mohadeseh Sadat; Garavand, Ali; Amiri, Parastoo; Sabahi, Azam
发表日期：2025
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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models

利用可解释人工智能（XAI）预测甲醇中毒患者是否需要插管：一项比较深度学习模型和机器学习模型的研究

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-66481-4
Moulaei, Khadijeh; Afrash, Mohammad Reza; Parvin, Mohammad; Shadnia, Shahin; Rahimi, Mitra; Mostafazadeh, Babak; Evini, Peyman Erfan Talab; Sabet, Babak; Vahabi, Seyed Mohammad; Soheili, Amirali; Fathy, Mobin; Kazemi, Arya; Khani, Sina; Mortazavi, Seyed Mohammad; Hosseini, Sayed Masoud
发表日期：2024
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Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models

通过比较深度学习和机器学习模型，实现用于中风预测的可解释人工智能

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-82931-5
Moulaei, Khadijeh; Afshari, Lida; Moulaei, Reza; Sabet, Babak; Mousavi, Seyed Mohammad; Afrash, Mohammad Reza
中风
心血管
发表日期：2024
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A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing

一个旨在推进最常见疾病和病症自我护理流程的国家平台：设计、评估和实施

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-024-02744-4
Moulaei, Khadijeh; Salehi, Somayeh; Shahabian, Masoud; Sabet, Babak; Rezaei, Farshid; Habibzadeh, Adrina; Afrash, Mohammad Reza
发表日期：2024
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Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

利用机器学习算法预测接受血液透析的中毒患者的预后

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-024-02443-0
Rahimi, Mitra; Afrash, Mohammad Reza; Shadnia, Shahin; Mostafazadeh, Babak; Evini, Peyman Erfan Talab; Bardsiri, Mohadeseh Sarbaz; Ramezani, Maral
发表日期：2024
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Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review

人工智能在慢性粒细胞白血病（CML）疾病预测和管理中的应用：范围综述

期刊:BMC Cancer
影响因子:3.4
doi:10.1186/s12885-024-12764-y
Ram, Malihe; Afrash, Mohammad Reza; Moulaei, Khadijeh; Parvin, Mohammad; Esmaeeli, Erfan; Karbasi, Zahra; Heydari, Soroush; Sabahi, Azam
白血病
细胞生物学
粒细胞
发表日期：2024
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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

确定伊朗初级卫生保健转诊系统中老年评估的最小数据集：从碎片化照护向整合式照护转变

期刊:BMC Health Services Research
影响因子:
doi:10.1186/s12913-024-11498-8
Mirzaeian, Razieh; Shafiee, Mohsen; Afrash, Mohammad Reza; Kazemi-Arpanahi, Hadi
发表日期：2024
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Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

利用特征选择技术和机器学习算法优化胃癌患者五年生存预后因素：一项比较研究

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-023-02154-y
Afrash, Mohammad Reza; Mirbagheri, Esmat; Mashoufi, Mehrnaz; Kazemi-Arpanahi, Hadi
胃癌
肿瘤
肿瘤免疫
发表日期：2023
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Neurofeedback training and motor learning: the enhanced sensorimotor rhythm protocol is better or the suppressed alpha or the suppressed mu?

神经反馈训练与运动学习：增强感觉运动节律方案、抑制α波方案还是抑制μ波方案更好？

期刊:BMC Sports Science Medicine and Rehabilitation
影响因子:2.8
doi:10.1186/s13102-023-00706-3
Afrash, Sana; Saemi, Esmaeel; Gong, Anmin; Doustan, Mohammadreza
发表日期：2023
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