machine learning

See the following -

Apixio Illuminates The Pain of Recording Patient Risk Factors (Part 1)

Andy Oram | EMR & HIPPA | October 27, 2016

Many of us strain against the bonds of tradition in our workplace, harboring a secret dream that the industry could start afresh, streamlined and free of hampering traditions. But history weighs on nearly every field, including my own (publishing) and the one I cover in this blog (health care). Applying technology in such a field often involves the legerdemain of extracting new value from the imperfect records and processes with deep roots. Along these lines, when Apixio aimed machine learning and data analytics at health care, they unveiled a business model based on measuring risk more accurately so that Medicare Advantage payments to health care payers and providers reflect their patient populations more appropriately...

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A Tour of Google's 2016 Open Source Releases

Open source software enables Google to build things quickly and efficiently without reinventing the wheel, allowing us to focus on solving new problems. We stand on the shoulders of giants, and we know it. This is why we support open source and make it easy for Googlers to release the projects they're working on internally as open source. We've released more than 20-million lines of open source code to date, including projects such as Android, Angular, Chromium, Kubernetes, and TensorFlow. Our releases also include many projects you may not be familiar with, such as Cartographer, Omnitone, and Yeoman...

Black Duck Forms Security Advisory Board, Adds Research and Data-Mining Group

Press Release | Black Duck | May 5, 2016

Black Duck...today announced strategic initiatives to add security expertise and strengthen its research and innovation capabilities. The company has created a five-member Security Advisory Board comprising experienced security executives, and has launched Black Duck Research, a Vancouver-based, applied-research group focused on data mining, machine learning, natural language processing, big data management and analytics, and software quality...

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Can Data Provide the Trust we Need in Health Care?

One of the problems dragging down the US health care system is that nobody trusts one another. Most of us, as individuals, place faith in our personal health care providers, which may or may not be warranted. But on a larger scale we’re all suspicious of each other... Read More »

Christine Doig on Data Science as a Team Discipline

Srini Penchikala | Info Q | August 26, 2016

Data science is about the design and development of solutions to extract insights from data (structured and unstructured) using machine learning and predictive analytics techniques and tools. Data Science as a discipline and Data Scientist as a role have been getting lots of attention in the recent years to solve real world problems with solutions ranging from fraud detection to recommendation engines. Christine Doig, Senior Data Scientist at Continuum Analytics, spoke at this year’s OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem.

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Cloudera Unveils Open Source Workbench to Accelerate Data Science and Machine Learning

Press Release | Cloudera | May 1, 2017

Cloudera, Inc., the provider of the leading modern platform for machine learning and advanced analytics built on the latest open source technologies, announced the general availability of the Cloudera Data Science Workbench, its self-service tool for data scientists. The workbench, announced in beta at Strata+Hadoop World San Jose 2017, enables fast, easy and secure self-service data science for the enterprise. "We are entering the golden age of machine learning and it's all about the data. However, data scientists continue to struggle to build and test new analytics projects as fast as they would like, particularly in large scale environments," said Charles Zedlewski, senior vice president, Products at Cloudera.

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Coopetition: All's Fair in Love and Open Source

PostgreSQL vs. MySQL. MongoDB vs. Cassandra. Solr vs. Elasticsearch. ReactJS vs. AngularJS. If you have an open source project that you are passionate about, chances are a competing project exists and is doing similar things, with users as passionate as yours. Despite the "we're all happily sharing our code" vibe that many individuals in open source love to project, open source business, like any other, is filled with competition. Unlike other business models, however, open source presents unique challenges and opportunities when it comes to competition...

Data Crisis: Who Owns Your Medical Records?

Eric Topol | San Diego Magazine | September 23, 2016

We’ve all encountered issues with our medical records. Whether getting a copy for a second opinion, finding major mistakes, or changing health care providers, our access to this important set of data has been fraught with difficulties. But that’s in the past tense—it’s getting worse. Sadly, your medical records are the property of hospitals, doctors, and health systems. Except in New Hampshire, where ownership rights are assigned to the patient, no other states recognize the individual’s right of control and ownership of their medical data...

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Does Google Glass Have a Place in the Operating Room?

Neil Versel | US News and World Report | June 3, 2014

Hospitals are finding innovative ways of adapting the head-mounted computer to healthcare environments. Read More »

Does Healthcare Need More Programmers? Or, More MacGyvers?

Health care is full of black boxes.  As much as we think we've learned about the human body over the last hundred years, we're still constantly reminded about how little we actually understand its working (e.g., the microbiome). As much time and money we spend training physicians, much of how they diagnose and design treatments for patients remain a mystery.  And does anyone know why we always have to fill out so many damn forms? The many organizations working on applying AI to health care are trying to figure out some of these black boxes, although their solutions may come at the price of new black boxes.  I hope, though, that we don't just turn things over to AI.  We still need people to figure out the problems.

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Four Lessons In The Adoption Of Machine Learning In Health Care

Ernest Sohn, Joachim Roski, Steven Escaravage, and Kevin Maloy | Health Affairs | May 9, 2017

The March issue of Health Affairs demonstrates the potential of health care delivery system innovation to improve value for both patients and clinicians. Technology innovations such as machine learning and artificial intelligence systems are promising breakthroughs to improve diagnostic accuracy, tailor treatments, and even eventually replace work performed by clinicians, especially that of radiologists and pathologists. Machine-learning systems infer patterns, relationships, and rules directly from large volumes of data in ways that can far exceed human cognitive capacities...

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Google Open-Sources The Machine Learning Tech Behind Google Photos Search, Smart Reply And More

Sarah Perez | TechCrunch | November 9, 2015

Google says today it’s making the machine learning technology that powers a number of its products, including Google Photos search, speech recognition in the Google app, and the newly launched “Smart Reply” feature for its email app Inbox. Called TensorFlow, the technology helps makes apps smarter, and Google says it’s far more powerful than its first-generation system – allowing the company to build and train neural nets up to five times faster than before.

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Halamka Gears Up for HIMSS 2017

Next week, 50,000 of our closest friends will gather together in Orlando to learn about the latest trends in the healthcare IT industry. I’ll be giving a few keynote addresses, trying to predict what the Trump administration will bring, identify those technologies that will move from hype to reality, and highlighting which products are only “compiled” in Powerpoint - a powerful development language that is really easy to modify! The Trump administration is likely to reduce regulatory burden but is unlikely to radically change the course of value-based purchasing. This means that interoperability, analytics, and workflow products that help improve outcomes while reducing costs will still be important...

Halamka Sets Healthcare Innovation Priorities for 2017

As we begin 2017, what should be the focus of our work over the next year?... Regardless of the policies, repeals, and delays of the Trump administration, we’ll still need to optimize usability and support the four goals of value-based purchasing - quality measurement, total medical expense management, practice process improvement and technology adoption. BIDMC has already created a prototype of groupware documentation and we should complete our next generation inpatient documentation solution by mid 2017. Part of that work incorporates open source secure texting as part of the medical record. We’re also piloting Google’s G-suite so that our stakeholders can store/share, collaborate, and communicate on any device from anywhere using only a browser...

Halamka's Dispatch from HIMSS 2017

As I wrote last week, I expected 2017 HIMSS to be filled with Wearables, Big Data, Social Networking concepts from other industries, Telemedicine, and Artificial Intelligence. I was not disappointed. 42,000 of my closest friends each walked an average of 5 miles per day through the Orlando Convention Center. One journalist told me “It’s overwhelming. You do your best to look professional and wear comfy shoes!” After 50 meetings, and 12 meals in 3 days, here’s my impression of the experience...