Tu1750 Gastrointestinal (GI) Symptoms Associated With Excessive Intestinal Methane Production in the Pediatric Population: A Large Database Analysis

2016 ◽  
Vol 150 (4) ◽  
pp. S933-S934
Author(s):  
Bianca W. Chang ◽  
Ruchi Mathur ◽  
Mark Pimentel ◽  
Namita Singh ◽  
Kathleen Shari Chua ◽  
...  
Keyword(s):  
Methane Production ◽  
Pediatric Population ◽  
Large Database ◽  
Database Analysis ◽  
Gi Symptoms

scholarly journals Revision rates and time to revision following endoscopic sinus surgery: A large database analysis

2017 ◽  
Vol 128 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Nathan R. Stein ◽  
Aria Jafari ◽  
Adam S. DeConde
Keyword(s):  
Endoscopic Sinus Surgery ◽  
Sinus Surgery ◽  
Large Database ◽  
Database Analysis

COMPUTATIONAL HUMANITIES

2018 ◽  
Vol 8 (6) ◽  
pp. 45
Author(s):  
NANA AMPAH ◽  
Matthew Sadiku ◽  
Omonowo Momoh ◽  
Sarhan Musa
Keyword(s):  
Data Mining ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Analysis Data ◽  
Large Database ◽  
Database Analysis ◽  
Computational Tools ◽  
The Past ◽  
Network Mapping

Computational humanities is at the intersection of computing technologies and the disciplines of the humanities. Research in this field has steadily increased over the past years. Computational tools supporting textual search, large database analysis, data mining, network mapping, and natural language processing are employed by the humanities researcher.  This opens up new realms for analysis and understanding.  This paper provides a brief introduction into computational humanities.

Factors Predicting the Need for Re-treatment After Laser Refractive Surgery in Patients With High Astigmatism: A Large Database Analysis

2021 ◽  
Vol 37 (6) ◽  
pp. 366-371
Author(s):  
Michael Mimouni ◽  
Igor Kaiserman ◽  
Ronen Spierer ◽  
Oriel Spierer ◽  
Gilad Rabina ◽  
...  
Keyword(s):  
Refractive Surgery ◽  
Large Database ◽  
Database Analysis ◽  
Laser Refractive Surgery

scholarly journals VATE: VAlidation of high TEchnology based on large database analysis by learning machine

2014 ◽  
Vol 3 (5) ◽  
pp. 435-450 ◽  
Author(s):  
Elisa Meldolesi ◽  
Johan van Soest ◽  
Anna Rita Alitto ◽  
Rosa Autorino ◽  
Nicola Dinapoli ◽  
...  
Keyword(s):  
High Technology ◽  
Large Database ◽  
Database Analysis ◽  
Learning Machine
Sign in / Sign up

Export Citation Format

Share Document