Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

Wearable Devices, Machine Learning Detect Signs of Stroke

April 19, 2017 - A combination of wearable devices and a machine learning algorithm to interpret a common test for signs of stroke could provide an accurate and reliable way to identify patients with motor pathway damage, finds a study published this week in the Journal of Medical Internet Research. The stroke classifiers were up to 92 percent accurate for detecting stroke. Researchers from the Yonsei University...


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Wearable Devices, Machine Learning Detect Signs of Stroke

by Jennifer Bresnick

A combination of wearable devices and a machine learning algorithm to interpret a common test for signs of stroke could provide an accurate and reliable way to identify patients with motor pathway damage, finds a study published this week in...

IBM Patents Machine Learning Model for Pharmaceutical Discovery

by Jennifer Bresnick

Machine learning is quickly making inroads across the healthcare industry, from clinical care to pharmaceutical discovery.  The latest development on the journey from big data aggregation to true artificial intelligence comes from IBM Research,...

AI, Machine Learning as a Service Set to Overhaul Healthcare

by Jennifer Bresnick

Relatively few healthcare organizations have the resources or analytics maturity to develop their own intricate big data analytics infrastructure from scratch, but a growing number of vendors are starting to make the daunting and costly process...

IBM Watson Gets SNOMED CT Infusion to Enhance Data Analytics

by Jennifer Bresnick

IBM Watson is continuing its extensive medical education by adopting the SNOMED-CT clinical concept coding system to enhance its machine learning and data analytics.  The partnership between IBM Watson Health and SNOMED International, the...

Top 4 Machine Learning Use Cases for Healthcare Providers

by Jennifer Bresnick

As healthcare providers and vendors start to show off more mature big data analytics skills, machine learning and artificial intelligence have quickly rocketed to the top of the industry’s buzzword list. The possibility of using intelligent...

Machine Learning, NLP Help with Physician Skill Benchmarking

by Jennifer Bresnick

Machine learning and natural language processing (NLP) tools may be able to aid and improve the process of benchmarking the professional skills of physicians, suggests a new article in the Journal of Medical Internet Research. When researchers...

Google’s Machine Learning, Imaging Analytics Flag Breast Cancer

by Jennifer Bresnick

A new approach to imaging analytics driven by machine learning algorithms can identify metastasized breast cancer with sensitivity rates that exceed other automated methods and even rival human pathologists, says a research paper published by...

Blockchain Will “Change the Physics” of Health Data Sharing

by Jennifer Bresnick

More than 40,000 healthcare stakeholders gather at the HIMSS Convention and Exhibition every year to get a good look at some of the most advanced and intriguing health IT tools on offer from hundreds of vendors, big and small, seeking to hawk...

Artificial Intelligence in Healthcare: Augmentation or Companionship?

by Jennifer Bresnick

Every year, the HIMSS Conference and Exhibition acts as a barometer for the health IT industry, reflecting the most promising trends and hottest buzzwords capturing the attention of regulators, developers, providers, and consultants. In 2015,...

IBM Watson Expands Role in Imaging Analytics, Population Health

by Jennifer Bresnick

ORLANDO – IBM Watson is continuing to make its presence felt in the healthcare industry by launching a slew of new machine learning and artificial intelligence initiatives focused on care coordination, advanced imaging analytics, and population...

Microsoft Revs Up Healthcare Artificial Intelligence Projects

by Jennifer Bresnick

Microsoft is getting very serious about bringing artificial intelligence into the healthcare system, launching a brand new research division and several development projects with provider groups and vendor partners. The company, better known...

Machine Learning Predicts Leukemia Remission with 100% Accuracy

by Jennifer Bresnick

Researchers at Indiana University-Purdue University Indianapolis have developed a machine learning algorithm that can correctly predict relapse rates for acute myelogenous leukemia (AML) with 90 percent accuracy – and remission rates 100...

EHR Sample Size Matters in Machine Learning, Predictive Analytics

by Jennifer Bresnick

With a large enough number of electronic health records, machine learning algorithms may be able to develop patient-specific predictive analytics for ICU patients that accurately forecast mortality rates, says a study in JMIR Medical Informatics...

Using Machine Learning to Target Behavioral Health Interventions

by Jennifer Bresnick

Behavioral healthcare has been getting a great deal of attention lately from health IT experts, and not just because of a growing recognition that good mental health is key to improving overall patients outcomes.  Behavioral health is one...

UCSF, Intel Partner for Healthcare AI, Deep Learning Project

by Jennifer Bresnick

The University of California San Francisco and Intel Corporation have partnered to create a deep learning analytics platform that will deliver clinical decision support and predictive analytics capabilities to its users. The platform seeks to...

Challenges of Applying Predictive Analytics to Population Health

by Jennifer Bresnick

Healthcare providers are starting to become very familiar with the notion that data analytics can help to drive more informed clinical decision making, but organizations are largely still struggling to implement and leverage the big data tools...

Bridging the Gap Between Big Data Science, Health IT Usability

by Jennifer Bresnick

The health IT landscape often seems starkly divided between two opposing camps: those who design elegant algorithms and regimented workflows in the idealized sterility of the R&D department, and those whose frenzied, frustrating daily experience...

What Will 2017 Bring for Healthcare Analytics, Interoperability?

by Jennifer Bresnick

After a tumultuous end to 2016, healthcare providers may be looking for a chance to catch their breath before diving back into solving some of the industry’s most intractable problems.  But the growing pressures of interoperability,...

Cleveland Clinic, IBM Watson Partner for Population Health

by Jennifer Bresnick

Cleveland Clinic and IBM Watson have agreed to a five-year collaboration to further their work on data-driven population health management, the two companies announced in a press release.  The project will aim to establish best practices...

Machine Learning-as-a-Service Poised for Healthcare Growth

by Jennifer Bresnick

Healthcare organizations interested in engaging in the world of semantic computing may be able to do with less effort and lower costs as the Machine Learning-as-a-Service (MLaaS) market grows from $480 million in 2015 to nearly $5.4 billion by...

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