How can nurses contribute to machine learning through the assistance of obtaining knowledge and skills to better support patients?
By evaluating technology and filling data gaps
By simply accessing and using information
By studying statistics to understand the algorithms
By gathering patient data
The Correct Answer is A
A. By evaluating technology and filling data gaps. – Nurses can contribute by identifying gaps in data that machine learning models need to improve accuracy, and by assessing technology to ensure it meets clinical needs and complements patient care.
B. By simply accessing and using information. – Access alone does not contribute significantly to machine learning; active data input and gap identification are more effective.
C. By studying statistics to understand the algorithms. – Studying algorithms helps understand machine learning but does not directly contribute to its function or data generation.
D. By gathering patient data. – While gathering data is helpful, without evaluating technology and addressing data gaps, it doesn’t fully contribute to machine learning model improvement.
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Correct Answer is B
Explanation
A. Online journals require extra storage space – This is generally not true, as online journals are stored digitally and accessed via the internet.
B. Online journals generally require a subscription to access content – Many reputable online medical journals require a subscription or payment to access full articles, which can limit availability.
C. Online journals offer limited access to graphic images and diagrams – This is generally incorrect, as many online journals include graphics and diagrams in articles.
D. Online journals are not up-to-date due to publishing delays – Most reputable online journals strive to publish current studies, though there may be some delay in publication, this is not a primary downside compared to subscription requirements.
Correct Answer is D
Explanation
A. Usability testing – Usability testing evaluates user-friendliness and ease of use but does not assess security elements like password challenges and data confidentiality.
B. Load testing – Load testing evaluates system performance under various levels of usage to ensure it can handle high traffic, but it does not focus on security aspects.
C. System testing – System testing assesses the overall functionality of the system but doesn’t specifically address security features like password management and data confidentiality.
D. Security testing – Security testing is the best choice here as it assesses the protection mechanisms of the system, including password security, data confidentiality, and breach response plans.