Saturday, March 6, 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

Machine learning can help predict future diabetes patients

April 1, 2020
in Machine Learning
Machine learning-guided virtual reality simulators can be powerful tools in surgeon training
588
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Reviewed by Emily Henderson, B.Sc.Mar 31 2020

A type of artificial intelligence called machine learning can help predict which patients will develop diabetes, according to an ENDO 2020 abstract that will be published in a special supplemental section of the Journal of the Endocrine Society.

You might also like

Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit

Reducing Blind Spots in Cybersecurity: 3 Ways Machine Learning Can Help

Explainable Machine Learning, Model Transparency, and the Right to Explanation « Machine Learning Times

Diabetes is linked to increased risks of severe health problems, including heart disease and cancer. Preventing diabetes is essential to reduce the risk of illness and death. “Currently we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,” said lead author Akihiro Nomura, M.D., Ph.D., of the Kanazawa University Graduate School of Medical Sciences in Kanazawa, Japan.

The researchers investigated the use of a type of artificial intelligence called machine learning in diagnosing diabetes. Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Machine learning is a type of AI that enables computers to learn without being explicitly programmed. With each exposure to new data, a machine-learning algorithm grows increasingly better at recognizing patterns over time.

Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores. In addition, the rate of visits to healthcare providers might be improved to prevent future onset of diabetes.”


Akihiro Nomura, M.D., Ph.D., of the Kanazawa University Graduate School of Medical Sciences in Kanazawa, Japan

Nomura and colleagues analyzed 509,153 nationwide annual health checkup records from 139,225 participants from 2008 to 2018 in the city of Kanazawa. Among them, 65,505 participants without diabetes were included.

The data included physical exams, blood and urine tests and participant questionnaires. Patients without diabetes at the beginning of the study who underwent more than two annual health checkups during this period were included. New cases of diabetes were recorded during patients’ checkups.

The researchers identified a total of 4,696 new diabetes patients (7.2%) in the study period. Their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9%.

Nomura says he next plans to perform clinical trials to assess the effectiveness of using statins to treat groups of patients identified by the machine learning model as being at high risk of developing diabetes.


Credit: Google News

Previous Post

How We Can Use Social Media To Predict COVID Contact Tracing

Next Post

Master privacy management to deliver business outcomes alongside compliance

Related Posts

Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit
Machine Learning

Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit

March 6, 2021
Machine learning the news for better macroeconomic forecasting
Machine Learning

Reducing Blind Spots in Cybersecurity: 3 Ways Machine Learning Can Help

March 6, 2021
The ML Times Is Growing – A Letter from the New Editor in Chief – Machine Learning Times
Machine Learning

Explainable Machine Learning, Model Transparency, and the Right to Explanation « Machine Learning Times

March 5, 2021
How to Boost Machine Learning in Healthcare Market Compound Annual Growth Rate (CAGR)? – KSU
Machine Learning

How to Boost Machine Learning in Healthcare Market Compound Annual Growth Rate (CAGR)? – KSU

March 5, 2021
Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
Next Post
Employee safety is for sale

Master privacy management to deliver business outcomes alongside compliance

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

These two unusual versions of ransomware tell us a lot about how attacks are evolving
Internet Security

These two unusual versions of ransomware tell us a lot about how attacks are evolving

March 6, 2021
Researchers Find 3 New Malware Strains Used by SolarWinds Hackers
Internet Privacy

Researchers Find 3 New Malware Strains Used by SolarWinds Hackers

March 6, 2021
Analysis: The increasing scope of UK cryptocurrency regulation
Blockchain

Analysis: The increasing scope of UK cryptocurrency regulation

March 6, 2021
Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit
Machine Learning

Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit

March 6, 2021
Labeling Service Case Study — Video Annotation — License Plate Recognition | by ByteBridge | Feb, 2021
Neural Networks

Labeling Service Case Study — Video Annotation — License Plate Recognition | by ByteBridge | Feb, 2021

March 6, 2021
Microsoft: We’ve found three more pieces of malware used by the SolarWinds attackers
Internet Security

Microsoft: We’ve found three more pieces of malware used by the SolarWinds attackers

March 6, 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?

  • These two unusual versions of ransomware tell us a lot about how attacks are evolving March 6, 2021
  • Researchers Find 3 New Malware Strains Used by SolarWinds Hackers March 6, 2021
  • Analysis: The increasing scope of UK cryptocurrency regulation March 6, 2021
  • Will AI Replace Lawyers & Other Myths: Legal AI Mythbusters | Onit March 6, 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