Zobrazeno 1 - 10
of 3 231
pro vyhledávání: '"A Forouzanfar"'
Autor:
A Forouzanfar, M Sayadi
Publikováno v:
Armaghane Danesh Bimonthly Journal, Vol 24, Iss 1, Pp 97-109 (2019)
Background & aim: Marital problems and conflicts among couples have made it necessary to consider some interventions before the crisis condition. In the realm of family psychology and counseling, different couples-therapy approaches have been shaped
Externí odkaz:
https://doaj.org/article/d64212f85d304c67a365c0e871d0a7fe
Precise estimation of cardiac patients' current and future comorbidities is an important factor in prioritizing continuous physiological monitoring and new therapies. ML models have shown satisfactory performance in short-term mortality prediction of
Externí odkaz:
http://arxiv.org/abs/2403.01533
Publikováno v:
Intelligent Medicine, Vol 4, Iss 3, Pp 170-176 (2024)
Background: Precise estimation of current and future comorbidities of patients with cardiovascular disease is an important factor in prioritizing continuous physiological monitoring and new therapies. Machine learning (ML) models have shown satisfact
Externí odkaz:
https://doaj.org/article/a81329e36c894638aa8e02d1a0addc7c
Autor:
Carolina Stevanie, Yossy Yoanita Ariestiana, Faqi Nurdiansyah Hendra, Muh Anshar, Paolo Boffano, Tymour Forouzanfar, Cortino Sukotjo, Sri Hastuti Kurniawan, Muhammad Ruslin
Publikováno v:
Maxillofacial Plastic and Reconstructive Surgery, Vol 46, Iss 1, Pp 1-15 (2024)
Abstract Introduction Orthognathic surgery (OGS) is a highly sophisticated surgical technique that aims to repair a variety of skeletal and dental abnormalities, including misaligned jaws and teeth. It requires precise preoperative preparation and ad
Externí odkaz:
https://doaj.org/article/769d516efda74344aa578aaaac90f263
Autor:
Farzaneh Forouzanfar, Sheida Jabalameli, Mohammad Soltanizadeh, Seyyed Mohammad Hassan Emami, Mojtaba Ansari Shahidi
Publikováno v:
مجله علوم پزشکی صدرا, Vol 12, Iss 3, Pp 356-369 (2024)
Introduction: Psychosomatic diseases disrupt patients’ mental order, leading to chronic psychological injuries. Consequently, this study aimed to investigate the mediating role of health-promoting behaviors in the relationship between perceived str
Externí odkaz:
https://doaj.org/article/b26abd57fd8743ae8807832d659c2d04
Autor:
Shima Shirzad, Mona Riyahi Rad, Mohammad Rezaei, Mitra Tayaranian Marvian, Arman Abroumand Gholami, Fatemeh Forouzanfar, Mansoureh Sabzalizadeh, Hamed Ghazavi, Farzaneh Vafaee
Publikováno v:
Avicenna Journal of Phytomedicine, Vol 14, Iss 4, Pp 485-495 (2024)
Objective: Stroke is a highly prevalent and devastating conditionaffecting millions worldwide. The Devil's Claw (DCW) plant is anative African plant whose anti-inflammatory, antioxidant, andneuroprotective properties have been investigated. We postul
Externí odkaz:
https://doaj.org/article/0ce41a1f7e0c40e4b0bf9e937c251e01
Autor:
Saadat Izadi, Mohamad Forouzanfar
Publikováno v:
AI, Vol 5, Iss 2, Pp 803-841 (2024)
This study explores the progress of chatbot technology, focusing on the aspect of error correction to enhance these smart conversational tools. Chatbots, powered by artificial intelligence (AI), are increasingly prevalent across industries such as cu
Externí odkaz:
https://doaj.org/article/f5f7b34727f0417b8347af550660bf88
Idiopathic ventricular arrhythmia (IVAs) is extra abnormal heartbeats disturbing the regular heart rhythm that can become fatal if left untreated. Cardiac catheter ablation is the standard approach to treat IVAs, however, a crucial prerequisite for t
Externí odkaz:
http://arxiv.org/abs/2302.10824
Autor:
Delfan, Niloufar, Forouzanfar, Mohamad
Oscillometric monitors are the most common automated blood pressure (BP) measurement devices used in non-specialist settings. However, their accuracy and reliability vary under different settings and for different age groups and health conditions. A
Externí odkaz:
http://arxiv.org/abs/2301.10154
Autor:
Delfan, Niloufar, Moghaddam, Hamid Abrishami, Modaresi, Mohammadreza, Afshari, Kimia, Nezamabadi, Kasra, Pak, Neda, Ghaemi, Omid, Forouzanfar, Mohamad
Segmentation of lung tissue in computed tomography (CT) images is a precursor to most pulmonary image analysis applications. Semantic segmentation methods using deep learning have exhibited top-tier performance in recent years, however designing accu
Externí odkaz:
http://arxiv.org/abs/2212.13971