scholarly journals Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records

BMJ Open ◽  
2015 ◽  
Vol 5 (8) ◽  
pp. e008160 ◽  
Author(s):  
J MacRae ◽  
B Darlow ◽  
L McBain ◽  
O Jones ◽  
M Stubbe ◽  
...  
Keyword(s):  
Big Data ◽  
The Rich ◽  
Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1240
Author(s):  
Bjorn Criel ◽  
Steff Taelman ◽  
Wim Van Criekinge ◽  
Michiel Stock ◽  
Yves Briers

Phage lytic proteins are a clinically advanced class of novel enzyme-based antibiotics, so-called enzybiotics. A growing community of researchers develops phage lytic proteins with the perspective of their use as enzybiotics. A successful translation of enzybiotics to the market requires well-considered selections of phage lytic proteins in early research stages. Here, we introduce PhaLP, a database of phage lytic proteins, which serves as an open portal to facilitate the development of phage lytic proteins. PhaLP is a comprehensive, easily accessible and automatically updated database (currently 16,095 entries). Capitalizing on the rich content of PhaLP, we have mapped the high diversity of natural phage lytic proteins and conducted analyses at three levels to gain insight in their host-specific evolution. First, we provide an overview of the modular diversity. Secondly, datamining and interpretable machine learning approaches were adopted to reveal host-specific design rules for domain architectures in endolysins. Lastly, the evolution of phage lytic proteins on the protein sequence level was explored, revealing host-specific clusters. In sum, PhaLP can act as a starting point for the broad community of enzybiotic researchers, while the steadily improving evolutionary insights will serve as a natural inspiration for protein engineers.


Author(s):  
Peter Marks

This chapter argues for the importance of literature and film in understanding the human dimension of surveillance. It recognises that George Orwell’s Nineteen Eighty-Four is the ‘go-to’ text when surveillance is discussed in the pubic arena, but it argues that, in a world of computer surveillance and Big Data, we need to move beyond Orwell if we are understand surveillance and respond imaginatively to it. It makes the case that the utopian genre has long presented a rich and provocative set of texts that encourage us to think imaginatively about surveillance. It also registers how surveillance scholars have often utilised such texts for illustrative purposes without fully exploring the rich generic links the current book analyses at length and in depth.


Author(s):  
S-T. Peng ◽  
S-Y. Hsu ◽  
K-C. Hsieh

In recent years, more and more digital technologies and innovative concepts are applied on museum education. One of the concepts applied is “Serious game.” Serious game is not designed for entertainment purpose but allows users to learn real world’s cultural and educational knowledge in the virtual world through game-experiencing. Technologies applied on serious game are identical to those applied on entertainment game. Nowadays, the interactive technology applications considering users’ movement and gestures in physical spaces are developing rapidly, which are extensively used in entertainment games, such as Kinect-based games. The ability to explore space via Kinect-based games can be incorporated into the design of serious game. The ancient world map, Kunyu Quantu, from the collection of the National Palace Museum is therefore applied in serious game development. In general, the ancient world map does not only provide geological information, but also contains museum knowledge. This particular ancient world map is an excellent content applied in games as teaching material. In the 17<sup>th</sup> century, it was first used by a missionary as a medium to teach the Kangxi Emperor of the latest geologic and scientific spirits from the West. On this map, it also includes written biological knowledge and climate knowledge. Therefore, this research aims to present the design of the interactive and immersive serious game based installation that developed from the rich content of the Kunyu Quantu World Map, and to analyse visitor’s experience in terms of real world’s cultural knowledge learning and interactive responses.


Author(s):  
Francesc Lopez Segui ◽  
Guillem Hernandez Guillamet ◽  
Héctor Pifarré Arolas ◽  
Xavier Marin Gomez ◽  
Anna Ruiz Comellas ◽  
...  
Keyword(s):  

2016 ◽  
Vol 4 (1) ◽  
pp. 115 ◽  
Author(s):  
Naliana Lupascu ◽  
Emin Cadar ◽  
Melat Cherim ◽  
Cristina Luiza Erimia ◽  
Rodica Sîrbu

The major impact of many types of disease on the human body have generated medical research orientation toward biotechnology identification and extraction of active principles from natural resources. The social problem to improve the health of the population, to maintain social balance of a healthy society oriented medical-pharmaceutical research for the use of other sources of pharmaceuticals from natural sources and not synthetic chemistry. On this line of work is also included the research wich orientates pharmaceutical medical studies by using new sources of bioactive compounds such as: anthocyanes, flavonoids, phenolic acids, chlorogenic acid, tannins, vitamin P,C, B2, B6 from the shrub Aronia Melanocarpa. Besides these compounds are also found in the fruits different cyanidin glycosides: 3-galactoside, 3-glucoside, 3-arabinoside and 3-xyloside. The rich content in bioactive forms makes possible the use in treating certain diseases by using internal use in household. For internal use are used by diabetics having hypoglycemic effect, astringent properties and very strong diuretics, they are cardiac tonic, regulates blood pressure and blood glucose, treatment of varicose veins and hemorrhoids, it has a good hepatoprotective effect due to its high iodine content , are effective in hyperthyroidism and can be consumed by sufferers of Alzheimer's disease and relieving symptoms slowig the aging processes.


Asian Studies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 115-151
Author(s):  
Hau-ling Eileen Lam

The bi (“disc”) is an object that was originally made from jade, and became an independent motif that appeared widely in different pictorial materials during Han times. The bi disc is considered one of the earliest jade forms, and has been used for ritual purposes or as an ornament from the Neolithic period until today. This paper focuses on the Han Dynasty (202 BCE–220 CE), a period in which jade bi discs were extensively used and placed in burials of different ranks. Present finds show that images of bi discs also appeared widely in Han burials, in which they were depicted on coffins, funerary banners covering coffins, and mural paintings, and were also engraved on pictorial stones and pictorial bricks, these practices becoming more ubiquitous in the later Han period. By studying various images of bi discs in different burials throughout the Han period, this paper will explore the development and significance of different pictorial representations of bi disc in Han burial context, and also attempt to reveal the rich content and thoughts embedded in the form of bi discs during this period of time.


2020 ◽  
Vol 90 (3) ◽  
pp. 419-424 ◽  
Author(s):  
Gokay Ustdal ◽  
Ayca Ustdal Guney

ABSTRACT Objectives To evaluate the content, reliability, and quality of videos about orthodontic clear aligners on YouTube. Materials and Methods Researchers used the Google Trends website to determine that the most frequently used search term for orthodontic clear aligners on the Internet was: “Invisalign.” A search was then conducted on YouTube using the key word “Invisalign.” From the first 140 results, 100 videos were selected for analysis. A 13-point content score was used to classify poor-content and rich-content videos, and the global quality scale (GQS) was used to examine quality of the videos. To evaluate reliability of the information, a five-question scale was used. The Mann-Whitney U-test, χ2 test, and Pearson correlation coefficients were used for statistical evaluations. Results Of the YouTube videos, 33 were classified as rich content and 67 as poor content. Most videos (73%) were uploaded by laypeople, and most uploaders (71%) were women. The most commonly discussed content was instructions (65%), followed by procedure (57%) and pain (52%). Regarding the GQS, most of the videos were evaluated as moderate quality (51%). Compared with the poor-content video group, the rich-content video group had a significantly higher GQS score (P = .004). There was no significant difference between the poor-content and rich-content groups regarding information reliability (P &gt; .05). Conclusions Video content on YouTube relating to aligner orthodontics was generally insufficient. The quality of videos was moderate, but the reliability of information was generally poor. Specialists should refer patients to reliable sources of information.


Author(s):  
Rajendra Akerkar

Emergencies are typically complex problems with serious consequences that must be solved in a limited amount of time to reduce any possible damage. Big data analysis leads to more assured decision making and better decisions can mean greater operational efficiencies, cost reductions and reduced risk. In this chapter, we discuss some issues on tackling emergency situation from the perspective of big data processing and management, including our approach for processing social media content. Communications during emergencies are so plentiful that it is necessary to sift through enormous data points to find information that is most useful during a given event. The chapter also presents our ongoing IT-system that processes and analyses social media data to transform the excessive volume of low information content into small volume but rich content that is useful to emergency personnel.


2021 ◽  
Author(s):  
Francesc Lopez Segui ◽  
Guillem Hernandez Guillamet ◽  
Héctor Pifarré Arolas ◽  
Xavier Marin Gomez ◽  
Anna Ruiz Comellas ◽  
...  

BACKGROUND The COVID-19 pandemic has turned the care model of health systems around the world upside down, abruptly cancelling face-to-face visits to avoid contagion and redirecting the model towards telemedicine. Digital transformation boosts information systems, which, the more robust they are, the easier it is to monitor the healthcare system in a highly complex state and allow for more agile and reliable analysis. OBJECTIVE To analyse diagnoses from primary care visits and distinguish between those that had higher and lower variations, relative to the 2019 and 2020 periods (roughly pre- and during COVID), to identify clinical profiles that may have been most impaired and diagnoses least visited during the pandemic. METHODS A database from the Primary Care Services Information Technologies Information System of Catalonia is used. The object of the analysis is the register of visits (2,824,185) and their diagnostic codes (3921974, mean 01.38 per visit) as approximators of the reason for consultation, registered according to the International Classification of Diseases (ICD-10) at three different grouping levels. The data is represented by a term frequency matrix and analysed recursively in different partitions aggregated according to date. RESULTS In number of visits, the increase in non-face-to-face (+267%) does not compensate for the decrease in face-to-face visits (-47%), with an overall reduction in the total number of visits (-1.36%) despite the notable increase in nursing visits (10.54%). The visits with the largest increase in 2020 are those with diagnoses related to COVID-19 (codes Z20-Z29, 2.540%), along with codes related to economic and housing problems (Z55-Z65, 44.40%). Most among the rest of the codes visited decrease in 2020 relative to 2019. Those that have presented the most important reductions have been some chronic pathologies such as arterial hypertension (I10-I16; -32.73%) or diabetes mellitus (E08-E13; -21.13%), but also obesity (E65-E68; -48.58%) and bodily injuries (T14; -33.70%). Visits with mental health related diagnosis codes have decreased, but less than average. Both for children and adolescents and for adults, there was a decrease in consultations for respiratory infections (J00-J06; -40.96%). The results show very significant year-on-year variations (in absolute terms, an average of 12%), a sign of the strong shock to the health system. CONCLUSIONS The disruption in the primary care model in Catalonia has led to an explosion in the number of non-face-to-face visits. There has been a reduction in the number of visits for diagnoses related to chronic pathologies, respiratory infections, obesity and bodily injuries. Instead, visits for diagnoses related to economic and housing problems have increased, which emphasizes the importance of Social Determinants of Health and the pathway to Population Health Management. The big data-based approaches presented in this analysis, consistent with intuitions from everyday clinical practice, can help inform decision making by health planners in order to use the next few years to focus on the least treated diseases in 2020.


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