Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Annamalai Natarajan"'
Autor:
Ashish K. Khanna, Takahiro Kinoshita, Annamalai Natarajan, Emma Schwager, Dustin D. Linn, Junzi Dong, Erina Ghosh, Francesco Vicario, Kamal Maheshwari
Publikováno v:
Annals of Intensive Care, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Background Intensivists target different blood pressure component values to manage intensive care unit (ICU) patients with sepsis. We aimed to evaluate the relationship between individual blood pressure components and organ dysfunction in cr
Externí odkaz:
https://doaj.org/article/a838f2bf71b04b78836e070377e71df2
Autor:
Asif Rahman, Yale Chang, Junzi Dong, Bryan Conroy, Annamalai Natarajan, Takahiro Kinoshita, Francesco Vicario, Joseph Frassica, Minnan Xu-Wilson
Publikováno v:
Critical Care, Vol 25, Iss 1, Pp 1-9 (2021)
Abstract Background Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We develop the Hemodynamic Stability Index (HSI), which highlights situational awareness of po
Externí odkaz:
https://doaj.org/article/f6daea3bc6d949eda64325550cba9c99
Autor:
Annamalai Natarajan, Emil Laftchiev
Publikováno v:
International Journal of Prognostics and Health Management, Vol 10, Iss 3 (2019)
Personal thermal comfort is the feeling that individuals have about how hot, cold or comfortable they are. Studies have hown that thermal comfort is a key component of human performance in the work place and that personalized thermal comfort models c
Externí odkaz:
https://doaj.org/article/bdb36c575ea6418dbf6249827294ad23
Autor:
Dayanithi, Janet, Murugesan, Magesh, Annamalai, Natarajan, Balu, Ranjith, Shanmugam, Kotteswaran
Publikováno v:
ChemistrySelect; 11/8/2024, Vol. 9 Issue 42, p1-9, 9p
Publikováno v:
Mathematical Modelling of Engineering Problems. 10:195-203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f8e4e3163ce754e4f17fb0ec92438e1
https://doi.org/10.18280/mmep.100122
https://doi.org/10.18280/mmep.100122
Autor:
Annamalai Natarajan, Radhakrishnan Prabakarakrishnan, Kasivelu Govindaraju, Vimal Sugumar, Kuppusamy Sathiskumar, Jayaraman Narenkumar, Aadhikesavan Ramanan, Balasubramanian Senthil Kumar
Publikováno v:
Aquaculture International.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769b81737bd0737b0c4d316dc12394ee
https://doi.org/10.1007/s10499-023-01064-0
https://doi.org/10.1007/s10499-023-01064-0
Autor:
Annamalai, Natarajan, Grace, Lam, Jingyi, Liu, Andrew L, Beam, Kristyn S, Beam, Jonathan C, Levin
Publikováno v:
Journal of perinatology : official journal of the California Perinatal Association.
To develop machine learning models predicting extubation failure in low birthweight neonates using large amounts of clinical data.Retrospective cohort study using MIMIC-III, a large single-center, open-source clinical dataset. Logistic regression and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0b8b5cbb55850652df10b35b3a882b5a
https://pubmed.ncbi.nlm.nih.gov/36611107
https://pubmed.ncbi.nlm.nih.gov/36611107
Publikováno v:
Mathematical Modelling of Engineering Problems; Feb2023, Vol. 10 Issue 1, p195-203, 9p
Autor:
Bhanu Teja Gullapalli, Tauhidur Rahman, Annamalai Natarajan, Gustavo A. Angarita, Deepak Ganesan, Robert T. Malison
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3:1-31
Drug addiction is a chronic brain-based disorder that affects a person's behavior and leads to an inability to control drug usage. Ubiquitous physiological sensing technologies to detect illicit drug use have been well studied and understood for diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a07e8638f441c30741885c3c5b554f7c
https://doi.org/10.1145/3328917
https://doi.org/10.1145/3328917
We present our entry to the 2021 PhysioNet/CinC challenge - a waveform transformer model to detect cardiac abnormalities from ECG recordings. We compare the performance of the waveform transformer model on different ECG-lead subsets using approximate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfad98a92c0fc602f1ab36492b78d8e
