Positive predictive value

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    Physical findings and tests reduce indecision on whether the patient has the given condition or not (Bickley, 2013b), However sensitivity and specificity should be considered to avoid false diagnosis (Bickley, 2013b). Tests sensitivity refers to accurately being positive in individuals with the disease, while, specificity refers to individuals with out the disease shown as true negatives (Bickley, 2013b). Together, the higher the specificity and sensitivity the more accurate the test is, and the most accurate test is termed “gold standard” (Dennis et al., 2015). Tokyo guidelines have taken the difficulty out of diagnosing acute cholecystitis, with developing international consensus for diagnosis (Gurbulak et al., 2015). Tokyo’s guideline diagnostic criteria include one local sign or symptom, one systemic finding and confirmatory ultrasound findings (Dennis et al., 2015; Gurbulak et al., 2015; Yokoe et al., 2012).…

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    frame of four weeks, and if the patient had a fall incident or was discharged, the assessment was dismissed. In order to determine which scale was the best of three, sensitivity, specificity and positive and negative predictive values were assessed. The Morse Fall Scale yielded t he highest sensitivity, and the Bobath Memorial Hospital Fall Risk Assessment Scale yielded the lowest sensitivity. In this study, the Morse Fall Scale was the most reliable source. Even though it has lower risk…

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    Star Alliance Case Study

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    Background Star Alliance has approximately 250,000 questionnaires that have been collected from Alliance carriers. To put the value of this data in perspective, many life-saving drugs on sale today with a value in the billions of dollars, have been analyzed with less than 1/10th or less of data that Star Alliance has available. Although many predictive analysis and modeling techniques have been available for decades, the time and resources to internally plot all of the potential relationships…

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    appreciation, and reconsideration, but also be willing to replace those individuals subsequently identified as deterrents to success for the team (Westman & Bouman, 2005). Enrollment Projections, Predictive Modeling, and Territories Creating a method to track enrollment can provide enrollment managers a snapshot of projections for upcoming enrollment, and allow for more precise budgeting using the predictive model. Enrollment predictors can be created and tracked using simple software such as…

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    Random Forest Essay

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    Random forest is used in this paper but usually to predict via using univariate method. But this time they used a multivariate method that being Random Forest. Random forest is good for microarray data and shows when the predictive data is “noisy, it can be used when the number of variables is much larger than the number of observations.” Their results in this paper showed that random forest has comparable performance compared to others including SVM and KNN. It also tells us that the gene…

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    Participants were asked about the role of technology in nursing informatics (see Appendix A). Nursing informatics technology was viewed as voice recognition (10%), predictive modeling (50%), personalized healthcare (30%), medical device integration (10%). Barriers to technology (see Appendix B) were described as lack of management support (30%), lack of effective project management (30%), lack of common standards (20%) and lack of commitment from clinicians (20%). What is the impact of…

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    Huntington disease (HD) is a neurodegenerative disorder affecting 1 in every 10,000 individuals (Halpin, 2011). Genetic predictive testing is a good option for at-risk individuals to know if they will develop the disease. Therefore in this paper, I will discuss HD genetic testing advancements, as well as the advantages and disadvantages of the test. HD is an inherited neurological disorder that results in involuntary movements as well as cognitive and psychiatric disturbances (Warby et al.,…

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    Predictive analytics can be used which allows businesses to extract big data and analyze it to better understand customers. This analysis is a game changer for businesses because it allows them to make predictive models that will help them serve their customers better. This business strategy is important as it provides the data they need to make predictions for the future and it gives them the ability to modify when results are affected. In order to take this strategy into consideration, firms…

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    Task Group Background

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    gender, age, health, attitudes, and values.” (p.3) For example if someone grew up in rural, farm country in Wisconsin, with small schools and less populace access they tend to be more reserved as well as a working person behind the scenes within a group setting. Whereas you taking someone from big ranch country of Texas, with large schools, and metropolitan access their background might influence them to be out going within a group setting. Sometimes it’s not even where someone grew up but it…

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    Airbnb Essay

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    to analysis feasibility through pertinent measurements. The nine building blocks of ‘the business model canvas’ (Osterwalder & Pigneur, 2009), enables researchers, or other stakeholders a more comprehensive overview of business feasibility. The BMC aims to act as a driver of a firms’ ability to create and deliver value (Morris et al, 2005). The emerging share economy companies such as Airbnb involve reformation to adapt within in the BMC framework, because of its operation to an array of unique…

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