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Machine Learning The purpose of this assignment is to describe and evaluate machine learning processes and techniques used in health care

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Machine Learning

The purpose of this assignment is to describe and evaluate machine learning processes and techniques used in health care. In an 850-1,000-word essay, address the following:

• Describe the difference between labeled data sets and unlabeled data sets.
• Pick either supervised or unsupervised machine learning and discuss the type analytic tool that is used to analyze the data sets.
• Discuss the rationale for selecting the analytic tool that was selected to analyze supervised vs. unsupervised machine learning.
• Discuss the machine learning process?
• Provide examples of the uses of machine learning in health care.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

Resources

Read "Machine Learning in Medicine: A Practical Introduction," by Sidey-Gibbons and Sidey-Gibbons, from BMC Medical Research Methodology (2019).

URL: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0681-4

Read "Prediction of Hospitalization Due to Heart Diseases by Supervised Learning Methods," by Dai et al., from International Journal of Medical Informatics (2015).

URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314395/

View "Machine Learning Zero to Hero (Google I/O'19)," by TensorFlow (2019), located on the YouTube website.

URL: https://www.youtube.com/watch?v=VwVg9jCtqaU

View "Holzinger Group Welcome to Students," by Holzinger (2016), located on the YouTube website.

URL: https://www.youtube.com/watch?v=lc2hvuh0FwQ&feature=youtu.be

 

Course Code HIM-650 Class Code HIM-650-O500 Criteria Criteria Percentage 100.0% Difference Between Labeled and Unlabeled Data Sets 14.0% Discussion of Supervised vs. Unsupervised Machine Learning and Type of Analytic Tools Used to Analyze Data Sets 14.0% Rationale for Selecting Analytic Tool to Analyze Supervised vs. Unsupervised Machine Learning 14.0% Machine Learning Process 14.0% Examples of the Uses of Machine Learning in Health Care 14.0% Thesis Development and Purpose 7.0% Argument Logic and Construction 8.0% Criteria 2Mechanics of Writing (includes spelling, punctuation, grammar, language use) 5.0% Paper Format (use of appropriate style for the major and assignment) 5.0% Documentation of Sources (citations, footnotes, references, bibliography, etc., as appropriate to assignment and style) 5.0% Total Weightage 100% Assignment Title Machine Learning 1: Unsatisfactory (0.00%) The description of the difference between labeled and unlabeled data sets is not present. The discussion of supervised vs. unsupervised machine learning and the type of analytic tools used to analyze the data sets is not present. The discussion of the rationale for selecting the analytic tool to analyze supervised vs. unsupervised machine learning is not present. The discussion of the machine learning process is not present. The discussion of examples of the uses of machine learning in health care is not present. Paper lacks any discernible overall purpose or organizing claim. Statement of purpose is not justified by the conclusion. The conclusion does not support the claim made. Argument is incoherent and uses noncredible sources. Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used. Template is not used appropriately or documentation format is rarely followed correctly. Sources are not documented. Total Points 90.0 2: Less Than Satisfactory (74.00%) The description of the difference between labeled and unlabeled data sets is present but lacks detail or is incomplete. The discussion of supervised vs. unsupervised machine learning and the type of analytic tools used to analyze the data sets is present but lacks detail or is incomplete. The discussion of the rationale for selecting the analytic tool to analyze supervised vs. unsupervised machine learning is present but lacks detail or is incomplete. The discussion of the machine learning process is present but lacks detail or is incomplete. The discussion of examples of the uses of machine learning in health care is present but lacks detail or is incomplete. Thesis is insufficiently developed or vague. Purpose is not clear. Sufficient justification of claims is lacking. Argument lacks consistent unity. There are obvious flaws in the logic. Some sources have questionable credibility. Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied. Appropriate template is used, but some elements are missing or mistaken. A lack of control with formatting is apparent. Documentation of sources is inconsistent or incorrect, as appropriate to assignment and style, with numerous formatting errors. 3: Satisfactory (79.00%) The description of the difference between labeled and unlabeled data sets is present. The discussion of supervised vs. unsupervised machine learning and the type of analytic tools used to analyze the data sets is present. The discussion of the rationale for selecting the analytic tool to analyze supervised vs. unsupervised machine learning is present. The discussion of the machine learning process is present. The discussion of examples of the uses of machine learning in health care is present. Thesis is apparent and appropriate to purpose. Argument is orderly, but may have a few inconsistencies. The argument presents minimal justification of claims. Argument logically, but not thoroughly, supports the purpose. Sources used are credible. Introduction and conclusion bracket the thesis. Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed. Appropriate template is used. Formatting is correct, although some minor errors may be present. Sources are documented, as appropriate to assignment and style, although some formatting errors may be present. 4: Good (87.00%) The description of the difference between labeled and unlabeled data sets is detailed. The discussion of supervised vs. unsupervised machine learning and the type of analytic tools used to analyze the data sets is detailed. The discussion of the rationale for selecting the analytic tool to analyze supervised vs. unsupervised machine learning is detailed. The discussion of the machine learning process is detailed. The discussion of examples of the uses of machine learning in health care is detailed. Thesis is clear and forecasts the development of the paper. Thesis is descriptive and reflective of the arguments and appropriate to the purpose. Argument shows logical progressions. Techniques of argumentation are evident. There is a smooth progression of claims from introduction to conclusion. Most sources are authoritative. Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech. Appropriate template is fully used. There are virtually no errors in formatting style. Sources are documented, as appropriate to assignment and style, and format is mostly correct. 5: Excellent (100.00%) The description of the difference between labeled and unlabeled data sets is thorough. The discussion of supervised vs. unsupervised machine learning and the type of analytic tools used to analyze the data sets is thorough. The discussion of the rationale for selecting the analytic tool to analyze supervised vs. unsupervised machine learning is thorough. The discussion of the machine learning process is thorough. The discussion of examples of the uses of machine learning in health care is thorough. Thesis is comprehensive and contains the essence of the paper. Thesis statement makes the purpose of the paper clear. Comments Clear and convincing argument that presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative. Writer is clearly in command of standard, written, academic English. All format elements are correct. Sources are completely and correctly documented, as appropriate to assignment and style, and format is free of error. Points Earned