A general primer for data harmonization
Data harmonization is an important method for combining or transforming data. To date
however, articles about data harmonization are field-specific and highly technical, making it …
however, articles about data harmonization are field-specific and highly technical, making it …
A comparative analysis of the effects of containment policies on the epidemiological manifestation of the COVID-19 pandemic across nine European countries
The COVID-19 pandemic has been a catastrophic event that has seriously endangered the
world's population. Governments have largely been unprepared to deal with such an …
world's population. Governments have largely been unprepared to deal with such an …
Geovisualization: A Practical Approach for COVID-19 Spatial Analysis
PI Ekel, S Laudares, AJ Barros, DAG Vieira… - Geographies, 2023 - mdpi.com
Web Geographic Information Systems (WebGISs) were widely used to monitor COVID-19
cases and deaths during the pandemic. Furthermore, geotechnologies were also very useful …
cases and deaths during the pandemic. Furthermore, geotechnologies were also very useful …
Informing the design of data visualization tools to monitor the COVID-19 pandemic in Portugal: A Web-Delphi Participatory Approach
E Ignatenko, M Ribeiro, MD Oliveira - International Journal of …, 2022 - mdpi.com
Due to the large amount of data generated by new technologies and information systems in
the health arena, health dashboards have become increasingly popular as data …
the health arena, health dashboards have become increasingly popular as data …
Lionvu: A data-driven geographical web-GIS tool for community health and decision-making in a catchment area
NR Geyer, EJ Lengerich - Geographies, 2023 - mdpi.com
In 2018, the Penn State Cancer Institute developed LionVu, a web mapping tool to educate
and inform community health professionals about the cancer burden in Pennsylvania and its …
and inform community health professionals about the cancer burden in Pennsylvania and its …
[PDF][PDF] A General Guide for Harmonizing Data
Data harmonization is an important method for generating the requisite datasets to support
big data analyses. To date however, articles about data harmonization are field-specific and …
big data analyses. To date however, articles about data harmonization are field-specific and …
[PDF][PDF] BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression …
V Urošević, N Vojičić, A Jovanović… - … Conference on Smart …, 2023 - library.oapen.org
The presented platform architecture and deployed implementation in real-life clinical and
home care settings on four Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) …
home care settings on four Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) …
A General Guide for Harmonizing Data: Drawing Lessons from Harmonizing COVID-19 PHSM Data
Data harmonization is an important method for generating the requisite datasets to support
big data analyses. To date however, articles about data harmonization are field-specific and …
big data analyses. To date however, articles about data harmonization are field-specific and …