Results 1 to 10 of about 1,988,043 (115)
A data driven learning approach for the assessment of data quality [PDF]
BMC Medical Informatics and Decision Making, 2021 Background Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging.
Erik Tute +2 more
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Biocatalysed synthesis planning using data-driven learning [PDF]
Nature Communications, 2022 As of now, only rule-based systems support retrosynthetic planning using biocatalysis, while initial data-driven approaches are limited to forward predictions.
Daniel Probst +5 more
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Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student [PDF]
Frontiers in Psychology, 2023 This article reports on an experiment on the use of data-driven learning (DDL) in the revision of self-translation by a Chinese medical student.
Ying Lyu, Ying Lyu, Ziman Han
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Literature and Data-driven Learning
Current Swedish Archaeology, 2023 This article aims to examine how and why we can use digital storytelling (DST) to teach literature in the upper secondary classroom, and makes use of Mark Haddon’s complex, multimodal novel The Curious Incident of the Dog in the Night-Time (2004) as an ...
Ida Margrethe Rask Krogh, Ruben Moi
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Frontiers in Bioengineering and Biotechnology, 2023 Understanding recovery from TBI is complex, involving multiple systems and modalities. The current study applied modern data science tools to manage this complexity and harmonize large-scale data to understand relationships between gene expression and ...
J. Russell Huie +11 more
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Machine Learning Descriptors for Data‐Driven Catalysis Study
Advanced Science, 2023 Traditional trial‐and‐error experiments and theoretical simulations have difficulty optimizing catalytic processes and developing new, better‐performing catalysts.
Li‐Hui Mou +4 more
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Frontiers in Medicine, 2021 Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement.
Joanne C. Enticott +12 more
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Personas for the translational workforce
Journal of Clinical and Translational Science, 2020 Twelve evidence-based profiles of roles across the translational workforce and two patients were made available through clinical and translational science (CTS) Personas, a project of the Clinical and Translational Science Awards (CTSA) Program National ...
Sara Gonzales +11 more
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Data-Driven Supervised Learning for Life Science Data
Frontiers in Applied Mathematics and Statistics, 2020 Life science data are often encoded in a non-standard way by means of alpha-numeric sequences, graph representations, numerical vectors of variable length, or other formats. Domain-specific or data-driven similarity measures like alignment functions have
Maximilian Münch +7 more
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Exploring the data-driven approach to grammar instruction in the ELT context of Turkey
Australian Journal of Applied Linguistics, 2022 This study aims at a rediscovery of the extent to which a Data Driven Learning (DDL)-based intervention could become instrumental in facilitating grammar instruction with a specific focus on EAP and learner autonomy in a preparatory program mostly by ...
Mustafa Özer, Ali Şükrü Özbay
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