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

10 Fibro-Friendly Foods with a Bonus: Beautiful Skin

Studies Show that Magnesium L-threonate Improves Brain Plasticity, Leading to Direct and Significant...

Clary Sage Oil May Be Pricey, but Its Benefits Are Priceless

Pumpkin Pie Turmeric Breakfast Smoothie - Vegan + Gluten-Free

Component of red wine, grapes can help to reduce inflammation, study finds

Poly MVA: A Novel Therapy for Increasing Energy, Repairing DNA, and Promoting Overall Health

Vitamin D supplementation extends life in mouse model of Huntington's disease

Omega-3 fatty acid stops known trigger of lupus

Conquer Your Email Inbox, Increase Productivity and Reduce Stress

The Significance of Selenium

Print Page
Email Article

Identifying Defining Aspects of Chronic Fatigue Syndrome

  [ 8 votes ]   [ 1 Comment ]
By Samuel P. Watson et al. • • 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.

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.

S. P. Watson is with the Carleton College, Northfield, MN 55057 USA (e-mail:
A. S. Ruskin is with Pomona College, Claremont, CA 91711 USA (e-mail:
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
Vitamin D3 Extreme™ Ultra EPA  - Fish Oil Ultra ATP+, Double Strength

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

Article Comments Post a Comment

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
Natural Pain Relief Supplements

Featured Products

FibroSleep™ FibroSleep™
The All-in-One Natural Sleep Aid
Ultra ATP+, Double Strength Ultra ATP+, Double Strength
Get energized with malic acid & magnesium
Optimized Curcumin Longvida® Optimized Curcumin Longvida®
Supports Cognition, Memory & Overall Health
Vitamin D3 Extreme™ Vitamin D3 Extreme™
50,000 IU Vitamin D3 - Prescription Strength
Mitochondria Ignite™ with NT Factor® Mitochondria Ignite™ with NT Factor®
Reduce Fatigue up to 45%

Natural Remedies

Olea25 Olive Hydroxytyrosol Hits Astonishing 68,000+ ORAC Antioxidant Value Olea25 Olive Hydroxytyrosol Hits Astonishing 68,000+ ORAC Antioxidant Value
The Surprising Benefits of Probiotics - What You Didn't Know The Surprising Benefits of Probiotics - What You Didn't Know
The New Dual Activation Pain Relief Cream The New Dual Activation Pain Relief Cream
Thyroid Health and Fibromyalgia Thyroid Health and Fibromyalgia
Priming Your Immune System for Cold & Flu Season Priming Your Immune System for Cold & Flu Season

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

· Become a Wholesaler
· Vendor Inquiries
· Affiliate Program
Credit Card Processing
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. Pain Tracker App  |  Store  |  Customer Service  |  Guarantee  |  Privacy  |  Contact Us  |  Library  |  RSS  |  Site Map