This is the third post describing a computer vision project I worked on at SAS to identify liver tumors in CT scans. In my previous post I talked about testing different models and hyperparameters for the models. Today, I’ll talk about data processing for image data. If you need to
I have written several blog posts about longevity, and here is another one related to that topic. Cardiovascular disease (cvd) is one of the more common causes of death, and I was wondering how those numbers have changed over time. Are fewer people dying from cvd, or are more people
Data-driven is a buzzword again. It feels new and shiny but has been around for years. Yet, people still ask what it means to be data-driven. If you wonder why it’s important to be data-driven, you might ask your bookie. Yes, I said your bookie. In thinking about when I
This is the second post in my series about a computer vision project I worked on at SAS. In my previous post, I talked about my initial research and excitement for the project. In this post, I’ll talk about how I refined my goals and got started with the project
This episode covers one of the greatest challenges in Dutch data science: how to distribute €43 billion (no, that’s not a typo) among all Dutch health care insurers in a fair, equal and transparent way. To learn more, I visited the biggest health insurer of the country, Zilveren Kruis, and
During each minute you spend reading this article, 18 people will die of cancer. With each tick of the clock, your odds of becoming one of them increases: age is one of the primary risk factors for cancer. Take Nancy. She is a normal, active, healthy woman. Inside her body
Each day, more than 130 Americans die from opioid overdoses. Combating the opioid epidemic begins with understanding it, and that begins with data. SAS recently partnered with graduate students from Carnegie Mellon University (CMU) 's Heinz College of Information Systems and Public Policy to understand how data mining and machine
Recently, I was given an amazing opportunity to work on a project in biomedical image analytics in collaboration with a large university medical center. The goal of the project was to develop a computer vision system that identifies tumors in CT scans of livers. I have always loved applying technology
One of the key health trends we’ll continue to follow in 2019 is the flood of medical and personal data that, if managed and analyzed properly, could help health care organizations provide better care, life sciences companies deliver better therapies and individuals make smarter lifestyle choices. Sounds great, but there
You might have noticed I've been trying out SAS ODS Graphics lately, whereas in the past I mainly used SAS/Graph for my samples. In this blog post I step you through my latest fancy SGplot graph - hopefully you'll learn some tips & techniques, as you follow along. (I don't
“Hoy fue revelado un prototipo de computadora que se espera, sea capaz de hablar, caminar, ver, escribir, reproducirse y ser consciente de su existencia”. Allá por 1958, cuando aun cuando no existía internet y una computadora era algo más pesada que un elefante, el New York Times publicaba un artículo
Many of the buzzy applications of AI in healthcare we hear about involve medical IoT, computer vision for radiology or disease prediction. But the fact is, many health institutions that just aren’t there yet with adoption. With limited budgets and dated systems, can public health agencies tap into the power
The first person to live to 150 has already been born. When I first heard this controversial idea, popularized by biomedical gerontologist Aubrey de Grey of the SENS Research Foundation, it gave me chills. It’s amazing to think we could have 50 more years to spend with loved ones and
The potential for artificial intelligence (AI) and the Internet of Things (IoT) to transform the way health care and therapies are delivered is tremendous. It’s not surprising that the health care and life sciences industries are being flooded with information about how these new technologies will change everything. While it’s
I love my job, but I am not a morning person so I need a bit of inspiration to get out of bed. I’ve been a marketer for more than 15 years, and that inspiration has never been easier to find than since I joined SAS as an industry marketer
El comienzo de un nuevo ciclo, de un nuevo año, implica el establecimiento de una evolución como persona o negocio. El arranque de 2019 es una buena oportunidad para hacer coincidir la tecnología analítica con los propósitos de su negocio. ¿Desea saber lo que le depara el futuro? ¿Encontrarás las
The ODS Graphics software, first released with SAS 9.2, supported creating graphs directly from statistical procedures. Prior to this, very few statistical procedures created graphs on their own, and in most cases creating graphs was a post process or creating the graphs from the saved data using SAS/GRAPH procedures. With
Singer-songwriter David Wilcox kept me out of prison. That’s not a country song gone bad – it’s a real-life experience. Almost two decades ago, I attended a David Wilcox concert in downtown Raleigh, North Carolina. His songs have always hooked my heart, and one in particular caught my attention that
The SAS 9.4M6 software includes a new SGPIE procedure (preproduction) as introduced in the recent article - The SGPIE Procedure. In that article, I described the basic features of the two statements supported in the procedure, the PIE and the DONUT, with some examples. It is my humble opinion that
The opioid epidemic continues to be one of the largest challenges facing the United States. In 2016, more than 42,000 Americans died from opioid overdoses, and that number continues to climb. Recent data shows that more than 130 people die every day in the United States after overdosing on opioids,
I recently read an article that said a school in Asheville, North Carolina had the worst chickenpox outbreak in the state in 2 decades. The article was interesting, and it also let me know I had a hole in my knowledge ... "What?!? - There's a chickenpox vaccine?!?" When I
Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles
A few days back I published an article on including more subject data in a Waterfall graph. This was motivated by the desire from many users to view more data in the same graph, thus avoiding the need to refer to different graphs for the relevant information. In this case,
Teenagers. I have three boys, and two of them are teenagers. 15 year-old Kav is my middle son, and he gave me permission to share his story here. When he was five, Kav was diagnosed with Type I Diabetes, and I'm in awe of how he's accepted this challenging, lifelong
인공지능(AI)이 우리에게 미치는 영향이 나날이 커지면서 일자리를 대체할 것이라는 우려도 높아지고 있습니다. 이를 위해서 인공지능의 윤리 방안과 규제에 대한 논의가 이루어지고, 기업이 알고리즘으로 인해 일자리를 빼앗긴 직원에게 재교육을 제공해야 한다는 목소리가 나오고 있는데요. 하지만 이러한 모든 내용은 인공지능이 미치는 부정적인 면에만 치우쳐 있습니다. 그렇다면 인공지능이 우리의 삶에 주는 혜택으로는 무엇이 있을까요? 인공지능,
Previously, I have written articles on how we could display more subject response data along with the traditional WaterFall graph showing the best "Change from Baseline". This is in response to the desire to see data like treatment duration for each subject in the same graph. Otherwise, investigators have to
Health care is facing an unprecedented need to reform, drive quality and cut costs. Growth in targeted, specific treatments and diagnostic technology, coupled with a rise in people with long-term and multiple chronic conditions, is creating unsustainable demand on the system. To thrive – or even merely survive – health
Artificial intelligence often seems misunderstood, especially in fraud. The same is true of machine learning. One of the amazing things about them is they ask the unasked questions. This occurs as artificial intelligence (AI) and machine learning (ML) go about their daily work. So, what is the unasked question? Too
In my 15+ years working in clinical research, I've not seen significant evolution in the way we do clinical trials and apply advanced analytics to clinical trial data. A personal story demonstrates that a similar problem is at play in health care. Each year my daughter visits the children’s cardiology
I've been recovering for 15 years now, after a lengthy career caring for critically ill patients. Now, I’m part of a team at SAS that’s working to transform health care – and that's important to me because of something that happened when I was an ICU nurse. It changed my
