Results 11 to 20 of about 4,098,399 (317)

Checking activities related to the control of prescriptions - legal approach [PDF]

open access: yesFarmacja Polska, 2022
The subject of this article is the analysis of legal conditions regarding prescriptions control, carried out by National Health Fund on the basis of the Act of May 12, 2011, on reimbursement of medicines, foodstuffs for particular nutritional uses and ...
Michał Jachowicz, Michał Kobylarz
doaj   +1 more source

Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission.

open access: yesPLoS Computational Biology, 2021
Fitting stochastic transmission models to electronic patient data can offer detailed insights into the transmission of healthcare-associated infections and improve infection control.
David W Eyre   +5 more
doaj   +1 more source

2021 MASH/MJM Interprofessional Health Research Symposium

open access: yesMcGill Journal of Medicine, 2021
N ...
McGill Journal of Medicine   +1 more
doaj   +1 more source

Probabilistic modelling of effects of antibiotics and calendar time on transmission of healthcare-associated infection

open access: yesScientific Reports, 2021
Healthcare-associated infection and antimicrobial resistance are major concerns. However, the extent to which antibiotic exposure affects transmission and detection of infections such as MRSA is unclear.
Mirjam Laager   +3 more
doaj   +1 more source

Examining the impact of ICU population interaction structure on modeled colonization dynamics of Staphylococcus aureus.

open access: yesPLoS Computational Biology, 2022
BackgroundComplex transmission models of healthcare-associated infections provide insight for hospital epidemiology and infection control efforts, but they are difficult to implement and come at high computational costs.
Matthew S Mietchen   +4 more
doaj   +1 more source

Reliable and Resilient AI and IoT-based Personalised Healthcare Services: A Survey [PDF]

open access: yesin IEEE Access, vol. 10, pp. 535-563, 2022, 2022
Recent technological and economic developments have transformed the healthcare sector towards more personalized and IoT-based healthcare services. These services are realized through control and monitoring applications that are typically developed using artificial intelligence/machine learning-based algorithms, which play a significant role in ...
arxiv   +1 more source

Artificial Intelligence (AI) in medicine as a strategic valuable tool

open access: yesThe Pan African Medical Journal, 2021
Humans’ creativity led to machines that outperform human capabilities in terms of workload, effectiveness, precision, endurance, strength, and repetitiveness. It has always been a vision and a way to transcend the existence and to give more sense to life,
Andreas Larentzakis, Nik Lygeros
doaj   +1 more source

Towards Smart Healthcare: Challenges and Opportunities in IoT and ML [PDF]

open access: yesJournal reference: IoT and ML for Information Management: A Smart Healthcare Perspective, Studies in Computational Intelligence, Vol. 1169, Springer, 2024, 2023
The COVID-19 pandemic and other ongoing health crises have underscored the need for prompt healthcare services worldwide. The traditional healthcare system, centered around hospitals and clinics, has proven inadequate in the face of such challenges. Intelligent wearable devices, a key part of modern healthcare, leverage Internet of Things technology to
arxiv   +1 more source

Simulation-free estimation of an individual-based SEIR model for evaluating nonpharmaceutical interventions with an application to COVID-19 in the District of Columbia.

open access: yesPLoS ONE, 2020
The ongoing COVID-19 pandemic has overwhelmingly demonstrated the need to accurately evaluate the effects of implementing new or altering existing nonpharmaceutical interventions.
Daniel K Sewell   +2 more
doaj   +1 more source

A Gentle Introduction to Reinforcement Learning and its Application in Different Fields

open access: yesIEEE Access, 2020
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has become one of the most important and useful technology. It is a learning method where a software agent interacts with an unknown environment, selects actions, and ...
Muddasar Naeem   +2 more
doaj   +1 more source

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