The main theme of the report and the features researched and focused on should be as follows:
-What data can we get
-How do we resolve ethical concerns on machine learning heart disease, why there are ethical concerns, how can we use machine learning to prevent ethics
-Ethical implications for disease prediction with machine learning in time
-Take information from different paper and create own data related with research
-Look past researchs
-Ways to implement ethical implications to another disease.
-Attainable methodology as a student (such as secondary data).
-How to apply this ethical solution
Research Question: Are ethical considerations a barrier to using Machine Learning Techniques in Healthcare.
Should ethical considerations stop them to use Machine Learning Techniques in Heart diseases.
INTRODUCTION: should give research question, why this is important why do we care
METHODOLOGY: Just like in a lab, Where did I search for my sources, what terms did I type to find sources and how did I decide which one to use, How to conduct methods, steps we took, give enough info so that
somebody can take research and use it, someone can replicate the process by reading methodology
RESULTS – FINDINGS: Use some figures from sources, create own data, Show findings and answers the
question, Produce some table that summarizes some ethical considerations from different articles, Categorize
ethical considerations use numerical data quantify this considerations.
DISCUSSION – Discuss what found, reflect on research, talk about any limitations of work, suggest further
research