Health Care

Analytics
Sandra Hernandez 0
Experimente las nuevas posibilidades: Precisión al ver con claridad

Ya no se trata de imaginar cosas. Cada día las empresas enfrentan miles de desafíos. Desde decisiones de negocio hasta procesos operativos, pasando por la manera de relacionarse con sus clientes o de preparar los informes de cumplimientos regulatorios o cuidarse de los ataques o fraudes. No son escenarios que

Data Visualization
Sanjay Matange 0
Category highlighting

When presenting information in form of a graph we show the data and let the reader draw the inferences.  However, often one may want to draw the attention of the reader towards some aspect of the graph or data.  For one such case, a user asked how to highlight one

Advanced Analytics | Machine Learning
Andreas Becks 0
Stop Algorithm Porn! Warum Machine Learning alleine kein Wundermittel ist

In meinem vorherigen Beitrag  ging es darum, wie sich das Internet of Things (IoT) über den aktuellen Hype hinaus geschäftsfähig machen, also operationalisieren, lässt. Und um die Hürden, die Unternehmen in Sachen Analytics dafür überwinden müssen. Immer wieder spreche ich in diesem Zusammenhang mit Kunden über ein Thema, das nicht

Work & Life at SAS
Cheryl Wheelock 0
Diabetes Alert Day

The American Diabetes Association recognizes March 28, 2017 as Diabetes Alert Day. The intention of this day is to bring awareness to the prevalence of Type 2 Diabetes in America. http://www.diabetes.org/are-you-at-risk/alert-day/ I have a strong family history of type 2 diabetes, which throughout the years has motivated me to learn

Analytics | Data Management
Cecily Hoffritz 0
Get in control of EU Data Protection regulation

Whether you work with IT, compliance or at C-level, you would have heard of the new EU General Data Protection Regulation by now. With the compliance deadline of May 2018 fast approaching, hopefully, you have already started taking necessary steps to prevent your company from incurring massive fines. How do

Advanced Analytics | Internet of Things
Katrina Wakefield 0
Are public services ready to exploit artificial intelligence?

Governments are already using data and analytics in a number of ways to help them become better informed and provide superior services for their citizens. For both central and local governments, an increasing number of back end processing and citizen engagement opportunities are emerging for smart use of artificial intelligence

Data Visualization
Sanjay Matange 0
Getting Started with SGPLOT - Part 4 - Series Plot

This is the 4th installment of the Getting Started series.  The audience is the user who is new to the SG Procedures.  Experienced users may also find some useful nuggets of information here. Series plots are frequently used to visualize a numeric response on the y-axis by another numeric variable on

Analytics | Risk Management
Christian Engel 0
Data Scientists im Gesundheitswesen – Chancen im morbiditätsorientierten Risikostrukturausgleich

Seit 2009 sollen der Gesundheitsfonds und der morbiditätsorientierte Risikostrukturausgleich in der deutschen gesetzlichen Krankenversicherung (GKV) für eine ausgewogenere Verteilung der Einnahmen bei den Kassen sorgen. Ziel ist ein sozialer Ausgleich für unterschiedliche Einkommensstruktur und Krankheitslasten bei den Mitgliedern. Über einen sehr interessanten Nebeneffekt, den dieses regulatorische System ungewollt ausgelöst hat,

Machine Learning
Alison Bolen 0
12 machine learning articles to catch you up on the latest trend

Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to

Analytics | Fraud & Security Intelligence
John Stultz 0
What can agencies learn from massive Medicaid fraud busts?

On June 22nd, the U.S. Department of Justice announced the largest Medicaid fraud bust in history. The National Health Care Fraud Takedown included 301 defendants charged, $900 million in false billings, 61 medical professionals and 29 doctors, across 36 states. In another case, investigators in New York uncovered more than

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