A Literature Review of Social Media-Based Data Mining for Health Outcomes Research

2019 ◽  
pp. 1-14 ◽  
Author(s):  
Boshu Ru ◽  
Lixia Yao
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Literature Review ◽  
Health Outcomes ◽  
Outcomes Research ◽  
Health Outcomes Research

Enhancing measurement in health outcomes research supported by Agencies within the US Department of Health and Human Services

2007 ◽  
Vol 16 (S1) ◽  
pp. 175-186 ◽  
Author(s):  
Bryce B. Reeve ◽  
Laurie B. Burke ◽  
Yen-pin Chiang ◽  
Steven B. Clauser ◽  
Lisa J. Colpe ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Outcomes Research ◽  
Human Services ◽  
Health And Human Services ◽  
Health Outcomes Research ◽  
Department Of Health ◽  
The Us

scholarly journals Obesity and weight misperception among adults in the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study

2018 ◽  
Vol 4 (4) ◽  
pp. 367-378 ◽  
Author(s):  
S. Hassan ◽  
T. Ojo ◽  
D. Galusha ◽  
J. L. Martinez-Brockman ◽  
O. P. Adams ◽  
...  
Keyword(s):  
Cohort Study ◽  
Health Outcomes ◽  
Outcomes Research ◽  
Research Network ◽  
Health Outcomes Research ◽  
Weight Misperception ◽  
Eastern Caribbean

Health Outcomes Research

2013 ◽  
pp. 924-925
Author(s):  
Sheina Orbell ◽  
Havah Schneider ◽  
Sabrina Esbitt ◽  
Jeffrey S. Gonzalez ◽  
Jeffrey S. Gonzalez ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Outcomes Research ◽  
Health Outcomes Research

Errors and Missing Values in the Dataset

2010 ◽  
pp. 11-18
Author(s):  
Patricia Cerrito ◽  
John Cerrito
Keyword(s):  
Health Outcomes ◽  
Federal Government ◽  
Outcomes Research ◽  
Missing Values ◽  
Health Outcomes Research

Many of the datasets provided by the federal government have been well cleaned. However, like many other datasets collected for health outcomes research, these datasets contain errors and missing values. Both errors and missing values should be accommodated unless they represent less than 5% of the total values in the dataset. If the proportion of missing values is greater, then it is necessary to accommodate them in some way; otherwise, the missing values can impact the outcome of the study. Errors are more difficult to work with because it is not possible to know just what the proportion of errors actually is. In this chapter, we examine both errors and missing values and provide some techniques on how to investigate them.

Health outcomes research study on patients with type 1 Gaucher disease under substrate reduction therapy (SRT)

2017 ◽  
Vol 120 (1-2) ◽  
pp. S94
Author(s):  
Blanca Medrano Engay ◽  
Ana Roy ◽  
Koldo Atutxa ◽  
Vicente Diaz-Morant ◽  
Javier Garcia-Frade ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Outcomes Research ◽  
Gaucher Disease ◽  
Research Study ◽  
Substrate Reduction Therapy ◽  
Health Outcomes Research ◽  
Substrate Reduction ◽  
Type 1 Gaucher Disease

scholarly journals Public involvement in health outcomes research: lessons learnt from the development of the recovering quality of life (ReQoL) measures

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Andrew Grundy ◽  
Anju Devianee Keetharuth ◽  
Rosemary Barber ◽  
Jill Carlton ◽  
Janice Connell ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Outcomes ◽  
Outcomes Research ◽  
Public Involvement ◽  
Health Outcomes Research ◽  
Lessons Learnt
Sign in / Sign up

Export Citation Format

Share Document