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

SURVEY: Cognitive Impairment II

Top 3 Nutrients to Detox the Liver and Soothe Digestion

Natural Bladder Control, Go Less and Live More

Top Vitamin and Mineral Deficiencies — Are You at Risk?

Vital Molecule Increases Cellular Energy and Improves Cognitive Function

Omega Fix for Obesity: How the Right Fats Fight Fat

How Pomegranate May Protect Against Cancer

Trimming the spare tire: Canola oil may cut belly fat

The Onion: Cancer Fighter and Food Preserver

Safely Reduce a Common Cause of Stomach Distress

 
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
Ultra ATP+, Double Strength Mitochondria Ignite™ with NT Factor® Vitamin D3 Extreme™


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
 
Natural Pain Relief Supplements

Featured Products

Ultra ATP+, Double Strength Ultra ATP+, Double Strength
Get energized with malic acid & magnesium
Mitochondria Ignite™ with NT Factor® Mitochondria Ignite™ with NT Factor®
Reduce Fatigue up to 45%
FibroSleep™ FibroSleep™
The All-in-One Natural Sleep Aid
Optimized Curcumin Longvida® Optimized Curcumin Longvida®
Supports Cognition, Memory & Overall Health
Ultra EPA  - Fish Oil Ultra EPA - Fish Oil
Ultra concentrated source of essential fish oils

Natural Remedies

Help for Soreness and Swelling: What Do Silkworms Have to Do With It? Help for Soreness and Swelling: What Do Silkworms Have to Do With It?
Vitamin E: Super Antioxidant We Only Thought We Knew Vitamin E: Super Antioxidant We Only Thought We Knew
Fatigue & Fibro Fog: Could You Have a B-12 Deficiency? Fatigue & Fibro Fog: Could You Have a B-12 Deficiency?
How to Jump-start and Sustain Energy Production in CFS How to Jump-start and Sustain Energy Production in CFS
Fighting Fatigue with Ground-breaking French Oak Wood Extract Fighting Fatigue with Ground-breaking French Oak Wood Extract

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

· Become a Wholesaler
· Vendor Inquiries
· Affiliate Program
SHOP WITH CONFIDENCE
Credit Card Processing
SUBSCRIBE TO OUR NEWSLETTERS
Get the latest news about Fibromyalgia, M.E/Chronic Fatigue Syndrome, Lyme Disease and Natural Wellness

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