AIMC Topic: Data Science
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An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics.
Studies in health technology and informatics
May 25, 2022
The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in...
From space to biomedicine: Enabling biomarker data science in the cloud.
Cancer biomarkers : section A of Disease markers
Jan 1, 2022
NASA's Jet Propulsion Laboratory (JPL) is advancing research capabilities for data science with two of the National Cancer Institute's major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterizatio...
Upcoming Special Issue: "Artificial Intelligence, Data Science and E-health in Vision Research and Clinical Activity".
Journal of optometry
Jan 1, 2022
Glycowork: A Python package for glycan data science and machine learning.
Glycobiology
Nov 18, 2021
While glycans are crucial for biological processes, existing analysis modalities make it difficult for researchers with limited computational background to include these diverse carbohydrates into workflows. Here, we present glycowork, an open-source...
Surgical data science and artificial intelligence for surgical education.
Journal of surgical oncology
Aug 1, 2021
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanc...
From Utopia Through Dystopia: Charting a Course for Learning Analytics in Competency-Based Medical Education.
Academic medicine : journal of the Association of American Medical Colleges
Jul 1, 2021
The transition to the assessment of entrustable professional activities as part of competency-based medical education (CBME) has substantially increased the number of assessments completed on each trainee. Many CBME programs are having difficulty syn...
Prescreening in Oncology Using Data Sciences: The PreScIOUS Study.
Studies in health technology and informatics
May 27, 2021
The development of precision medicine in oncology to define profiles of patients who could benefit from specific and relevant anti-cancer therapies is essential. An increasing number of specific eligibility criteria are necessary to be eligible to ta...
Data scientists are predicting sports injuries with an algorithm.
Nature
Apr 1, 2021
CE: Nursing Orientation to Data Science and Machine Learning.
The American journal of nursing
Apr 1, 2021
Nurses collect, use, and produce data every day in countless ways, such as when assessing and treating patients, performing administrative functions, and engaging in strategic planning in their organizations and communities. These data are aggregated...
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