Zobrazeno 1 - 9
of 9
pro vyhledávání: '"⦁ Hassan Shojaee-Mend"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Large language models (LLMs), like ChatGPT, Google’s Bard, and Anthropic’s Claude, showcase remarkable natural language processing capabilities. Evaluating their proficiency in specialized domains such as neurophysiology is crucial in un
Externí odkaz:
https://doaj.org/article/82ee6aeda0414ecda86fafecc3d6990b
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 1, Pp 73-82 (2024)
Objectives This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life. Methods This cross-sectional
Externí odkaz:
https://doaj.org/article/8f7872802f27469aa33337f0bda48dd1
Autor:
Hani Mosayebzadeh Roshan, Seyed-Hosein Abtahi-Eivary, Hassan Shojaee-Mend, Alireza Mohammadzadeh, Zahra Bahari Sani
Publikováno v:
Iranian Biomedical Journal, Vol 24, Iss 4, Pp 214-219 (2020)
Background: TGF-β has long been considered as the main inducer of Tregs in tumor microenvironment and is the reason for the aberrant number of Tregs in tumor-bearing individuals. Recently, it has been suggested that the enzyme arginase I is able to
Externí odkaz:
https://doaj.org/article/3db944a787ee4c65ad4175365e1d26ba
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100353- (2020)
Introduction: The use of traditional medicine has increased in many countries over the past decades. However, computer applications have been rarely developed and used in this field. This study aimed to develop a mobile-based disease ontology for tra
Externí odkaz:
https://doaj.org/article/423df335e47643c79725874e4ae6cbbc
BACKGROUND Introduction: Currently, diabetes is known as one of the major health problems and the most important issue in the medical profession which has a high prevalence in children and adults. On the other hand, machine learning has been introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dd5156b2e1e5cc58bba78977e6c2db
https://doi.org/10.2196/preprints.48290
https://doi.org/10.2196/preprints.48290
Autor:
Seyed-Hosein Abtahi-Eivary, Zahra Bahari Sani, Hani Mosayebzadeh Roshan, Hassan Shojaee-Mend, Alireza Mohammadzadeh
Publikováno v:
Iranian Biomedical Journal, Vol 24, Iss 4, Pp 214-219 (2020)
Iranian Biomedical Journal
Iranian Biomedical Journal
Background: TGF-β has long been considered as the main inducer of Tregs in tumor microenvironment and is the reason for the aberrant number of Tregs in tumor-bearing individuals. Recently, it has been suggested that the enzyme arginase I is able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d684cb7d6750ce388a6bc239ab62f08
http://ibj.pasteur.ac.ir/article-1-3041-en.html
http://ibj.pasteur.ac.ir/article-1-3041-en.html
Publikováno v:
Methods of information in medicine. 60(5-06)
Objective Developing an ontology can help collecting and sharing information in traditional medicine including Persian medicine in a well-defined format. The present study aimed to develop an ontology for gastric dystemperament in the Persian medicin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929c801fd9633022ea57133715f7cb00
https://pubmed.ncbi.nlm.nih.gov/34448178
https://pubmed.ncbi.nlm.nih.gov/34448178
Publikováno v:
Methods of information in medicine. 58(6)
Background Development of ontologies in traditional medicine can be a foundation for other applications of informatics in this field. Despite the importance of the development of ontologies in traditional medicine, there are few review studies in thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5130f1ea218c75dbe90c9930e24da78b
https://pubmed.ncbi.nlm.nih.gov/32349153
https://pubmed.ncbi.nlm.nih.gov/32349153
Autor:
Mostafa Amiri, Hassan Shojaee-Mend
Publikováno v:
Indian Journal of Science and Technology. 8
Machine translation is a process of automatic translation from one language to another. In the present study, architecture was proposed for the system of example-based machine translation from English to Farsi with the help of WordNet ontology. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190edaf3bcf603b915286e8906ff2059
https://doi.org/10.17485/ijst/2015/v8i11/71782
https://doi.org/10.17485/ijst/2015/v8i11/71782