Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Gayathri Nagarajan"'
Autor:
Sridhar Vaitheswaran, Suhavana Balasubramanian, Nirupama Natarajan, Shreenila Venkatesan, Nivedhitha Srinivasan, Gayathri Nagarajan, Vaishnavi Ramanujam, Subashini Sargunan
Publikováno v:
Indian Journal of Psychological Medicine, Vol 43 (2021)
Externí odkaz:
https://doaj.org/article/1e1c9bac69cf4926a3e877580dbaeea6
Autor:
Jahanara Miah, Saima Sheikh, Rachel C. Francis, Gayathri Nagarajan, Sojan Antony, Maryam Tahir, Rabia Sattar, Anum Naz, Sehrish Tofique, Mostazir Billah, Sajib Saha, Iracema Leroi
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: Patient and public involvement (PPI) is an active partnership between the public and researchers in the research process. In dementia research, PPI ensures that the perspectives of the person with “lived experience” of dementia are co
Externí odkaz:
https://doaj.org/article/485dc23e8aad4de9b678d8c27d4d8dd8
Autor:
Sridhar, Vaitheswaran, Nirupama, Natarajan, Vaishnavi, Ramanujam, Subashini, S, Shreenila, Venkatesan, Nivedhitha, Srinivasan, Gayathri, Nagarajan, Suhavana, Balasubramanian
Publikováno v:
Alzheimer's & Dementia. 18
The COVID-19 pandemic and associated restrictions have greatly affected the delivery of treatment and access to in-person interventions for dementia, especially in low- and middle-income countries such as India. Technology use could potentially help
Autor:
Sridhar Vaitheswaran, Gayathri Nagarajan, Kunnukatil S Shaji, Monisha Lakshminarayanan, Mina Chandra, Murali Krishna, Ahalya Ganesh, Aimee Spector, Nivedhitha Srinivasan
Publikováno v:
Aging Ment Health
OBJECTIVE: Currently no standardized tools are available in the Indian languages to assess changes in cognition. Our objectives are to culturally adapt the Alzheimer’s disease Assessment Scale – Cognitive Subscale (ADAS-Cog) for use in India and
Autor:
Nirupama Natarajan, Suhavana Balasubramanian, Subashini Sargunan, Sridhar Vaitheswaran, Shreenila Venkatesan, Gayathri Nagarajan, Vaishnavi Ramanujam, Nivedhitha Srinivasan
Publikováno v:
Indian Journal of Psychological Medicine
Indian Journal of Psychological Medicine, Vol 43 (2021)
Indian Journal of Psychological Medicine, Vol 43 (2021)
Autor:
L. D. Dhinesh Babu, Gayathri Nagarajan
Publikováno v:
Network Modeling and Analysis in Health Informatics and Bioinformatics
Feature selection has gained its importance due to the voluminous nature of the data. Owing to the computational complexity of wrapper approaches, the poor performance of filtering techniques, and the classifier dependency of embedded approaches, hyb
Autor:
Mostazir Billah, Jahanara Miah, Gayathri Nagarajan, Rabia Sattar, Anum Naz, Sojan Antony, Sehrish Tofique, Iracema Leroi, Sajib Saha, Saima Sheikh, Rachel C Francis, Maryam Tahir
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Frontiers in Neurology
Frontiers in Neurology
Background: Patient and public involvement (PPI) is an active partnership between the public and researchers in the research process. In dementia research, PPI ensures that the perspectives of the person with “lived experience” of dementia are co
Autor:
L. D. Dhinesh Babu, Gayathri Nagarajan
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811601705
Health care generates voluminous data and establishing predictive models on such voluminous data is not only challenging in terms of accuracy but also in terms of computational complexity. Feature engineering is a hot research topic that has gained s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7841aa7bf6cd1add6d7f239625267d3
https://doi.org/10.1007/978-981-16-0171-2_42
https://doi.org/10.1007/978-981-16-0171-2_42
Autor:
Gayathri Nagarajan, L.D. Dhinesh Babu
Publikováno v:
Artificial intelligence in medicine. 123
Big data era in healthcare led to the generation of high dimensional datasets like genomic datasets, electronic health records etc. One among the critical issues to be addressed in such datasets is handling incomplete data that may yield misleading r
Autor:
L. D. Dhinesh Babu, Gayathri Nagarajan
Publikováno v:
Smart Intelligent Computing and Applications ISBN: 9789811319266
Health care is one of the prominent industries that generate voluminous data, thereby finding the need for machine learning techniques with big data solutions. The goal of this paper is to (i) compare the performance of the six different machine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3589c070393150d83582f242be655ae
https://doi.org/10.1007/978-981-13-1927-3_32
https://doi.org/10.1007/978-981-13-1927-3_32