Analytics

Predictive analytics could be described as the utilization of model and statistics to predict prospective performance based on prevailing and historical data. The use of predictive analytics, on the hospital readmission, should be able to predict who among the patients is likely to be readmitted to the hospital. A patient with a heart disease for example…

diagram above. A HPLC apparatus is including a solvent reservoir, degasser, pump, injector, HPLC column, detector and data collection device. Solvent reservoir The solvent reservoir is usually a glassware or reagent bottle which contained the analytic sample. It is located at the upper part of the HPLC. It is also known as mobile phase reservoir since the sample will be moved. The flowing of the sample is depends on gravitational pull. The solvent which needed to be analysed is a liquid…

Freud’s third paper on the technique of psychoanalysis deals with the issue of love in the analytic situation. The paper deals with the transference of love, its hindrance to recovery, how it needs to be dealt with, and eventually transformed and used towards the healing process. The occurrence of falling in love is explored from a practical and theoretical position. When the client falls in deep love with the analyst, the analyst is faced with a specific set of challenges. Should he a) end…

Employment and Analytics: Here is a particularly egregious and invasive use of big data. With the cost of health care rising, many employers are looking for ways to promote healthier lifestyles and penalize bad ones. By turning to data analytics they can evaluate their employees against the profile of healthy people. We aren 't talking about blood pressure and lean body mass here…

Case no. 1: Risk Stratification: The Breast Cancer Risk Assessment Tool is an interactive tool designed by scientists at the National Cancer Institute (NCI) and the National Surgical Adjuvant Breast and Bowel Project (NSABP) to estimate a woman's risk of developing invasive breast cancer. It has been used widely along with other such tools to predict risk of breast cancer. Breast cancer risk assessment tools are helpful in determining the risk group a patient is in. However, their accuracy for…

one is ‘ the meaning and reference’ in 1973 and the other is ‘ the meaning of meaning’ in 1975. In those two successive articles he had thrown light on Semantic Externalism. The conclusions of analytic and synthetic distinction is later termed as Semantic Externalism. Putnam’s view is that this analytic synthetic distinction…

The team has discovered right away, that it will take a superb level of communication throughout the facility in order to be successful and accomplish the goal. Business analytics can be very complicated to an organization if the communication is not well. Business analytics is only a portion of the overall process, it takes constant communication to be successful Killekar, Shah, & Kolge, (2013). In order to ensure that everyone is on the same page, we will use a local business to assist with…

image, video, story, speech event, and data/info analytics are now the norms which make sharing a prominent strategy for branding. As internet-related technology advances, digital/mobile media advertising or similar tactics, therefore, are on the rise and since then have progressed to a more diverse spectrum that win over the mundane old-fashioned monotonous promotional routine. Of course, there are numerous digital/mobile marketing channels and analytics tools to select from, but to be…

Ballast Water Self-Monitoring System A ballast water self-monitoring system combined with an already approved and tested BWTS harnesses technological advancements that allow for a wide array of analytics and the ability to monitor ballast water treatment systems globally, creating transparency between vessel owners and subscribers in real time. A self-monitoring system would have to meet requirements enacted by different organizations and would have to comply with a stricter standard if an…

patterns above. Scenario – Analytics on streaming data Problem Statement An application needs to perform risk analysis on streaming credit card data. Some of the analyses are implemented in-house, while others are implemented at the client site based on specific client needs. In-house analytics include vendor patented outlier detection and anomaly detection algorithms. Client site implementations involve a large set of compliance rules. The in-house analytics is obfuscated and packaged…