Activate Now
 
ProHealth health Vitamin and Natural Supplement Store and Health
Home  |  Log In  |  My Account  |  View Cart  View Your ProHealth Vitamin and Supplement Shopping Cart
800-366-6056  |  Contact Us  |  Help
Facebook Google Plus
Fibromyalgia  Chronic Fatigue Syndrome & M.E.  Lyme Disease  Natural Wellness  Supplement News  Forums  Our Story
Store     Brands   |   A-Z Index   |   Best Sellers   |   New Products   |   Deals & Specials   |   Under $10   |   SmartSavings Club

Trending News

Acupuncture used in clinical settings reduced symptoms of menopause

Benefits of Coconut Oil Are Undeniable

How Awesome Is Ashwagandha?

SURVEY RESULTS: Should Opioids Be Restricted for Chronic Illness?

CoQ10 supplementation associated with lower pro-inflammatory factors in randomized trial

Clinical trial demonstrates success of low FODMAP diet

Research Demonstrates Superiority of Krill Oil Compared to Fish Oil

Vitamin nicotinamide riboside protects mice from diabetes complications

What’s so Remarkable About Rosemary?

Vitamin-mineral supplement prevents brain cell loss in recent research

 
Print Page
Email Article

Identifying Defining Aspects of Chronic Fatigue Syndrome

  [ 8 votes ]   [ 1 Comment ]
By Samuel P. Watson et al. • www.ProHealth.com • February 9, 2014


Note: You can read the full text of this study HERE.

Editor's Comment: This is a highly technical study which may prove challenging for a lay audience. However, the implications are profound.This research group has applied a computer algorithm used for data mining and clustering in order to sort symptoms of ME/CFS by frequency and severity.The method used to gather information was the DePaul Symptom Questionnaire (DSQ), developed by Leonard Jason.The study found that 11 symptoms relating to fatigue, post-exertional malaise, sleep dysfunction, neurocognitive problems, and general pain were highly predictive of ME/CFS.
 "This indicates that fatigue, post-exertional malaise, and neurocognitive disorders are the most predictive symptom categories of CFS," concluded the authors. "As such, a CFS case definition should place particular emphasis on these factors." What is most significant about this study is that not only was the application of the algorithm to the DSQ more accurate as a diagnostic tool than any existing case definition, it can be used by any researcher to identify a patient cohort.
 

Identifying Defining Aspects of Chronic Fatigue Syndrome via Unsupervised Machine Learning and Feature Selection
 
By Samuel P. Watson at al.
 
Abstract

In this work we propose an unsupervised machine learning method of predicting chronic fatigue syndrome (CFS) based on the k-means algorithm using self-reported questionnaire responses.

We first suggest a method of determining the presence of a symptom based on its frequency and severity using an unsupervised dynamic thresholding approach. This threshold is used to diagnose subjects with 54 symptoms related to CFS.

Based on these diagnoses, k-means is used to predict the presence of CFS. We find that k-means does not have significantly worse predictive diagnostic accuracy than commonly used CFS case definitions.

After applying supervised feature selection, k-means achieves significantly better diagnostic accuracy than any of the case definitions examined. We use these results to suggest the basis for an empirically founded CFS case definition.
 
Source: Samuel P. Watson, Amy S. Ruskin, Valerie Simonis, Leonard A. Jason, Madison Sunnquist, and Jacob D. Furst, "Identifying Defining Aspects of Chronic Fatigue Syndrome via Unsupervised Machine Learning and Feature Selection," International Journal of Machine Learning and Computing vol.4, no. 2, pp. 133-138, 2014.

Authors:
S. P. Watson is with the Carleton College, Northfield, MN 55057 USA (e-mail: watsons@carleton.edu).
A. S. Ruskin is with Pomona College, Claremont, CA 91711 USA (e-mail: asr02010@pomona.edu).
J. D. Furst and V. Simonis are with the College of Computing and Digital Media, DePaul University, Chicago, IL 60604 USA.
L.A. Jason and M. Sunnquist are with the College of Science and Health, DePaul University, Chicago, IL 60614 USA.





Post a Comment

Featured Products From the ProHealth Store
Optimized Curcumin Longvida® Vitamin D3 Extreme™ Energy NADH™ 12.5mg

Looking for Vitamins, Herbs and Supplements?
Search the ProHealth Store for Hundreds of Natural Health Products


Article Comments Post a Comment

Useful
Posted by: IanH
Feb 9, 2014
All symptoms are identified by questions. I would like to examine the questions used to elucidate the symptoms. Computer analysis/informatics depends heavily on the question structure.

Questions cause subjective weighting which must be tested for in the analysis. The fact that pain is so low in the list and occurs in only one construct suggests to me that there may be a bias away from pain. Considering that at least 42% of people fitting the Canadian criteria will also fit the criteria for fibromyalgia there is much more pain than this analysis shows.

Otherwise great. Thanks.
Reply Reply
 
All Natural Deodorants

Featured Products

Optimized Curcumin Longvida® Optimized Curcumin Longvida®
Supports Cognition, Memory & Overall Health
Energy NADH™ 12.5mg Energy NADH™ 12.5mg
Improve Energy & Cognitive Function
Mitochondria Ignite™ with NT Factor® Mitochondria Ignite™ with NT Factor®
Reduce Fatigue up to 45%
Vitamin D3 Extreme™ Vitamin D3 Extreme™
50,000 IU Vitamin D3 - Prescription Strength
Ultra ATP+, Double Strength Ultra ATP+, Double Strength
Get energized with malic acid & magnesium

Natural Remedies

Thyroid Health and Fibromyalgia Thyroid Health and Fibromyalgia
Itching to Find Dry Skin Relief? Itching to Find Dry Skin Relief?
Rejuvenating the Brain - How PQQ Helps Power Up Mental Processing Rejuvenating the Brain - How PQQ Helps Power Up Mental Processing
Aches and Pains? A Simple Solution You'll Love Aches and Pains? A Simple Solution You'll Love
Secret Nutrient for Radiant Skin Secret Nutrient for Radiant Skin

CONTACT US
ProHealth, Inc.
555 Maple Ave
Carpinteria, CA 93013
(800) 366-6056  |  Email

· Become a Wholesaler

· Affiliate Program
SHOP WITH CONFIDENCE
Credit Card Processing
SUBSCRIBE AND SAVE 15% NOW*
Be the first to know about new products, special discounts and the latest health news. *New subscribers only

CONNECT WITH US ProHealth on Facebook  ProHealth on Twitter  ProHealth on Pinterest  ProHealth on Google Plus

© 2016 ProHealth, Inc. All rights reserved. Store  |  Customer Service  |  Guarantee  |  Privacy  |  Contact Us  |  Library  |  RSS  |  Site Map