AIMC Topic: Data Science

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Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Computers, informatics, nursing : CIN May 6, 2021
Data science continues to be recognized and used within healthcare due to the increased availability of large data sets and advanced analytics. It can be challenging for nurse leaders to remain apprised of this rapidly changing landscape. In this art...
Artificial Intelligence Delivery of Health Care Data Science Humans
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A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.

Journal of biomedical informatics Apr 22, 2021
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early April 2020, situatio...
Forecasting Disease Outbreaks Iraq Communicable Disease Control Data Science Pandemics COVID-19 Humans Neural Networks, Computer
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2020 ACR Data Science Institute Artificial Intelligence Survey.

Journal of the American College of Radiology : JACR Apr 20, 2021
PURPOSE: The ACR Data Science Institute conducted its first annual survey of ACR members to understand how radiologists are using artificial intelligence (AI) in clinical practice and to provide a baseline for monitoring trends in AI use over time.
Surveys and Questionnaires Data Science Radiology Humans Artificial Intelligence Radiologists
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Data Science in Chemical Engineering: Applications to Molecular Science.

Annual review of chemical and biomolecular engineering Mar 12, 2021
Chemical engineering is being rapidly transformed by the tools of data science. On the horizon, artificial intelligence (AI) applications will impact a huge swath of our work, ranging from the discovery and design of new molecules to operations and m...
Data Science Chemical Engineering Artificial Intelligence Machine Learning
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Hands-on training about overfitting.

PLoS computational biology Mar 4, 2021
Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational biology, we must include training about overfitting in all courses that introduce this techn...
Humans Machine Learning Computational Biology Models, Statistical Models, Biological Software Data Science
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Perceptions of virtual primary care physicians: A focus group study of medical and data science graduate students.

PloS one Dec 17, 2020
BACKGROUND: Artificial and virtual technologies in healthcare have advanced rapidly, and healthcare systems have been adapting care accordingly. An intriguing new development is the virtual physician, which can diagnose and treat patients independent...
Attitude to Health Physicians, Primary Care Focus Groups Students, Medical Humans Qualitative Research Data Science Primary Health Care Clinical Competence Students Artificial Intelligence Telemedicine
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Artificial Intelligence in mental health and the biases of language based models.

PloS one Dec 17, 2020
BACKGROUND: The rapid integration of Artificial Intelligence (AI) into the healthcare field has occurred with little communication between computer scientists and doctors. The impact of AI on health outcomes and inequalities calls for health professi...
Intersectoral Collaboration Health Status Disparities Linguistics Humans Data Science Psychiatry Mental Health Natural Language Processing Bias
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An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Dec 7, 2020
Drugs in solid dispersion (SD) take advantage of fast and extended dissolution, thus attains a higher bioavailability than the crystal form. However, current development of SD relies on a random large-scale formulation screening method with low effic...
Biological Availability Datasets as Topic Intestinal Absorption Solubility Drug Liberation Molecular Dynamics Simulation Administration, Oral Machine Learning Data Science Drug Design Models, Biological
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How Can Big Data Science Transform the Psychological Sciences?

The Spanish journal of psychology Nov 5, 2020
Big data and related technologies are radically altering our society. In a similar way, these approaches can transform the psychological sciences. The goal of this commentary is to motivate psychologists to embrace big data science for the betterment...
Machine Learning Big Data Psychology Data Science Humans
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The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.

Advances in health sciences education : theory and practice Nov 3, 2020
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has bee...
Humans Statistics as Topic Clinical Competence Data Science Machine Learning Health Occupations
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