natural language processing (NLP)

See the following -

12 Open Source Tools for Natural Language Processing

Natural language processing (NLP), the technology that powers all the chatbots, voice assistants, predictive text, and other speech/text applications that permeate our lives, has evolved significantly in the last few years. There are a wide variety of open source NLP tools out there, so I decided to survey the landscape to help you plan your next voice- or text-based application. For this review, I focused on tools that use languages I'm familiar with, even though I'm not familiar with all the tools. (I didn't find a great selection of tools in the languages I'm not familiar with anyway.) That said, I excluded tools in three languages I am familiar with, for various reasons.

Read More »

5 Open Source Natural Language Processing Tools

Open source is chock full of high-quality libraries to solve common problems in text processing like sentiment analysis, topic identification, automatic labeling of content, and more. More importantly, open source also provides many building block libraries that make it easy for you to innovate without having to reinvent the wheel. If all of this stuff is giving you flashbacks to your high school grammar classes, not to worry—we've included some useful resources at the end to brush up your knowledge as well as explain some of the key concepts around natural language processing (NLP). To begin your journey, check out these projects...

Read More »

Apache cTAKES natural-language-processing (NLP) system

Darryl Taft | eWeek | April 9, 2013

On April 9, it was announced that Apache cTAKES (clinical Text Analysis and Knowledge Extraction System) graduated from the Apache Incubator to become a top-level project (TLP). Apache cTAKES is an open-source natural-language-processing (NLP) system for information extraction from electronic medical record clinical free-text. Widely used in production by numerous organizations across the health care sector... Read More »

Get Smart, Integrate Artificial Intelligence into Your Business, Sooner

We've moved from the Computer Information Age to the "Digital Data Artificial Intelligence Age." It's the 4th Industrial Revolution. Just as computers transformed business processes and created the need for an "Information Technology Strategy." Today an integrated enterprise "Business - IT - Big Data - AI Strategy" is essential to lower costs and expand markets through differentiated products and services. The Artificial Intelligence strategy is not an add-on. It needs to be a core element of your enterprise strategic plan in 2019 and beyond!

Read More »

Halamka's 2016 Predictions for Health IT

As the year ends and we archive the accomplishments and challenges of 2015, it’s time to think about the year ahead.  Will innovative products and services be social, mobile, analytics, and cloud (SMAC)?  Will wearables take off?  Will clinicians be replaced by Watson?   Here are my predictions...Apps will layer on top of transactional systems empowered by FHIR...a better approach is crowdsourcing among clinicians that will result in value-added apps that connect to underlying EHRs via the protocols suggested in the Argonaut Project (FHIR/OAuth/REST). One of our clinicians has already authored a vendor neutral DICOM viewer for images, a patient controlled telehealth app for connecting home devices, and a secure clinical photography upload that bypasses the iPhone camera roll. That’s the future.

Read More »

How DoD Plans to Leverage Artificial Intelligence and Open Source to Improve Emergency Response and Disaster Relief

Some might not know it, but the US military plays a key role in US disaster response strategy and, accordingly, the Department of Defense (DoD) has prioritized its disaster response mission and is investing heavily towards increasing its capabilities and effectiveness. Technology is a big part of all modern DoD missions, and disaster response is no different. The most promising and transformative technology on the horizon for our future, and for the future of the DoD, is Artificial Intelligence (AI). So how exactly will the DoD leverage Artificial Intelligence technologies in order to meet the demands of the disaster response mission? Is a new Center of Excellence created by DoD, called the Joint Artificial Intelligence Center (JAIC). Read More »

IBM Aims to Prevent Readmissions with Watson-Based Analytics Solution

Ken Terry | Fierce Health IT | November 1, 2011

In its latest foray into healthcare, IBM has produced a solution that uses its natural language processing (NLP) technology to improve the quality of care and reduce costs. The NLP approach is the same as the one that the IBM Watson supercomputer used to defeat human contestants on the "Jeopardy" TV game show. Read More »

IBM Expands U.S. Federal Healthcare Practice

Darryl K. Taft | eWeek | April 27, 2014

IBM announced it will be using its big data and Watson cognitive computing technology in its federal health care practice.

Read More »

IBM Expands US Federal Healthcare Practice

Press Release | IBM | April 24, 2014

IBM today announced new investments in its US Federal Healthcare Practice to address the rapidly growing technology needs of public sector health institutions. The company added big data solutions for advanced clinical care from its IBM Watson Group, new collaborations with IBM Research focused on data management and an expansion of the team with the naming of a Chief Medical Information Officer for IBM’s US Federal practice.

Read More »

Medal Unveils Platform to Pioneer the Creation of a Unified, Contextual Record of Health

Press Release | Medal, Inc. | February 11, 2019

Medal Inc. today announced the debut of its platform that can extract, transform and use the vast and fragmented information that exists about patients - and present it to healthcare providers in a timely and meaningful way. Health data is only purposeful when it is accessible and contextual. Medal developed a complete system for extracting medical information from every possible source where data is trapped: fax, printed paper, health information exchange data, and from EMRs. Machine learning and Natural Language Processing (NLP) match more than 300 medical attributes to each word of unstructured text, allowing clinicians to more easily gain access to critical data that could save a patient's life.

Read More »

Q&A: Unstructured Clinical Notes Just As Valuable For Analytics

Jennifer Bresnick | HealthITAnalytics | October 10, 2013

While much has been made of the need to standardize clinical data with EHRs that use templates, click boxes, and dropdowns to funnel information into pre-determined data elements, the need for such strict organization may not be top priority for long. [...] Read More »

Sequencing, cloud computing, and analytics meet around genetics and pharma Bio-IT World Shows What is Possible and What Is Being Accomplished

Bio-IT World shows what is possible and what is being accomplished...last week I took the subway downtown and crossed the two wind- and rain-whipped bridges that the city of Boston built to connect to the World Trade Center. I mingled for a day with attendees and exhibitors to find what data-related challenges they’re facing and what the latest solutions are. Here are some of the major themes I turned up...

Read More »

The Apache Software Foundation Announces Apache cTAKES™ As A Top-Level Project

Press Release | The Apache Software Foundation (ASF) | April 9, 2013

The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of nearly 150 Open Source projects and initiatives, today announced that Apache cTAKES has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the Project's community and products have been well-governed under the ASF's meritocratic process and principles. Read More »

The State of Open Source in South Korea

Open source software is growing exponentially all around the world, and South Korea is a vital part of that trend. While most South Korean open source projects don't get the international attention that projects from the Apache Foundation, the Linux Foundation, and similar organizations receive, they are making significant contributions to mobility, artificial intelligence, web technologies, and other areas. Samsung may be the best-known South Korean company working in open source, but Naver, Kakao, Coupang, and others are also writing important open source software and maintaining their projects on GitHub.

Transforming Health Care Through A 360-Degree View Of Data

How medical care can be substantially improved through a full spectrum view of all factors that affect health was the topic of Payam Etminani's presentation at the 2019 IDGA Veterans Benefits Conference in Washington D.C. Etminani, the CEO of Bitscopic, argued that the ability to view all health data including social, environmental and genomic information in addition to the traditional clinical measures (vital signs, blood work, history of illness etc), would lead to significant improvement in care. Etminani described how recent advances in Big Data and Artificial Intelligence (AI) make combining and using these large and widely varied sets of information possible. Read More »