natural language processing (NLP)

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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.

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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...

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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 »

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.

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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.

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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.

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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...

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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.

VA Researching Natural Language Processing In EHRs To Prevent Suicide

Ashley Gold | Fierce HealthIT | September 12, 2013

The U.S. Department of Veterans affairs is researching the use of natural language processing within its electronic health records system to automate suicide risk alerts.

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Why Electronic Health Records Aren't More Usable

Ken Terry | CIO | December 3, 2015

Federal government incentives worth about $30 billion have persuaded the majority of physicians and hospitals to adopt electronic health record (EHR) systems over the past few years. However, most physicians do not find EHRs easy to use. Physicians often have difficulty entering structured data in EHRs, especially during patient encounters. The records are hard to read because they're full of irrelevant boilerplates generated by the software and lack individualized information about the patient...

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Why the Touchstone Project is so important to HL7 FHIR

The AEGIS Touchstone Test Platform, launched at the most recent HL7 FHIR Connectathon in Atlanta, Georgia in October 2015, provides the means to help guide FHIR implementations toward a high degree of conformance and interoperability within a continuous testing and integration model. As stated by HL7 CEO Charles Jaffe, MD, PhD, “A successful testing program also provides FHIR development teams at HL7 with the essential infrastructure that is critical for all of our stakeholders."

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