Results 41 to 50 of about 29,969,840 (342)

The impact of slippage on the data quality of head-worn eye trackers

Behavior Research Methods, 2020
Mobile head-worn eye trackers allow researchers to record eye-movement data as participants freely move around and interact with their surroundings. However, participant behavior may cause the eye tracker to slip on the participant’s head, potentially ...
D. Niehorster, Thiago Santini, R. Hessels, Ignace T. C. Hooge, Enkelejda Kasneci, M. Nyström   +5 more
semanticscholar   +1 more source

Mobilizing primary biodiversity records in environmental assessments in Spain [PDF]

Biodiversity Data Journal
Environmental Assessment is an essential tool for minimising the environmental impact of human development, generating huge amounts of biodiversity data.
Maite Telletxea, Rafael Miranda, Arturo Ariño, David Galicia   +3 more
doaj   +3 more sources

Validation of data quality in a nationwide gastroenterological surgical database: The National Clinical Database site‐visit and remote audits, 2016‐2018

Annals of Gastroenterological Surgery, 2021
Background and Aim In 2015, the Japanese Society of Gastroenterological Surgery (JSGS) initiated data verification in the gastroenterological section of the National Clinical Database (NCD) and reported high accuracy of data entry.
Hiroshi Hasegawa, Arata Takahashi, Shingo Kanaji, Yoshihiro Kakeji, Shigeru Marubashi, Hiroyuki Konno, Mitsukazu Gotoh, Hiroaki Miyata, Yuko Kitagawa, Yasuyuki Seto   +9 more
doaj   +1 more source

DETexT: An SNV detection enhancement for low read depth by integrating mutational signatures into TextCNN

Frontiers in Genetics, 2022
Detecting SNV at very low read depths helps to reduce sequencing requirements, lowers sequencing costs, and aids in the early screening, diagnosis, and treatment of cancer.
Tian Zheng, Tian Zheng
doaj   +1 more source

Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

BMC Medical Research Methodology, 2020
Background No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate ...
C. O. Schmidt, S. Struckmann, C. Enzenbach, A. Reineke, J. Stausberg, S. Damerow, M. Huebner, B. Schmidt, W. Sauerbrei, A. Richter   +9 more
semanticscholar   +1 more source

Investigating SARS-CoV-2 Test Positivity Calculations Across US Jurisdictions

International Journal of Infectious Diseases, 2022
Purpose: Throughout the COVID-19 pandemic, many US epidemiologists and policymakers turned to an indicator called test positivity, or the percent of tests coming back positive for SARS-CoV-2, to contextualize COVID-19 case counts with testing volume. But
J. Rivera, K. Schechtman, R. Glassman, M. Mart, Q. Nguyen   +4 more
doaj  

The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

Scientific Reports, 2023
Acute coronary syndrome (ACS) is a common cause of death in individuals older than 55 years. Although younger individuals are less frequently seen with ACS, this clinical event has increasing incidence trends, shows high recurrence rates and triggers ...
Luiz Sérgio Fernandes de Carvalho, Gustavo Alexim, Ana Claudia Cavalcante Nogueira, Marta Duran Fernandez, Tito Barbosa Rezende, Sandra Avila, Ricardo Torres Bispo Reis, Alexandre Anderson Munhoz Soares, Andrei Carvalho Sposito   +8 more
doaj   +1 more source

Predictors of 30-day readmission following hospitalisation with community-acquired pneumonia

BMJ Open Respiratory Research, 2021
Background There is a paucity of UK data to aid healthcare professionals in predicting which patients hospitalised with community-acquired pneumonia (CAP) are at greatest risk of 30-day readmission and to determine which readmissions may occur soonest ...
Martin Allen, Steven Lane, Biswajit Chakrabarti, Tom Jenks, Joanne Higgins, Elizabeth Kanwar, Dan Wotton   +6 more
doaj   +1 more source

Citizens’ Trust in Open Government Data: A Quantitative Study about the Effects of Data Quality, System Quality and Service Quality

Digital Government Research, 2020
Previous research assumes that poor quality of Open Government Data (OGD), OGD portals, and the services provided for OGD may result in reduced trust of citizens in OGD. However, studies that empirically test this assumption are scarce.
A. Purwanto, Anneke Zuiderwijk, M. Janssen   +2 more
semanticscholar   +1 more source

Determinants of information system quality and data quality in management accounting

Journal of Management Control, 2020
Data quality is critical to adequately perform management accounting (MA) tasks, and information systems (IS) provide the data for the MA domain. However, IS can vary vastly across firms, which may influence the basis for rational decision making (i.e ...
Thorsten Knauer, Nicole Nikiforow, Sebastian Wagener   +2 more
semanticscholar   +1 more source