BSS020C126S – INTRODUCTION TO HUMAN DISEASE COURSEWORK GUIDELINES Summarise the trends in incidence and/or mortality over the past 10 years for ONE specific infective or non-infective disease (i.e. tuberculosis, melanoma, Alzheimer’s, diabetes, etc.). Discuss the factors responsible for any trends…
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This service improvement report addresses the health inequalities experienced by individuals: Safe and Effective Quality care in Adult Nursing Assignment, KU, UK
This service improvement report addresses the health inequalities experienced by individuals with a learning disability and more specifically avoidable deaths in a National Health Service (NHS) hospital. The report focuses mainly on the completion of ‘Do Not Attempt Cardiopulmonary Resuscitation’…
Apply the best algorithm in Python’s Orange library to group together images that share similar features: Fundamentals of AI Assignment, NUS
Question 1 Clustering of templates of different shapes Below are images of a pool of different logos. Apply the best algorithm in Python’s Orange library to group together images that share similar features. Describe how the clustering algorithm used in…
Nursing Informatics
Create a hypothetical data set of 10 patients in an Excel spreadsheet that demonstrates the results of an informatics initiative. Write a 1–2 page executive summary explaining the spreadsheet and the results of the initiative. Introduction Nursing Informatics can provide…
The assessment for this assignment will be a Service Improvement Report: Safe and Effective Quality care in Adult Nursing Assignment, KU, UK
Assessment task The assessment for this assignment will be a Service Improvement Report. The patient safety problem/quality issue can be identified from several sources for example: NHS Improvement, CQC report, Ofsted report, problem/issues identified via DATIX, serious case review, research…
Develop a Python Orange program to train a machine learning classifiers to classify the mobile phone price range: Fundamentals of AI Assignment, NUS
Question 2 Classification of Notes authenticity You are given a dataset, Mobiledata.csv, which contains features of the phone and their price range. The price range is indicated by the numbers 0,1,2, or 3. Your task is to train a classifier…
Nursing Informatics can provide health care organization executives with critical information
Create a hypothetical data set of 10 patients in an Excel spreadsheet that demonstrates the results of an informatics initiative. Write a 1–2 page executive summary explaining the spreadsheet and the results of the initiative. Introduction Nursing Informatics can provide…
Develop a prototype with Machine Learning Model. Split the dataset into a training set and a testing set: Fundamentals of AI Assignment, NUS
Question 3 Prediction of insurance price using Regression models A health insurance company has provided you with data about their customers and the amount of insurance paid for each customer. Your task is to develop a machine learning application that…
Format the text dataset into the Bag of Words using Python’s Orange library. Then: Fundamentals Of AI Assignment, NUS
Questions 4 Topics Classification from the text Given a dataset named “topics_dataset.tab” which includes sentences and corresponding labels indicating the topic of each sentence, complete the following tasks: Format the text dataset into the Bag of Words using Python’s Orange…
Use the image data in the directory to train a machine-learning hand sign classifier: Fundamentals Of AI Assignment, NUS
Questions 5 Image Classification Problems The folder contains 11 subfolders of different hand sign images namely a,b,c,d,e,i,m,n,s,x, and y. Use the image data in the directory to train a machine-learning hand sign classifier and a neutral networker hand sign classifier.…