Discuss the following possible classification of outcomes in an AI experiment and provide 2 scenarios each in which they are applied to the results of hospital diagnostics based on AI based system. a. False Positive b. True positive. c. False negative. d. True negative.
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Discuss the following possible classification of outcomes in an
scenarios each in which they are applied to the results of hospital diagnostics based on AI
based system.
a. False Positive
b. True positive.
c. False negative.
d. True negative.
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- Discuss the following possible classification of outcomes in an Al experiment and provide 2 scenarios each in which they are applied to the results of hospital diagnostics based on Al based system. а. False PositiveDiscuss the following categories of potential Al experiment results and provide two illustrations of how each could be applied to the outcomes of hospital diagnoses based on Al. False Positive (k) True positive, I. False negative, m. True negativity.Discuss the following possible classification of results in an AI experiment and two instances where they are used to hospital diagnosis based on AI.
- Discuss the following categories of potential Al experiment findings and provide two examples of how each might be used to the outcomes of Al-based hospital diagnoses. False Positive (k) True positive, I. False negative, m. True negativity.Let's talk about the various AI methods and see how they stack up against one another. Please provide an in-depth explanation and relevant examples.300-500 words per discussion and avoid plagiarism.Discuss the following possible classification of outcomes in an AI experiment and provide 2scenarios each in which they are applied to the results of hospital diagnostics based on AIbased system.a. False Positiveb. True positive.c. False negative.d. True negative.
- So, what exactly do you think it is possible to do using AI in the long run? If you could provide a short description of the main categories and give two instances for each of those categories, that would be great.So, what exactly does "automated testing" entail? Is there a need for human testers if automated testing is used?Modeling is being used comprehensively by all national governments and the World Health Organization to decide the best strategies to minimize the risk of COVID-19. These were mainly epidemiological models designed to understand the spread of the disease and the impact of the various interventions. But a global pandemic tends to create a large number of problems and issues, not just those related to disease transmission, and each requires a different model to find the best solution. Based on case study given: Why is simulation used?
- You work for an insurance company. An analyst comes into your office in a panic. They have been asked to implement AI in a new proof of concept and need to use Bayes' Theorem to help predict the results of someone having a life-threatening disease. Help the analyst out. How would you explain Bayes' Theorem to them? How would you connect it to the way insurance companies assess risk, and to this problem in particular? Please and thank youQuestions: Q1. Build and discuss the obtained results and compare the theoretical results with the experimental results.Modeling is being used comprehensively by all national governments and the World Health Organization to decide the best strategies to minimize the risk of COVID-19. These were mainly epidemiological models designed to understand the spread of the disease and the impact of the various interventions. But a global pandemic tends to create a large number of problems and issues, not just those related to disease transmission, and each requires a different model to find the best solution. Based on case study given: Discuss how simulation modelling can help to support decision makers in making the most informed decisions?