Predictive analytics

Morrison (2012) explains that nurses have specialised knowledge to gather comprehensive physical assessments and differential diagnoses. Evidence-based practice utilises the best available evidence and clinician expertise to formulise an evidence based decision (Bickley, 2013). This essay will analyse the diagnostic reasoning behind decisions made in the diagnosis of a client. A brief diagnosis and pathophysiology will be explained, followed by the client’s health history, physical examination…

Introduction The Morse Fall Risk Assessment is used to identify risk factors for falls. It is most important to identify and plan care for risk factors, but the total score may also be used to predict future falls. This tool takes less than three minutes to complete and is administered by a registered nurse. It is combined with a clinical assessment and review of medications to assess the patient’s risk for falls. The tool should be administered at least once a day and also if there is a change…

Felicity, Is it subjective or objective? Do people strive to attain happiness by means of their own understanding of the world? Can it be compared to reality, where we try to base our view of what is real and true as much as we are capable of through own perhaps incomplete reasoning? Likewise for happiness do we all devote our time to obtain that happiness as closely as possible, according to our own understanding or is it all just subjective? Have your heard of a cliché statements such as ‘Mind…

3. A BRIEF BACKGROUND ON THE DECISION MAKING TOOLS USED Analytic Hierarchy Process (AHP), developed by Saaty (34), is designed to solve complex multi-criteria decision problems. AHP decomposes the complex decisions in a hierarchical structure and makes it easy to manage the complex decisions in this way. So the decision maker can determine the trade-offs among objectives related to all criteria, sub-criteria and their pairwise comparisons. The output of AHP is a prioritized ranking…

Georg Friedrich Bernhard Riemann was a German mathematician who made huge contributions to the field of mathematics, and more specifically calculus. Riemann was born on September 17, 1826 in Breselenz, Germany. His father, Friedrich Bernhard Riemann, was a poor pastor, and his mother, Charlotte Ebell, died before her children had reached adulthood. Growing up, Riemann showed exceptional skill with mathematics, such as his abilities in calculation. In fact, in 1840, Riemann went to live with his…

Predictive Analytics Questions Answered How can predictive models impact business decisions? Otherwise, one is forced to look at millions of rows every day and make decision. Human brain has non linear thinking to do this but, memory is limited. so we will end up doing the same thing over and over again. Predictive algorithms free human brain from its limitations and performs algorithms on computers do what human brains are not capable of- looking millions of records for each of at least three…

Beginning in June of 2011, the Centers for Medicare and Medicaid Services (CMS) started streaming all fee-for-service (FFS) claims through predictive modeling protocol. The technology designed to profile medical providers, billing patterns and networks enables CMS to flag and investigate potential fraudulent claims activity. Utilizing advanced technology and traditional investigative strategies together to identify, or prevent, improper billing allowed CMS to recover a staggering $19.2 billion…

CASE STUDY: PREDICTIVE ANALYSIS MOUNIKA ENUGALA NORTHEASTERN UNIVERSITY  INTRODUCTION Predictive analysis is the process in the advanced analytics field which predicts the unknown scenarios in future. It uses lot of techniques like machine learning, data mining, probability and statistics, IT, data management etc. It brings down the results of previous input data searches and manages to understand the connections between the data thus identifying all the opportunities and risks of future which…

Inevitable Need for Predictive Marketing “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Every marketer can relate to this famous quote by John Wanamaker, a pioneer in marketing. Fortunately, predictive marketing is helping marketers realize which half of their marketing budget is being wasted. Predictive marketing leverages statistical tools and historical data to predict the marketing actions that have high possibility to succeed and those that have…

Fully custom solution, not turn-key Every project that Fluent Analytics undertakes is completely customized to the needs of the client. Customization ensures that the analytics application we build develop a thorough understanding of your organization and your patients. Our customized solutions allows us to dig deeply into the data, both after the initial implementation, and during each subsequent implementation, allowing for further customizations based on new rules and definitions. Designing…