Results 51 to 60 of about 28,550,776 (217)
The challenges of explainable AI in biomedical data science
BMC Bioinformatics, 2021 With the surge of biomedical data science, more and more AI techniques are employed to discover knowledge, unveil latent data behavior, generate new insight, and seek optimal strategies in decision making.
Henry Han, Xiangrong Liu
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Data science: a game changer for science and innovation
International Journal of Data Science and Analysis, 2021 This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society at large in the coming years, including ethical problems in managing human ...
Valerio Grossi +5 more
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Activities of the Polar Environment Data Science Center of ROIS-DS, Japan
Data Science Journal, 2022 The Polar Environment Data Science Center (PEDSC) is one of the centers of the Joint Support-Center for Data Science Research (DS) of the Research Organization of Information and Systems (ROIS), which was established in 2017.
Akira Kadokura +4 more
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Data Science as Political Action: Grounding Data Science in a Politics of Justice
Journal of Social Computing, 2021 In response to public scrutiny of data-driven algorithms, the field of data science has adopted ethics training and principles. Although ethics can help data scientists reflect on certain normative aspects of their work, such efforts are ill-equipped to ...
Ben Green
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Head CT deep learning model is highly accurate for early infarct estimation
Scientific Reports, 2023 Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive mixed ...
Romane Gauriau +20 more
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Developing a population-scale harmonised ethnicity-spine in Wales.
International Journal of Population Data Science, 2022 The COVID-19 pandemic has placed a spotlight on existing and enduring health inequalities experienced by different ethnic groups. There has been a longstanding call to generate and improve the use of ethnicity data available across different data ...
Ashley Akbari +10 more
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Ten Research Challenge Areas in Data Science [PDF]
arXiv, 2020 Although data science builds on knowledge from computer science, mathematics, statistics, and other disciplines, data science is a unique field with many mysteries to unlock: challenging scientific questions and pressing questions of societal importance.
arxiv
Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice [PDF]
4th Workshop on Curricula and Teaching Methods in Cloud Computing,
Big Data, and Data Science, 2017, 2018 Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance ...
arxiv +1 more source
Leveraging Data Science to Combat COVID-19: A Comprehensive Review
IEEE Transactions on Artificial Intelligence, 2020 COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020, more than 21 million people have tested positive worldwide.
S. Latif +10 more
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Data science: connotation, methods, technologies, and development
Data Science and Management, 2021 The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence of data science with management science, computer ...
Zongben Xu +3 more
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