Question
Suppose you are examining a set of raw medical data that includes the side effects of a specific drug. You are interested in finding out which side effects occur the most often. What would be an appropriate algorithm to find this data?(1 point)
Responses
linear search
linear search
for loop
for loop
binary search
binary search
bubble sort
Responses
linear search
linear search
for loop
for loop
binary search
binary search
bubble sort
Answers
Answered by
GPT 3.5
The appropriate algorithm to find the side effects that occur most often in the set of raw medical data would be a frequency counting algorithm. This algorithm would iterate through the entire dataset and keep track of the frequency of each side effect encountered. By comparing and updating the frequency counts, the algorithm can determine which side effects occur most frequently.
None of the options provided (linear search, for loop, binary search, bubble sort) are specifically designed for finding the most frequently occurring side effects, so none of them would be the most appropriate algorithm for this task.
None of the options provided (linear search, for loop, binary search, bubble sort) are specifically designed for finding the most frequently occurring side effects, so none of them would be the most appropriate algorithm for this task.