These days talk of Public Health may send a shiver down one’s spine. After over a year of the Coronavirus pandemic, the term almost feels like a buzzword, having overwhelmed, and oversaturated the media for months with no end in sight. Plus, public health is heavily discussed and… Continue
Added by Joydeep Bhattacharya on May 27, 2021 at 3:30am —
by Carl Hoover, Senior Advisor, Elder Research
We observe a peculiar counter-fluctuation in a COVID-19 statistic -- daily percent changes in deaths; it has a downward trend, but Tuesdays tend to see small increases.
Added by Paul Derstine on May 11, 2020 at 6:32am —
Added by Ramesh on April 26, 2020 at 9:28am —
Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order. As this study shows, the best data and the broadest teams failed at critical predictions. Getting the model wrong, or more importantly using it in the wrong way can hurt all of us.
Added by William Vorhies on April 6, 2020 at 2:56pm —
Summary: Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a contribution to getting us out of our homes and back to work.
Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a… Continue
Added by William Vorhies on March 24, 2020 at 8:40am —
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advancements that will propel AI/ML to its next phase of utility.
“The Next Big Thing in AI/ML is…” as the lead to an article is probably the most… Continue
Added by William Vorhies on October 21, 2019 at 9:18am —
Added by Max Ved on May 27, 2019 at 11:02pm —
Summary: The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. These range from cultural differences, to the failure of developers to really understand the environment they are trying to enhance, to regulatory and logical Catch 22s that work against adoption. Part 3 of 3.
Added by William Vorhies on January 21, 2019 at 7:59am —
Summary: Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow. A good portion of this problem is our own fault for failing to see the processes being disrupted through the eyes of the physician users. Here we lay out the healthcare opportunity landscape but for data scientists following classical disruption strategies, it may be more of a minefield. Part 2 of… Continue
Added by William Vorhies on January 14, 2019 at 8:00am —
Summary: If you want to understand the promise of AI/ML in healthcare you need to see it through the eyes of physicians, the ultimate users. Turns out these folks aren’t the rapid adopters you’d think they’d be and the problem is largely with the way data scientists have tried to implement. Part 1 of 3.
Added by William Vorhies on January 7, 2019 at 8:00am —
Given the touting of recent analytic and machine learning results in healthcare, why haven't doctors been replaced by computers yet? The truth is that there are many obstacles that stand in the way of implementing analytics in healthcare. Ethical issues introduced by this technology are also fiercely debated and must be considered. Finally, while obstacles imply a possibility of being overcome, there are also limitations to this technology,… Continue
Added by Vik Kumar on October 13, 2018 at 11:55am —
The most obvious thing for any Health Care Organization (HCO) to do is to develop in-house infrastructure to manage its healthcare data. That’s simpler said than done, though. Setting up an Enterprise-grade data warehouse not only involves additional hires, there’s some amount of capital expenditure as well as operational costs involved.
Here’s what’s needed – an investment in the right personnel and the right…
Added by Hemant Warudkar on September 11, 2018 at 5:00pm —
Congestive heart failure (CHF) has been called an "epidemic" and a "staggering clinical and public health problem" (Roger, 2013). It can be defined as the impaired ability of the ventricle to fill or eject with blood. Consequences include difficulty breathing, coughing fits, leg swelling, decreased quality of life, and ultimately death. As life expectancy increases globally, we can only expect to see this syndrome more frequently. Fortunately, the advents of… Continue
Added by Vik Kumar on August 28, 2018 at 3:17am —
Summary: IBM’s Watson QAM (Question Answering Machine), famous for its 2011 Jeopardy win was supposed to bring huge payoffs in healthcare. Instead both IBM and its Watson Healthcare customers are rapidly paring back these projects that have largely failed to pay off. Watson was the first big out-of-the-box commercial application in ML/AI. Has it become obsolete?
Added by William Vorhies on August 21, 2018 at 10:51am —
Let’s be honest, today “big data” is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recommendation lists on e-commerce sites and targeted ads), high-profile data leaks and privacy issues.
People do not like being a bundle of unsecured big data tied to a bank account. They want to be unique. Yet… Continue
Added by Darren Beauchamp on May 24, 2017 at 5:30am —
I sometimes ask myself while musing over the need for a particular service, "I wonder if this is commercially viable?" If the service is routine and the required software is rather inexpensive, perhaps there is little need for a company to outsource. I cannot think of any company that would routinely outsource work normally performed on a spreadsheet. I suspect that decades ago some companies hired specialists to handle spreadsheets; this seems much less likely today in light of the… Continue
Added by Don Philip Faithful on July 2, 2016 at 7:07am —
What are opioids?
Opioids are medications used to treat moderate to severe pain that may not respond well to other pain medications. They reduce the sending of pain messages to the brain and reduce feelings of pain. They include codeine, fentanyl, hydrocodone, methadone, morphine and oxycodone. Hydrocodone medications are the most commonly prescribed for conditions such as dental and injury-related pain. Morphine is used before and after surgery for severe… Continue
Added by Salil Sheth on June 9, 2016 at 9:07am —
The Affordable Care Act expanded eligibility for the Medicaid program with the hope of enrolling millions of low-income U.S. residents who could not access insurance. California was one of the states that chose to expand. Researchers at the University of California-San Francisco conducted a study that investigated the trends in the association between insurance coverage and usage of emergency departments among adults 18-64 from 2005 through 2010. They found that ED utilization in… Continue
Added by Salil Sheth on June 7, 2016 at 8:34am —
In the healthcare industry, what could be more important than having better healthcare outcomes? Each and every day healthcare workers around the globe are striving hard to find more ways of improving our lives. However, the world is changing, and frankly, at a faster rate than most of us can keep up. Intuition alone will no longer be enough for quality patient outcomes. The amount of healthcare data continues to mound every second, making it harder and harder to find any form of… Continue
Added by Sameer Dhanrajani on May 16, 2016 at 6:05am —
"Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths."
Big data is everywhere and if you are not already embracing it then you are likely to be left behind. Companies are using big data to be able to target potential… Continue
Added by Brian Horvath on May 6, 2016 at 7:41am —