Zobrazeno 1 - 5
of 5
pro vyhledávání: '"K. V. Arulalan"'
Publikováno v:
IEEE Access, Vol 12, Pp 68184-68207 (2024)
Maternal mortality is a major public health concern worldwide. It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine learning may be used to minimize maternal mortality. His
Externí odkaz:
https://doaj.org/article/3fadc546163549b485be14ddd33d58c4
Publikováno v:
IEEE Access, Vol 12, Pp 136435-136435 (2024)
Presents corrections to the paper, Corrections to “Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey”.
Externí odkaz:
https://doaj.org/article/a40b8f331e0247ce8c9ab8a43e6cf2df
Publikováno v:
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0fa633388591ac99b618b5e57cf0a26
https://doi.org/10.1145/3536220.3563371
https://doi.org/10.1145/3536220.3563371
Autor:
Thangavelu Sangaralingam, Vandana Kuniyedath Chalil, S A Mohamed Abdul Nassir, Nedunchelian Krishnamoorthy, Hemchand Krishna Prasad, K V Arulalan
Publikováno v:
Indian journal of pediatrics. 88(7)
To ascertain the utility of the new pan Indian 2015 IAP references in rural South Indian children and the ability of new IAP charts to recognise children with abnormal cardiometabolic risk factors in 10 to 16 y age group. Among school health camps co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd6d5a136915b93f3fe8e92bc3b4a236
https://pubmed.ncbi.nlm.nih.gov/34036547
https://pubmed.ncbi.nlm.nih.gov/34036547
Publikováno v:
Bangalore Compute Conf.
Attention Deficit Hyperactivity Disorder (ADHD) is a Disruptive Behaviour Disorder characterized by the presence of a set of chronic and impairing behaviour patterns that display abnormal levels of inattention, hyperactivity, or their combination. Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b4765a45e03599277e8cd85d459e7af
https://doi.org/10.1145/1754288.1754317
https://doi.org/10.1145/1754288.1754317