A Critical Examination of Complex Network File Formats for Bioinformatics Data Sources

2012 ◽  
Author(s):  
Ammarah Ghaffar ◽  
Muaz A. Niazi ◽  
Farah Mustafa
Keyword(s):  
Complex Network ◽  
Data Sources ◽  
Critical Examination ◽  
File Formats

Patient-generated health data analytics on ambulatory behaviours of people living with T2D: A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Meghan Shyama Nagpal ◽  
Antonia Barbaric ◽  
Diana Sherifali ◽  
Plinio P Morita ◽  
Joseph A Cafazzo
Keyword(s):  
Scoping Review ◽  
Health Behaviours ◽  
Health Data ◽  
Clinical Findings ◽  
Machine Learning Algorithms ◽  
Data Sources ◽  
Critical Examination ◽  
Online Forums ◽  
Behavioural Patterns ◽  
Health Data Analytics

BACKGROUND Complications due to Type 2 Diabetes (T2D) can be mitigated through proper self-management which can positively change health behaviours. Technological tools are available to help people living with T2D manage their condition and such tools provide a large repository for patient-generated health data (PGHD). Analytics can provide insights about the ambulatory behaviours of people living with T2D. OBJECTIVE The objective of this review was to investigate analytical insights can be derived through PGHD with respect to ambulatory behaviours of people living with T2D. METHODS A scoping review using the Arksey & O’Malley framework was conducted in which a comprehensive search of the literature was conducted by two reviewers. Three electronic databases (PubMed, IEEE, ACM) were searched using keywords associated with diabetes, behaviours, and analytics. Several rounds of screening using predetermined inclusion and exclusion criteria were conducted and studies were selected. Critical examination took place through a descriptive-analytical narrative method and data extracted from the studies was classified into thematic categories. These categories reflect the findings of this study as per our objective. RESULTS We identified 43 studies that met the inclusion criteria for this review. While 70% of the studies examined PGHD independently, 30% of the studies combined PGHD with other data sources. The majority of these studies used machine learning algorithms to perform their analysis. Themes identified through this review include 1) predicting diabetes / obesity, 2) factors that contribute to diabetes / obesity, 3) insights from social media & online forums, 4) predicting glycemia, 5) improved adherence / outcomes, 6) analysis of sedentary behaviours, 7) deriving behavioural patterns, 8) discovering clinical findings, and 9) developing design principles. CONCLUSIONS The increased volume and availability of PGHD has the potential to derive analytical insights regarding the ambulatory behaviours of people living with T2D. From the literature, we determined that analytics can predict outcomes and identify granular behavioural patterns from PGHD. This review determined the broad range of insights that can be examined through PGHD, that would not be available through other data sources.

scholarly journals A critical examination of the available data sources for estimating meat and protein consumption in the USA

2015 ◽  
Vol 19 (8) ◽  
pp. 1358-1367 ◽  
Author(s):  
Keri Szejda Fehrenbach ◽  
Allison C Righter ◽  
Raychel E Santo
Keyword(s):  
Population Level ◽  
Data Sources ◽  
Critical Examination ◽  
Processed Meat ◽  
Protein Consumption ◽  
Dietary Recall ◽  
Recall Data ◽  
The Us ◽  
Total Meat ◽  
Agricultural Supply

AbstractObjectiveTo describe the methods, strengths and limitations of available data sources for estimating US meat and protein consumption in order to facilitate accurate interpretations and applications.DesignWe examined agricultural supply and dietary intake databases from the US Department of Agriculture (USDA), the US Department of Health and Human Services and the FAO to describe their methodology and to report the most recent estimates for meat and protein consumption.ResultsTogether, loss-adjusted agricultural supply data and dietary recall data provide the best available estimates of US consumption; the most recent sources indicated that US citizens (ages 2 years and over) consume 4·4–5·9 oz (125·9–166·5 g) of total meat and 6·2–7·4 oz-eq (175·2–209·4 g-eq) from the USDA Protein Foods Group per day. Meat constitutes the majority of intake within the Protein Foods Group, and red meat and processed meat constitute the majority of total meat intake. Nutrient supply data indicate that total meat represents an estimated 43·1 % of the total protein available in the US food supply, but without any loss-adjusted nutrient data, per capita protein intake is best estimated by dietary recall data to be 79·9 g/d.ConclusionsIn order to address public health concerns related to excess meat and/or protein consumption, practitioners, educators and researchers must appropriately use available data sources in order to accurately report consumption at the population level. Implications for comparing these estimates with various recommended intakes are discussed.

scholarly journals Societal trust and nation-thinking in the midst of a pandemic – Central Europe and Scandinavia

2021 ◽  
Vol 16 (2) ◽  
pp. 61-77
Author(s):  
Alexander Bielicki
Keyword(s):  
Czech Republic ◽  
Complex Network ◽  
Central Europe ◽  
Social Trust ◽  
European Countries ◽  
Data Sources ◽  
Trust In Government ◽  
The Czech Republic ◽  
The Government ◽  
The Way

Trust in those who lead the government, trust in the way society is ordered, and trust in other people can all influence how individuals perceive the country in which they live. This study examines the different facets of societal trust (the complex network of state, political, national and social trust) in four European countries – Norway, Sweden, Slovakia and the Czech Republic – and connects these with how people understand their society to be organized, especially the degree to which the national frame is relevant. The results presented from these four countries offer a more nuanced picture of what it means to have trust in government and institutions and what it means to have trust in those who inhabit one’s country, especially in a time of crisis. The main data sources are identical surveys in four languages.

AN ASSESSMENT OF THE RELIABILITY OF SECONDARY DATA IN MANAGEMENT SCIENCE RESEARCH

2018 ◽  
Vol 1 (1) ◽  
pp. 182-194
Author(s):  
Segun Oluwaseun OLABODE, ◽  
Akeem Abayomi BAKARE ◽  
Olawale Ibrahim OLATEJU
Keyword(s):  
Prospective Studies ◽  
Secondary Data ◽  
Science Research ◽  
Data Sources ◽  
Critical Examination ◽  
It Use ◽  
Statistical Tools ◽  
Quality Of Research ◽  
Existing Data

Secondary data (SD) provides major advantage in the use of existing data sources, with large amounts of information, at relatively cheaper cost and easily available for research purposes. In the database will be available through SD, which would be impossible to collect in prospective studies. But an unreliable data could impede on the quality of research results and conclusions. Critical examination of literatures in the course of the study has helped to identify tools that can aid the assessment of SD reliability. The study believes that the use of the adjusted inter-raters/observer as proposed by the study will add value to the method of assessing the reliability of SD, because of it use of statistical tools to directly estimate the available data. The study also believes that this will serve as a base for other researchers to improve on the study of assessing the reliability of secondary data.

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