Subrahmanya, Sri Venkat Gunturi Shetty, Dasharathraj K Patil, Vathsala Hameed, B M Zeeshan Paul, Rahul Smriti, Komal Naik, Nithesh Somani, Bhaskar K
Published in
Irish journal of medical science
Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical exa...
Bouklouch, Yasser Schmidt, Andrew H Obremskey, William T Bernstein, Mitchell Gamburg, Nicole Harvey, Edward J
Published in
Injury
There remain gaps in knowledge regarding the pathophysiology, initial diagnosis, treatment, and outcome of acute compartment syndrome (ACS). Most reported clinical outcomes are from smaller studies of heterogeneous patients. For a disease associated with a financial burden to society that represents billions of dollars worldwide the literature does...
Green, Sara Carusi, Annamaria Hoeyer, Klaus
Published in
Social science & medicine (1982)
Politically authorized reports on personalized and precision medicine stress an urgent need for finer-grained disease categories and faster taxonomic revision, through integration of genomic and phenotypic data. Developing a data-driven taxonomy is, however, not as simple as it sounds. It is often assumed that an integrated data infrastructure is r...
Guo, Jian
Published in
E3S Web of Conferences
Address recognition, as one of the important scenarios of natural language processing in big data applications, is an important and extremely practical technical means. Currently, the evolution of big data applications is being actively promoted, and more and more people are using big data technology to empower power address recognition. Address in...
Altay, Sacha Berriche, Manon Acerbi, Alberto
Alarmist narratives about online misinformation continue to gain traction despite evidence that its prevalence and impact are overstated. Drawing on research examining the use of big data in social science and reception studies, we identify six misconceptions about misinformation and highlight the conceptual and methodological challenges they raise...
Liu, Chih-Hsing Horng, Jeou-Shyan Chou, Sheng-Fang Yu, Tai-Yi Huang, Yung-Chuan Lin, Jun-You
Published in
Quality & Quantity
Big data (BD) research articles are on new issues, this study sought to fill the knowledge gap of linkage the relationships between big data and marketing strategy with comprehensive viewpoints across different research fields in tourism and hospitality literatures. Content analysis was conducted to gather materials from the particular studies. For...
Bilad, Assia Zaim, Mounia Zaim, Faical
Published in
ITM Web of Conferences
Digital technologies are occupying more and more a very important place in the industry, and more precisely with the 4th industrial revolution or what is called industry 4.0. In addition, digital transformation requires the implementation of two tools: Big data and the Internet of Things as the two starting tools, which continue to evolve gradually...
Cahill, Ronan A Mac Aonghusa, Pol Mortensen, Neil
Published in
The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
Surgery is a major component of health-care provision. Operative intervention often employs minimally invasive approaches incorporating digital cameras creating a 'digital twin' of both intracorporeal appearances and operative performance. Video recordings provide richer detail than the traditional operative note and can couple with advanced comput...
Qi, Lizhong Zhao, Chunhui Yu, Gao Xue, Jiarui
Published in
Journal of Physics: Conference Series
The increasingly complex network environment leads to more and more intense network attacks. Traditional firewall and intrusion detection technology cannot guarantee the network security of power information system, so network space situation awareness becomes the most important in the field of network security. Big data technology can be used to b...
Kwofie, Samuel K Agyenkwa-Mawuli, Kwasi Broni, Emmanuel Miller Iii, Whelton A Wilson, Michael D
Published in
Molecular diversity
Schistosomiasis is a neglected tropical disease caused by helminths of the Schistosoma genus. Despite its high morbidity and socio-economic burden, therapeutics are just a handful with praziquantel being the main drug. Praziquantel is an old drug registered for human use in 1982 and has since been administered en masse for chemotherapy, risking the...