Zobrazeno 1 - 10
of 836
pro vyhledávání: '"Sonica"'
Autor:
Neil Cockburn, Ben Hammond, Illin Gani, Samuel Cusworth, Aditya Acharya, Krishna Gokhale, Rasiah Thayakaran, Francesca Crowe, Sonica Minhas, William Parry Smith, Beck Taylor, Krishnarajah Nirantharakumar, Joht Singh Chandan
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Motivation Data is increasingly used for improvement and research in public health, especially administrative data such as that collected in electronic health records. Patients enter and exit these typically open-cohort datasets non-uniforml
Externí odkaz:
https://doaj.org/article/59beb70c4bb24f0b819af090b8226432
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background For accessing dental care in Canada, approximately 62% of the population has employment-based insurance, 6% have some publicly funded coverage, and 32% have to pay out-of pocket. Those with no insurance or public coverage find den
Externí odkaz:
https://doaj.org/article/4e89bd7f66a04dc6a48f7b513bdc3196
Autor:
Mona Abdelrehim, Sonica Singhal
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background In Canada, as in many other countries, private dental insurance addresses financial barriers to a great extent thereby facilitating access to dental care. That said, insurance does not guarantee affordability, as there are issues
Externí odkaz:
https://doaj.org/article/8765f4f8411d4f3f8b27f13048548588
Exploring the mental well-being of higher educational institutions students: a bibliometric analysis
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
AbstractMental health and well-being are vital for the success of students, especially in higher education contexts. The last decade has witnessed a growing concern related to the mental health and well-being of higher education institutions (HEIs) s
Externí odkaz:
https://doaj.org/article/bde0eed0855c433f90c4b03619427a3a
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
AbstractStudies on consumer socialization delve into how customers acquire an interest in a product or service. These studies attempt to comprehend customer attitudes, perceptions, and behaviors towards a product or service as a result of diverse soc
Externí odkaz:
https://doaj.org/article/67f4705d098b4654b4bdbec0a2f5a6c6
Autor:
Neha Sharma, Vinay Kumar, Vimal Sugumar, Mridul Umesh, Sonica Sondhi, Pritha Chakraborty, Komalpreet Kaur, Jithin Thomas, Chinnaperumal Kamaraj, Subhrangsu Sundar Maitra
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 9, Iss , Pp 100623- (2024)
Alarming concern over the persistence and toxicity of per- and polyfluoroalkyl substances (PFAS) in the environment has created an imperative need for designing and redesigning strategies for their detection and remediation. Conventional PFAS removal
Externí odkaz:
https://doaj.org/article/51e60432a04a4b6fbcc31a5aca1d9ebe
Publikováno v:
BMC Research Notes, Vol 16, Iss 1, Pp 1-8 (2023)
Abstract Background and rationale As general health care is publicly funded in Canada and oral health care is not, many people seek care from hospitals for their dental problems. This study assessed if the unprecedented times of Coronavirus disease (
Externí odkaz:
https://doaj.org/article/c73df63f86514cbab1f3b5efd1c68f3e
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-4 (2023)
Externí odkaz:
https://doaj.org/article/e74cdb6cc2c442328af4201a2e754b85
Autor:
Rebecca Russell, Sonica Minhas, Joht Singh Chandan, Anuradhaa Subramanian, Noel McCarthy, Krishnarajah Nirantharakumar
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Anxiety is a prevalent condition with a substantial associated burden of morbidity. Previous literature investigating effects of anxiety on mortality rates has found conflicting results. This is in part due to inadequate considera
Externí odkaz:
https://doaj.org/article/36f14182413740d6919c1ce381acfb44
Autor:
Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307531 (2024)
BackgroundThis systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinic
Externí odkaz:
https://doaj.org/article/1c80dd005e984978979891e84bea1e98