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Autor:
Prashant Chandra, Vandana KE, Chiranjay Mukhopadhyay, Dinesh Acharya U, Surulivelrajan M, Rajesh V
The length of stay (LOS) and healthcare expenses for patients are drastically impacted by antimicrobial resistance (AMR). In addition to building a prediction model for AMR infection outcomes, the study will examine how AMR influences the attributabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b825fd2bffc6b11f6dd9dfc03c1ddf2
https://doi.org/10.21203/rs.3.rs-2263975/v1
https://doi.org/10.21203/rs.3.rs-2263975/v1
Autor:
Shirwaikar, Rudresh Deepak, Dinesh Acharya, U, Lamgaonkar, Yogini Eknath, Lal, Shivkumar Mahadev
Publikováno v:
Journal of Physics: Conference Series; 8/14/2023, Vol. 2571 Issue 1, p1-18, 18p
Publikováno v:
Journal of Physics: Conference Series; 8/14/2023, Vol. 2571 Issue 1, p1-11, 11p
Autor:
Unnikrishnan Mk, Rajesh, Prashant Chandra, Chiranjay Mukhopadhyay, Dinesh Acharya U, Vandana Ke, Surulivel Rajan M
Publikováno v:
Expert Opinion on Drug Safety. 20:1375-1390
Introduction: Antimicrobial resistance (AMR) is a multi-layered problem with a calamitous impact on humans, livestock, the environment, and the biosphere. Initiatives and action plan to preclude AM...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::793bb9fd4c3a4d7149ea80ef802cc372
https://doi.org/10.1080/14740338.2021.1928633
https://doi.org/10.1080/14740338.2021.1928633
Publikováno v:
Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 18, p27571-27591, 21p
Publikováno v:
2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9b398fc60cd18ab87d852f63bd6df5f
https://doi.org/10.1109/spices52834.2022.9774247
https://doi.org/10.1109/spices52834.2022.9774247
Autor:
Krishnamoorthi Makkithaya, Leslie Edward S Lewis U, Mallayasamy Surulivelrajan, Dinesh Acharya U, Rudresh D Shirwaikar, Shikhar Srivastava
Publikováno v:
Artificial Intelligence in Medicine. 98:59-76
Objective The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [ 1 ], with over 3.5 million babies bor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327f40cf46fd0f02f3f3b27606f72fd2
https://doi.org/10.1016/j.artmed.2019.07.008
https://doi.org/10.1016/j.artmed.2019.07.008
Publikováno v:
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).
The process of classifying newly born babies into high-risk and low-risk is called risk stratification. Having a platform to stratify neonates according to severity of risk is the key to the success of any Neonatal Intensive Care Unit (NICU). The pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e62e2c590a4b8f56c5eb51f46e739468
https://doi.org/10.1109/discover50404.2020.9278097
https://doi.org/10.1109/discover50404.2020.9278097
Autor:
Rudresh Deepak Shirwaikar, Dinesh Acharya U, Krishnamoorthi Makkithaya, Surulivelrajan Mallayaswamy, Leslie Edward Simon Lewis
Publikováno v:
Critical Reviews in Biomedical Engineering. 46:93-115
The decision-making process for estimating the optimal dosage is critical in clinical settings. In the neonatal intensive care unit (NICU), preterm neonates suffering from apnea of prematurity, optimum drug dosage can make a difference between life a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::566ec3431f1a3a5d0bbc12b7212ebf8a
https://doi.org/10.1615/critrevbiomedeng.2018025933
https://doi.org/10.1615/critrevbiomedeng.2018025933