Results 21 to 30 of about 60,929 (294)
Clinical Prediction Models for Valvular Heart Disease
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background While many clinical prediction models (CPMs) exist to guide valvular heart disease treatment decisions, the relative performance of these CPMs is largely unknown.
Benjamin S. Wessler +10 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2020 Globally, under-five child mortality is a substantial health problem. In developing countries, reducing child mortality and improving child health are the key priorities in health sectors.
Muhammad Islam +4 more
doaj +1 more source
Predictive analytics using machine learning in XLSTAT
, 2021 Predictive analytics is one of division of advanced analytics usually utilized for predicting unacquainted forthcoming events. Techniques like data mining, modeling, artificial intelligence, statistics, and machine learning are utilized in predictive ...
Amol Gawande +3 more
core +1 more source
Crime Science, 2020 This paper presents the findings from a mixed-methods examination of self-protective behaviours (SPBs) adopted by victims of cyber abuse from the rational choice perspective. The data from a sample of the U.S.
Zarina I. Vakhitova +3 more
doaj +1 more source
Defining a Digital Twin: A Data Science-Based Unification
Machine Learning and Knowledge Extraction, 2023 The concept of a digital twin (DT) has gained significant attention in academia and industry because of its perceived potential to address critical global challenges, such as climate change, healthcare, and economic crises.
Frank Emmert-Streib
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Text Analytics for Android Project
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
npj Systems Biology and Applications, 2022 High-throughput omics experiments provide a wealth of data for exploring biomedical questions and for advancing translational research. However, despite this great potential, results that enter the clinical practice are scarce even twenty years after the
Frank Emmert-Streib
doaj +1 more source
Prediction of BMI Using Predictive Analytics
, 2022 Predictive analytics is the latest technology in which statistical and analytics data techniques are used for making predictions. Predictive analytics use the technologies like statistics, machine learning, and data mining.
Ms. Shriya Ramdasi, Dr. Anjali Gaikwad
core +2 more sources
From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence
Machine Learning and Knowledge Extraction, 2021 Technological progress has led to powerful computers and communication technologies that penetrate nowadays all areas of science, industry and our private lives.
Frank Emmert-Streib
doaj +1 more source
Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM [PDF]
, 2021 In this work, we investigate the degree-awarding gap in distance higher education by studying the impact of a Predictive Learning Analytics system, when applying it to 3 STEM (Science, Technology, Engineering and Mathematics) courses with over 1,500 ...
Bayer, Vaclav +3 more
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