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PDF Editor FAQ

What are the most interesting health care datasets?

Here’s the thing - there seems to be a level of misunderstanding with regard to what we call as datasets (outlines of metadata structured in a purposive and organized way for certain and specific data collection efforts) and what we call as classification systems (systems of nomenclature used for categorizing certain types of health information such as medical diagnosis and other related conditions). Let me first explain by an easy example:I am assuming that most following this question would be familiar with a patient’s chart - that wood/metal/electronic storage of papers/pages that consist of templates and forms for gathering data, mostly from patients. Each one of those pages can already be considered a dataset - a compilation of metadata that can stand at the starting end of the data management flows in healthcare.Building up on the example, a medical diagnosis a physician gives to a certain patient’s case is written on a form in the patient’s chart and is then converted to an ICD and/or SNOMED-CT code. Two things happened in that instance. Your metadata for medical diagnosis is provided with a data to form information on the patient’s condition. This is followed up the conversion of the diagnosis to examples of a classification system - a body of nomenclature for categorizing a certain aspect of healthcare, in this case, medical diagnosis.Having cleared up the difference between a dataset and a classification system, one of the most well-known datasets would be the Minimum Data Set, a part of a U.S. federally mandated process for clinical assessment of all residents in Medicare or Medicaid certified nursing homes: Mds hc - 2017 2018 EduVarkTake note of the structuring of the items/metadata and it went further with declaring how data to be attached to each metadata will be structured (in numerical forms chosen from a list of items with corresponding item numbers)

What are the best ways to write a literature review?

A literature review is more of an explanation than a summary!Literature review is a critical analysis of an authorized and accredited body of knowledge through classifications, summary, evidences, justifications and comparison of prior research studies. While writing, you must not confuse your review paper with an annotated bibliography.Being a writer, your purpose is to realize the readers that this chapter is informative and targeted but, it still has the scope to answer “Why”, “When”, “What” and “How”. More than just sequence of names, your literature review outline must have solid substances as well.Before understanding the rudimentary facts about outline template, learn the two major aspects either of which can be followed while designing a literature review outline.Aspects of a literature review paperDepending on the university guidelines, you have to choose either of the below mentioned aspects for your review paper. If you follow any of the sample literature review, you can observe a clear distinction between the two aspects. No matter which of the two you pick, make certain you justify the original creator’s work in a true sense.See what the scopes are!An effective summary and synthesis of specific documents on a particular research topicA critical synthesis of prior research studies that logically leads to the queries that you wish to explore in your review paperA literature review is much like a conversation grounded with academic theory, arguments and reasoning. In order to draft the most incredible literature review outline, you need to comprehend the ways to conduct the conversation.How to conduct the conversation?Conversations in a literature review paper are a three-tier process with each tier having its own trait. Here are the significant stages of the conversation –Intellectual (logos): In this phase, you have to project the location of your question, the problems associated with its wider academic and the other professional contexts relatable with the piece of writing. Apart from this, you also need to enlighten on the status of your study within the discipline, its significance, purpose, meaning and relevance.Social (ethos): Here you need to establish your right to speak with proper arguments and illustrations. You also have to make people realize why they should read your work till the end.Rhetorical: This section is more generic than the other two. Here you have to present your ideas for a specific pattern that information should follow in order to make the content coherent.A literature review outline entails multiple stages that are concurrent with each other. You have to interlink the stages with a transition phase maintaining their significance.Stages of literature review outlineA successful literature review outline stands on brainstorming ideas, a collection of relevant data, a solid research and proficient writing. In the subsequent part, you can find an illustration of each phase –Procure innovative ideas to present a literature review:Unique and captivating stream of thoughts is the spine of a successful literature review paper. You have to present key literature relatable with your field of research written by accredited authors.The foremost responsibility is to choose the literature from online databases like Google Scholar, Learning Resource Library Guides, UMD Library and other noteworthy online libraries. You may also seek help from electronic databases (eg. KeyNote).Besides these search engine results, you may also refer to the bibliographies mentioned in your module handbooks. Course books cover a list of reference textbooks, articles and so on, from where you may get solid sear results.If you reach a dead loop or get stuck at some point, you must consult with your research guides or professors. Never let internet be your primary source of information.Narrow down your considerations:You have to refine your choices. From the general topics, the initial task is to figure out the set of information that you wish to analyze.Once you are done with the selection, you have to fathom the appropriate information that you can use directly or indirectly. Now, extract all the relevant data from those sources so that later, you can use those facts and figures as evidence.Literature review paper is not about how much you have read it is more about how much research you have done. You must maintain extreme clarity in your writing.Note taking is crucial to present a perfect literature review:As you proceed with your research, take note of the crucial points that you need mentions. Do not just highlight a sentence or some specific words, there are several processes of note-taking mentioned below.Summarize any portion that seems relevantQuote from prior researchesParaphrase previous studies in this fieldList the critical questions that come to your mindNote down any comment that strikes your brain at that momentKeep details of the authors, books, publishers or titles of any other articles, essays and so onYou can paraphrase from the literature that you are going to review and you can also quote other author’s previous comments on that piece of writing.Assess and order your research:Most of the students and novice writers reach a phase where they have an enormous amount of information but they have no idea about what to do with them. This is the stage where they remain confused about whether or not that much data is sufficient.The only solution is to assess the data whether they are relevant and concern with your future proceedings. Sort the ones you need and prioritize them to define their order.One of the vital responsibilities is to identify which of the author’s ideas complement each other and which are the thoughts that disagree.Choose an approach and plan your writing:Approaches to planning your literature review are multiple but, you need to choose amongst the rest. Depending on your topic and research filed, you have to choose an effective approach that may help you to compose the best literature review.Mentioned below are the distinct aspects of writing a literature review paper.ChronologicallyThematicallyBy ‘different schools of thought’No matter which approach you choose, you must keep a significant relevance between each paragraph. You need to make use of smooth transition sentences in order to keep the flow of writing intact and relatable.Write and re-write unless you feel satisfied:One of the most laborious stage of literature review writing. Make sure there is no repetition of data in your writing and all the contents are original and apt. While drafting the first copy, you must maintain little or no mistakes so that you don’t have to waste extra hours in proofreading the document.Focus on the following factors while writing your draft –Avoid global statements even if the problem area is of the broader aspectIdentify the importance of reviewing the topicPrecisely comment on the timeliness of the topicWhile citing a landmark or classic study, consider it as suchJustify your comments like – “no studies were found”Avoid non-specific referencingIf the previous research analysis are inconsistent, cite them separatelyProvide an overview if your review is longYou need to have utmost language proficiency and in-depth knowledge about the topic in order to ensure high-quality standard. Prior to writing, you must study multiple examples of a literature review paper to gain a profound idea about the exact style of writing.Edit and proofread to assure 100% accuracy:As you complete drafting the literature review paper, the foremost task is to proofread the copy. You must assure there is absolutely no mistake during submission. While revising the review paper, concentrate on the grammar issues, spelling mistakes, and erroneous wordiness. You must also check for punctuation splices so that the meaning remains intact.Manual editing is a great way of identifying the mistakes. As you read aloud, you can hear wherever you have written wrongly.By far, you must have understood the stages a writer has to walk through in order to outline a literature review paper. In the subsequent portion of this blog, you can find the significant elements of a review paper and what are the substances to be entailed in those categories.Elements to be included in a literature reviewIn a literature review paper, you have to be very careful so that you do not sound harsh towards any author. Each of your justifications must be authentic and you should present them in a decent way.Here are the categories and subcategories to mentioned in the review paper –Introduction: This is almost like an overview of the context. Here you need to highlight the following points –Mention about the range of the topicIntroduce the name of the author and bookGive a brief idea about the themeOrientate the reader with the literaturePortray your research in a few sentencesDepict the need for this reviewMain body part: The most important section of the literature review paper has two distinct sub-categories. Both of them have their own significance and distinct writing approach.Critique the piece of work: In this section, a writer needs to discuss the content of the book and arguments depicted by the creator. In the subsequent paragraphs, you have to put forth the negative and positive aspects of the book. If you have liked the work, better to start with the negatives and course into the positive points otherwise, vice-versa.Develop your own argument: Here you need to voice your own arguments and their specific explanations. Remember to b strict and precise in your point of view in order to convince the readers. Make sure your illustrations justify your arguments in a true sense.Conclusion: In the concluding paragraphs, you have to keep relevance with the topic as well as an interconnection with the previous paragraphs. End with a logical statement that sums up your idea more or less. You can also include bits of researches in your concluding section so that readers can relate to the rest of the review paper.

As a beginner and a novice in the field, how do I plan to learn machine learning, AI, and data science, i.e. a proper outline of topics/skills I should start with?

The terms Data Science, Machine Learning, and AI fall in the same domain and are connected to each other, they have their specific applications and meaning. You can learn learn them easily via online resources. But before you need to learn some math topics and programming languages.Calculus , Algebra , Probability & statistics And some python libraries..Programming languages like R , PythonNow you can learn from below suggested Best ML , AI, and Data Science Online CoursesBest Machine Learning Online Courses.#1 Machine Learning A-Z™: Hands-On Python & R In Data Science#2 The Complete Machine Learning Course with PythonChoose the first course.. From this course you may learn about:Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.it is structured the following way:Part 1 – Data PreprocessingPart 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest RegressionPart 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest ClassificationPart 4 – Clustering: K-Means, Hierarchical ClusteringPart 5 – Association Rule Learning: Apriori, EclatPart 6 – Reinforcement Learning: Upper Confidence Bound, Thompson SamplingPart 7 – Natural Language Processing: Bag-of-words model and algorithms for NLPPart 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural NetworksPart 9 – Dimensionality Reduction: PCA, LDA, Kernel PCAPart 10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoostAdditional courses:#3 Data Science, Deep Learning, & Machine Learning with Python

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