Our lecture discussed the ICD-10-CM manual (indexes, tabular list, appendix) and

Our lecture discussed the ICD-10-CM manual (indexes, tabular list, appendix) and the correct steps to find and assign an ICD-10-CM code. It also touched upon certain areas of a patient’s record that coders should not use when assigning a code. In at least 150 of your own words, reflect on the following:
Based on coding guidelines, coders may only code from a physician or other qualified healthcare provider’s notes. Discuss why you think this is a requirement and whether you agree. Explain your reasoning for why or why not.
In relation to the prompt above, consider the following scenario and explain the correct course of action. While reviewing a patient record, you notice documentation in the nursing notes that may conflict with the physician’s diagnosis. As a coder, what is your responsibility in this case, and how do you proceed?

The purpose of this final is to apply your knowledge in comparing and contrastin

The purpose of this final is to apply your knowledge in comparing and contrasting a supervised and an unsupervised algorithm as well as a comparing and contrasting a NoSQL and SQL solution and presenting it in a 3 page minimum written report.
Total of 3 pages (minimum) with the following sections:
· 2 pages (minimum):
· Select a supervised and an unsupervised algorithm to compare and contrast
· Metrics such as what parameters are used in the algorithms, performance of algorithms, explainability/complexity, etc.
· Recommended use cases for each algorithm (How can this be applied in the real world?)
· Code sample (optional)
· Select a data storage solution (NoSQL and SQL) to compare and contrast
· Metrics such as languages, capacity, scalability, etc.
· Recommended use cases for each algorithm (How can this be applied in the real world?)
· Code sample (optional)
· 1 page (minimum):
· Create or source a solution/conclusion in Visual format (i.e. charts, graphics, other visuals etc.)
· Submit data used (or link to data used if ‘too large’, i.e. 15 mb or more), and code/if any
Note: Code is optional (and tables count as visual as well)
(Attached are the complete assignment requirements with grading criteria)

This week’s assignment involves writing a Python program to compute the weekly

This week’s assignment involves writing a Python program to compute the
weekly pay for a paper carrier. Your program should prompt the user for
the following numeric values:
the number of papers on the route
the number of days the paper is delivered per week
the amount of tips received for the week
Your program should define (not prompt) for the following:
the cost of each newspaper,
a percentage rate for his/her commission. (the paper carrier gets a percentage of the cost of each newspaper)
The total number of papers for week is number of papers times number of
days. The weekly salary is total number of papers for week times cost of
each newspaper times his percentage rate. The total pay should be
computed as his weekly salary plus his tips.
Your program should display output at the end of the program for the following:
the total number of papers delivered for the week,
the weekly salary,
the tips for the week,
the total pay for the week.
Your program should include Header comments (what the program does) and
in-line comments (the major design steps). Document the values you
chose for the cost per paper and percentage rate in your comments as
well.
Submit your Python program as a text file (.py) file. In addition,
submit a Design outline and a Test plan (3 different test cases) in a
Word document or a .pdf file which also includes a screen shot of
execution of your program for each test case.
Your submission must also adhere to the SubmissionRequirements document.
(i.e. Filename and display your name, class, date in the output).
GRADING:
10% – Design – outline proper sequence of steps, calculations (if
necessary). Identify values
of any known constants (hourly rate,
commission rate). Identify what the user inputs will be
and what the
output will be.
10% – Documentation – Header and in-line comments. Include document for
the values you
chose as the known constants (hourly rate, commission
rate) in your comments as well.
Documentation of major steps (from
design outline);
70% – Program prompts and executes correctly on all test cases.
Satisfies all requirements
(each requirement -10pts), compiles -20pts,
effectiveness and neatness -10pts, descriptive
variables – 5pts, def
main() -5pts).

Data Analysis Method Quantitative Assessment PLEASE READ THE FOLLOWING: No max w

Data Analysis Method
Quantitative Assessment
PLEASE READ THE FOLLOWING:
No max wordcount – but answers should be in the style of a report/journal article and therefore you should be as succinct as possible.
Answer all 4 questions.
Justify your decisions throughout using relevant references.
Provide SPSS output in the appendices (except graphs which can be placed in the body of your report) so that benefit can be given if you have the correct methods.
Please do not share/discuss your work with any other student – this could be classed as collusion and result in an academic misconduct hearing. Turnitin will be used to assess similarity.
Upload your report (saved as one Word document) and the dataset you used to BB via the Turnitin Link.
Note that tutors cannot answer questions about this analysis as it is classed as an exam.
1.Scenario
You are a sports and exercise researcher. You are interested in better understanding the effects of High Intensity Interval Training (HIIT; a form of cardiovascular exercise, aimed to improve athletic capacity, condition and fat burning). Some of the literature states that HIIT is not an effective means of exercise, while others comment that it is highly effective; however, these effects seem to be dependent on gender.
Aims: You have recruited a number of participants and prescribed an 8-week HIIT programme. Having completed the 8-week programme you want to see if there is an effect in terms of
· Rating of Perceived Exertion (RPE; a self-assessment scale to rate breathlessness and
fatigue during exercise, scored along a 100mm line) and
· 100m sprint time
– based on the two independent groups of male and female participants.
Scoring of each measure: –
RPE: 0 indicates no effort; 100 indicates maximum effort (measured in mm)-
100m sprint time: faster sprint time indicates higher athletic ability (measured in seconds)
Based on the specified scenario, provide the:
1.Descriptive statistics for all of the participant demographics and outcome variables
2.Select and run the appropriate statistical test(s)
· State and justify the statistical test you have chosen
· Test the appropriate assumptions
· Run the test
3.Report the findings in full as would be expected for publication, interpret meaning and provide a simple-layperson interpretation.
Justify your decisions throughout and provide SPSS output in the appendices (except graphs which can be placed in the body of your report).
2.Scenario
Following from your previous question you also believe there may be an age effect on the sprint time.
Aims: You have recruited a number of participants and prescribed an 8-week HIIT programme. Having completed the 8-week programme you want to see if there is an effect in terms of
· 100m sprint time
– based on the age group of the participant. – You must recode the age variable into age groups (20-29, 30-39, 40-49, 50+)
Scoring of each measure: –
100m sprint time: faster sprint time indicates higher athletic ability (measured in seconds)
Based on the specified scenario, provide the:
1.Descriptive statistics for all of the participant demographics and outcome variables
2.Select and run the appropriate statistical test(s)
· State and justify the statistical test you have chosen
· Test the appropriate assumptions
· Run the test
3.Report the findings in full as would be expected for publication, interpret meaning and provide a simple-layperson interpretation.
Justify your decisions throughout and provide SPSS output in the appendices (except graphs which can be placed in the body of your report).
3 Scenario
You also collected data on whether the participants plan to continue with another block of HIIT training and are interested in whether males or females are more likely to continue.
You have recorded:
· Whether they plan to continue or not (yes or no)
Aims: You are interested in establishing if there is a relationship between the likelihood to continue training and gender
Based on the specified scenario, provide the:
1.Descriptive statistics for all of the participant demographics and outcome variables
2.Choose and run the appropriate statistical test(s)
· State and justify the statistical test you have chosen
· Test the appropriate assumptions
· Run the test
3.Report the findings in full, as would be expected for publication, and interpret meaning and provide a layperson interpretation
4.Scenario
You have read that caffeine can influence the duration of HIIT; however, there is some discrepancy in the literature regarding the quantity of caffeine. You want to better understand if there is a relationship between caffeine and HIIT. You want to see if there is a way to predict the effects of caffeine and exercise duration (it might be that the athletes you work with would benefit from a dose of caffeine before competing).
You have recorded:
· preferred caffeine intake (mg/kg)
· how long they are able to continue exercising (mins).
Using this information, you feel you might be able to make predictions using the amount of caffeine a person consumes to estimate how long they would be able to exercise.
Aim:
1.Based on the above information, assess the appropriateness of using ‘caffeine dose’ in the prediction of ‘exercise duration’.
2.Using this prediction model, report the likely exercise duration for a person who consumes a caffeine dose of 5mg/kg.
Scoring of each measure:
Self-selected caffeine dose: the preferred quantity of caffeine consumed before exercise (measured in mg/kg)-
Duration of exercise: duration the participant is able to continue with the exercise session; longer durations indicate higher exercise tolerance (measured in minutes).
Based on the specified scenario, provide the:
1.Descriptive statistics for all of the participant demographics and outcome variables
2.Produce appropriate graphical representation
· Graphs/plots
3.Choose and run the appropriate statistical test(s)
· State and justify the statistical test you have chosen
· Test the appropriate assumptions [if the assumptions are violated you can note this but continue with the analysis as though you had not violated the assumptions]
· Run the test
4.Report the findings in full, as would be expected for publication, and interpret meaning and provide a layperson interpretation
5. Using this model, report the likely exercise duration for a person who consumes a caffeine dose of 5mg/kg

Hello there, Please follow the attached guideline document (Paper_guideline.docx

Hello there,
Please follow the attached guideline document (Paper_guideline.docx) to write below sections:
1. Research Design & Methodology
2. Results
3. Disucussion of Result
Please use python programming laganuge and related Machine learning methods to do analyse Stock Market data. The data should be minimum of last 5-8 years. You can choose top 5-10 companies or stock symbols to do these analysis.
It would be great if you can use and show case at least 2-3 methods from following machine learning methods: Linear/Logistic regression, Decision Tree, Lasso regression, Sentimental analysis, deep learning.
Feel free to reach out if you have any questions.
Thank you