Predicting Breast Cancer - Report Writing - Nursing Assignment Help

Assignment Task

Predicting breast cancer
Overview
Breast Cancer (BC) is a common disease. However, the amount of available data has made it possible for business analyst and data scientist to design and deploy useful predictive models that are able to foresee the likelihood of breast cancer based on a variety of attributes related to patients and ultrasonic imaging.

Your task
In this assignment, your task is to design a predictive model based on clustering and/or classification to predict the likelihood of existence of breast cancer in a patient. In particular, we ask you to apply the tools and techniques that can help you to predict patients with high likelihood of breast cancer. The final deliverable of your assignment task should be a report containing the following sections:

•Defining Business Objectives
The project report should start with the description of well-defined business objective. The model is supposed to address a business question. Clearly stating that objective will allow you to define the scope of your project and will provide you with the exact test to measure its success.

•Exploring data
Once you have addressed missing values and duplicate data problem you will need to explore inherent relationships between the different variables. The focus variable for this study is the Result column (since you are asked to predict it). So, this section should show your efforts to identity from the remaining columns in the dataset which are likely to have high predictive power on the ‘Result’ column. You may use both basic statistical analyses such as correlations and present them as visual graphs or tables (raw data).

•Preparing Data
You’ll use historical data to train your model. Data may contain duplicate records and outliers; depending on the analysis and the business objective, you decide whether to keep or remove them. Also, the data could have missing values, may need to undergo some transformation, and may be used to generate derived attributes that have more predictive power for your objective. Overall, the quality of the data indicates the quality of the model. You need to provide a data dictionary of all data items used in your analysis and their justification to be included in your model.

This Nursing Assignment has been solved by our Nursing experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.