Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Zahra NIAZKHANI,"'
Publikováno v:
Türk Patoloji Dergisi, Vol 39, Iss 3, Pp 185-191 (2023)
Objective: Information contained in request forms for histopathological examinations plays a critical role in the microscopic interpretation of tissue changes. Despite its importance, studies have shown inadequacies in the information communicated by
Externí odkaz:
https://doaj.org/article/094e95737d2546d3a57b02e756f36439
Autor:
Majid Babaei, Shila Hasanzadeh, Habibollah Pirnejad, Rana Hoseini, Zahra Niazkhani, Iraj Mohebbi
Publikováno v:
تحقیقات سلامت در جامعه, Vol 8, Iss 2, Pp 1-11 (2022)
Introduction and purpose: The severity of accidents and mortality rate varies between countries with different socio-economic statuses. This study aimed to model the socio-economic factors affecting the severity of injuries in traffic accidents of dr
Externí odkaz:
https://doaj.org/article/ab602aa9c9c7488ba53d80d17bcea6f1
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background To improve chronic disease outcomes, self-management is an effective strategy. An electronic personal health record (ePHR) is a promising tool with the potential to support chronic patient’s education, counseling, and self-manag
Externí odkaz:
https://doaj.org/article/08c167b34be04ef1854d06c6bdb2aec4
Publikováno v:
BMC Medical Education, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background To improve the quality of education, many academic medical institutions are investing in the application of blended education to support new teaching and learning methods. To take necessary measures to implement the blended learni
Externí odkaz:
https://doaj.org/article/13121291ecd744aea8effe4d87dfa199
Autor:
Zahra Niazkhani, Mahsa Fereidoni, Parviz Rashidi Khazaee, Afshin Shiva, Khadijeh Makhdoomi, Andrew Georgiou, Habibollah Pirnejad
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Drug-laboratory (lab) interactions (DLIs) are a common source of preventable medication errors. Clinical decision support systems (CDSSs) are promising tools to decrease such errors by improving prescription quality in terms of la
Externí odkaz:
https://doaj.org/article/64d62134bd374e27b4a008c1257ccce5
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-36 (2020)
Abstract Background Electronic personal health records (ePHRs) are defined as electronic applications through which individuals can access, manage, and share health information in a private, secure, and confidential environment. Existing evidence sho
Externí odkaz:
https://doaj.org/article/cf1cd38150dd461c97d748a2a913b55f
Autor:
Parasto Amiri, Zahra Niazkhani, Habibollah Pirnejad, Mahdie ShojaeiBaghini, Kambiz Bahaadinbeigy
Publikováno v:
Archives of Iranian Medicine, 25(8), 564-573. Academy of Medical Sciences of I.R. Iran
Background: Alzheimer & rsquo;s disease is an extremely expensive chronic disease, which is rapidly becoming a major cause of mortality in adults. For over two decades, telemedicine has been used to assist patients and their caregivers to manage this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f63c93bec34502e0d7585a5e95ba67e
http://www.scopus.com/inward/record.url?scp=85143156176&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85143156176&partnerID=8YFLogxK
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
BMC Medical Informatics and Decision Making, 21(1):329. BioMed Central Ltd.
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, 21(1):329. BioMed Central Ltd.
BMC Medical Informatics and Decision Making
Background To improve chronic disease outcomes, self-management is an effective strategy. An electronic personal health record (ePHR) is a promising tool with the potential to support chronic patient’s education, counseling, and self-management. Fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd14e96645af21518830307bfc7d33f
https://doaj.org/article/08c167b34be04ef1854d06c6bdb2aec4
https://doaj.org/article/08c167b34be04ef1854d06c6bdb2aec4
Publikováno v:
Turk Patoloji Dergisi. Federation of Turkish Pathology Societies
OBJECTIVE: Information contained in request forms for histopathological examinations plays a critical role in the microscopic interpretation of tissue changes. Despite its importance, studies have shown inadequacies in the information communicated by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c877960dbb42e90e884cdd2186f2f4
https://pure.eur.nl/en/publications/ecf5ca50-8e4c-4541-bdf8-5ecf7533f408
https://pure.eur.nl/en/publications/ecf5ca50-8e4c-4541-bdf8-5ecf7533f408
Publikováno v:
Applied Soft Computing, 128:109460. Elsevier
The existing multivariate time series prediction schemes are inefficient in extracting intermediate features. This paper proposes an artificial neural network called Feature Path Efficient Multivariate Time Series Prediction (FPEMTSP) to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f303acd8b59590db434fb89d7216fe3
https://doi.org/10.1016/j.asoc.2022.109460
https://doi.org/10.1016/j.asoc.2022.109460