In the preceding two posts, we looked at issues around interpretability of modern black-box machine-learning models and introduced SAS® Model Studio within SAS® Visual Data Mining and Machine Learning. Now we turn our attention to programmatic interpretability.
What do two health systems, 4000 miles apart (6600 kilometers) have in common in their COVID-19 response? Despite different policy responses to the pandemic, they are more alike than you might think. Brought together by SAS and the FutureNHS COVID-19 analytics huddle, these two health systems recently shared their experience
El año pasado hablábamos de las descomunales capacidades de cómputo y de cómo las organizaciones y los gobiernos podían transformar todos estos datos en mayor inteligencia de negocios. Este año, el mundo ha cambiado para todos y la analítica avanzada; la toma de decisiones basada en la proyección de escenarios;
La pandemia originada por el COVID-19 ha puesto de manifiesto, entre otras muchas cosas, el reto que supone para los sistemas de salud hacer frente a una emergencia sanitaria de gran alcance. Garantizar la disponibilidad de camas hospitalarias, ventiladores o incluso de profesionales sanitarios para atender las necesidades de miles
El aprovechamiento de los datos ha demostrado ser muy importante en estos tiempos en los que cuidar la salud y tomar decisiones inteligentes ha sido la prioridad, pero lo será mucho más, ahora que los países buscan recuperar las dinámicas económicas, comerciales y sociales en el menor tiempo y de
“He spends a lot of time wandering around in circles in the backyard,” my wife said to someone on the telephone. That’s true. Our backyard is only about 1/8th of an acre and I have taken to wandering outside and walking around the fence line. Ostensibly, I am checking to
While working at the Rutgers Robert Wood Johnson Medical School, I had access to data on over ten million visits to emergency departments in central New Jersey, including ICD-9 (International Classification of Disease – 9th edition) codes along with some patient demographic data. I also had the ozone level from
바이러스는 어떻게 확산될까요? 전염 가능성을 높이는 요인은 무엇일까요? 사람에 따라 증상이 다른 이유는 무엇일까요? 어떤 치료법이 효과 있을까요? 백신 개발은 얼만큼 진행된 걸까요? 매일 새로운 연구 결과가 발표되고 세계 각지에서 연구 프로젝트가 진행되고 있지만, 코로나19와 신종 코로나바이러스에 대해서 우리는 여전히 아는 것보다 모르는 것이 더 많습니다. 그리고 풀어야 할 궁금증은
Las organizaciones de salud, los gobiernos y la población en general siguen concentrando sus esfuerzos en reducir la velocidad de propagación del COVID-19. Las medidas de prevención implementadas en todo el mundo, como el confinamiento y el distanciamiento social, han contribuido a ralentizarla. No obstante, continúan reportándose altos índices de
This month we celebrated International Nurses Day at a time when nurses and other health care professionals have never been so needed. This important day also fell on what would have been Florence Nightingale’s 200th birthday. Most people know Florence Nightingale as the famous nurse who saved hundreds of lives during the
La crisis sanitaria y social provocada a nivel global por la pandemia del COVID-19 ya ha mostrado cómo algunos gobiernos están apostando por tecnologías punteras, como la inteligencia artificial, analytics, big data o machine learning para una toma de decisiones basada en datos. Muchos países abordan la desescalada de la
If you're close to my age, you probably remember Joe Walsh's song Ordinary Average Guy. That song popped into my head when I was writing this example about moving averages, so I encourage you to listen to it while reading the blog post. Many people are looking at graphs lately
The COVID-19 pandemic has driven up awareness of behavioral health need to new levels. As we honor Mental Health Month, schools, governments, and private companies are all talking about how to support people’s behavioral health. This is wonderful progress compared to our global history of speaking of mental health and
As we continue the fight against COVID-19 and reflect on the pandemic response, it’s in our nature to look for opportunities to work together and help others. Indeed, we’ve seen numerous acts of heroism alongside tragic stories of loss. In the research community, we are inspired by efforts to find
*Este articulo surge de la motivación que generó un taller para periodistas de Latinoamérica, cuyo tema central fue hablar de la Infodemia y principalmente responder a la pregunta ¿Cómo interpretar los datos de una pandemia? Dada la coyuntura de la pandemia que ha afectado a todos los países y
We've set up a Covid-19 task force to support you during this crisis. We offer free consultations and can provide recommendations.
Antes de marzo, los líderes de las empresas vivíamos nuestra vida más o menos normal, yendo a las oficinas y tratando de hacer nuestras labores lo mejor posible, aunque ya atentos a lo que podría ocurrir con el COVID-19, a las medidas que los gobiernos tomarían y a las alteraciones
The UK’s Royal College of Nursing says that workplace stress is often cited in compensation claims, and frequently associated with inadequate staffing levels.
Nos primeiros dias e semanas de qualquer problema de saúde global generalizado, particularmente num surto de rápida evolução como o coronavírus, existem muitas incógnitas. A visualização de dados pode ser um bom ponto de partida para perceber tendências e transformar dados dispersos em algo útil. A capacidade de visualizar a
Now that COVID-19 is spreading in the US, I thought it might be helpful to view the data at a more granular level. Follow along as I plot the county data on a map and discuss how the color-binning can influence people's perception of the data. Maps like this can
2019년 12월, 중국을 시작으로 발생한 코로나바이러스감염증-19(COVID-19)가 전 세계로 확산되며 190개 국가에서 32만명이 넘는 확진 환자가 발생했습니다. (2020년 3월 23일 기준) 세계보건기구(WHO)는 3월 11일 감염 확산세가 지속되자 홍콩독감(1968), 신종플루(2009)에 이어 사상 세 번째로 코로나19에 대해 팬데믹(pandemic; 세계적 대유행)을 선포했는데요. 한국 역시 지난 2월 23일 코로나19 대응 수준이 ‘심각’ 단계로 격상되며 확진자가
인류의 건강을 위협하는 문제, 특히 코로나바이러스(COVID-19)처럼 빠르게 전파되는 질병이 확산되는 초기 단계에는 예상할 수 없는 많은 변수들이 존재합니다. 이러한 단계에서 데이터 시각화를 활용하면 빠르게 추세를 파악하고 단편적인 데이터들로부터 유의미한 결과를 도출할 수 있습니다. 바이러스 경로 시각화는 사람들에게 경각심을 일깨우고 바이러스의 영향력을 알림으로써, 궁극적으로 질병 예방 활동에 도움이 될 수 있을
Everyone's thinking about the Coronavirus Disease 2019 (COVID-19), and wondering if there are any cases near where they live. I recently used SAS Software to create a dashboard with a world map showing which countries had reported cases. And now that the virus has spread around the world, a world/country-level
In the early days and weeks of any widespread global health concern, particularly in a fast-moving outbreak like the coronavirus, there are many unknowns. Data visualization can be a good starting point to understand trends and piece data points together into a meaningful story. The ability to visualize the spread
Let’s face it. Data sharing between platforms in health care just isn’t easy. Patient data privacy concerns, incompatible file formats, asynchronous identifiers … I’ve heard it all. From the electronic health record (EHR), picture archiving and communication systems (PACS) to discrete processes like pharmacy or departmental information systems, achieving some
Do you wish you could predict the likelihood that one of your customers will open your marketing email? Or what if you could tell whether a new medical treatment for a patient will have a better outcome than the standard treatment? If you are familiar with propensity modeling, then you
El coronavirus ha sido un tema importante en las noticias últimamente: es una enfermedad similar a la neumonía que ha cobrado la vida de varias personas. Se cree que comenzó en China y se ha extendido a varios otros países, por lo que debemos estar preparados en caso de que
El mundo se está transformando y con él todos los mercados. La Tecnología Analítica, La Inteligencia Artificial, el Internet de las Cosas y la Cuarta Revolución Industrial son temas que conforman la Transformación Digital de las empresas y tienen la capacidad de mejorar el desempeño y los procesos de
The COVID-19 Coronavirus outbreak has been in the news a lot lately, and everyone is probably looking for a quick/easy way to see the data. The best visualization I've seen so far is this dashboard by Johns Hopkins. Here's a screen-capture: But before we dive into the data analysis, let's
The coronavirus has been a big item in the news lately - it's a pneumonia-like illness that has killed several people. It's thought to have started in China, and has spread to several other countries (including at least one case in the U.S.). The World Health Organization says the coronavirus
