Answer:
Emergency situations that make it difficult to go to a clinic will likely require Telehealth. Examples include cases of
1. heart attack
2. breathing difficulties
3. health challenges that begin in the night
4. onset of child labor
5. a pandemic situation where hospitals are filled up
6. sickness among aged people in rural communities with no clinic, etc.
Explanation:
Summarily, the World Health Organization (WHO) defines Telehealth as the 'incorporation of Information Communication Technology in the delivery of health care services in situations where patients and health care providers are separated by distance'. Emergency health situations that make it difficult to quickly access medical help can benefit from Telehealth.
In the cases of a pandemic such as the one experienced in 2020, where hospitals were filled to the brim, telehealth proved to be a useful form of health care delivery.
"Dear Dr. Cross:" is the most appropriate.
None of the others will help you make a sale.
'B' and 'D' may lose it for you right there.
Especially 'D'.
Answer:
The correct answer to the following question will be "Encoding".
Explanation:
Encoding is the method of bringing into a standardized format a series of characters (words, figures, punctuation, and certain signs or symbols) for effective communication or storage.
The four main encoding styles are as follows:
- Visual
- Acoustic
- Elaborative
- Semantic.
Encoding aims is to translate data so that a particular system can properly interpret it, e.g. binary data to be sent via email, or displaying special characters on a website page. The aim is not to keep the information hidden but also to ensure it could be accessed properly.
Therefore, Encoding is the right answer.
Answer:
The answer is B. I'm pretty sure It is
Explanation:
I just took the quiz and it was right
Answer: Rate
Explanation:
- Rate is the one that is used to describe the number of legitimate users who are denied access because there is a failure happening in the biometric device and that type of failure is also known as Type I Error.
When it comes to hypothesis testing we can say that this kind of error is considering the rejection of the null hypothesis. On the other side, there is also Type II Error who is not rejecting the false null hypothesis and it is the opposite of a Type I Error.
