Sunday, February 28, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Study combines two forecasting methods with machine learning to estimate flu activity

January 13, 2019
in Machine Learning
Study combines two forecasting methods with machine learning to estimate flu activity
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: Google News

Influenza is highly contagious and easily spreads as people move about and travel, making tracking and forecasting flu activity a challenge. While the CDC continuously monitors patient visits for flu-like illness in the U.S., this information can lag up to two weeks behind real time. A new study, led by the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital, combines two forecasting methods with machine learning (artificial intelligence) to estimate local flu activity. Results are published today in Nature Communications.

You might also like

Machine Learning May Reduce Mental Health Misdiagnosis

AI & ML Are Not Same. Here's Why – Analytics India Magazine

Is Wattpad and its machine learning tool the future of TV? — Quartz

When the approach, called ARGONet, was applied to flu seasons from September 2014 to May 2017, it made more accurate predictions than the team’s earlier high-performing forecasting approach, ARGO, in more than 75 percent of the states studied. This suggests that ARGONet produces the most accurate estimates of influenza activity available to date, a week ahead of traditional healthcare-based reports, at the state level across the U.S.

“Timely and reliable methodologies for tracking influenza activity across locations can help public health officials mitigate epidemic outbreaks and may improve communication with the public to raise awareness of potential risks,” says Mauricio Santillana, PhD, a CHIP faculty member and the paper’ senior author.

Learning about localized flu patterns

The ARGONet approach uses machine learning and two robust flu detection models. The first model, ARGO (AutoRegression with General Online information), leverages information from electronic health records, flu-related Google searches and historical flu activity in a given location. In the study, ARGO alone outperformed Google Flu Trends, the previous forecasting system that operated from 2008 to 2015.

To improve accuracy, ARGONet adds a second model, which draws on spatial-temporal patterns of flu spread in neighboring areas. “It exploits the fact that the presence of flu in nearby locations may increase the risk of experiencing a disease outbreak at a given location,” explains Santillana, who is also an assistant professor at Harvard Medical School.

The machine learning system was “trained” by feeding it flu predictions from both models as well as actual flu data, helping to reduce errors in the predictions. “The system continuously evaluates the predictive power of each independent method and recalibrates how this information should be used to produce improved flu estimates,” says Santillana.

Precision public health

The investigators believe their approach will set a foundation for “precision public health” in infectious diseases.

“We think our models will become more accurate over time as more online search volumes are collected and as more healthcare providers incorporate cloud-based electronic health records,” says Fred Lu, a CHIP investigator and first author on the paper.

Source:

http://www.childrenshospital.org/


Credit: Google News

Previous Post

Enhancing the simplicity and quality of human-computer interactions

Next Post

Weekly Digest, January 14 - Data Science Central

Related Posts

New AI Machine Learning Reduces Mental Health Misdiagnosis
Machine Learning

Machine Learning May Reduce Mental Health Misdiagnosis

February 28, 2021
AI & ML Are Not Same. Here's Why – Analytics India Magazine
Machine Learning

AI & ML Are Not Same. Here's Why – Analytics India Magazine

February 27, 2021
Is Wattpad and its machine learning tool the future of TV? — Quartz
Machine Learning

Is Wattpad and its machine learning tool the future of TV? — Quartz

February 27, 2021
New AI Machine Learning Reduces Mental Health Misdiagnosis
Machine Learning

New AI Machine Learning Reduces Mental Health Misdiagnosis

February 27, 2021
MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company
Machine Learning

MindMed Closes Acquisition of HealthMode, a Leading Machine Learning Digital Medicine Company

February 27, 2021
Next Post
Weekly Digest, January 14 – Data Science Central

Weekly Digest, January 14 - Data Science Central

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Cybercrime groups are selling their hacking skills. Some countries are buying
Internet Security

Cybercrime groups are selling their hacking skills. Some countries are buying

February 28, 2021
New AI Machine Learning Reduces Mental Health Misdiagnosis
Machine Learning

Machine Learning May Reduce Mental Health Misdiagnosis

February 28, 2021
Why would you ever trust Amazon’s Alexa after this?
Internet Security

Why would you ever trust Amazon’s Alexa after this?

February 28, 2021
AI & ML Are Not Same. Here's Why – Analytics India Magazine
Machine Learning

AI & ML Are Not Same. Here's Why – Analytics India Magazine

February 27, 2021
Microsoft: We’ve open-sourced this tool we used to hunt for code by SolarWinds hackers
Internet Security

Microsoft: We’ve open-sourced this tool we used to hunt for code by SolarWinds hackers

February 27, 2021
Is Wattpad and its machine learning tool the future of TV? — Quartz
Machine Learning

Is Wattpad and its machine learning tool the future of TV? — Quartz

February 27, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Cybercrime groups are selling their hacking skills. Some countries are buying February 28, 2021
  • Machine Learning May Reduce Mental Health Misdiagnosis February 28, 2021
  • Why would you ever trust Amazon’s Alexa after this? February 28, 2021
  • AI & ML Are Not Same. Here's Why – Analytics India Magazine February 27, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates