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  1. 4601
    por Taşyürek, Murat, Öztürk, Celal
    Publicado 2023
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    A fine-tuned YOLOv5 deep learning approach for real-time house number detection
  2. 4602
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    Genome assembly composition of the String “ACGT” array: a review of data structure accuracy and performance challenges
  3. 4603
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    lab: an R package for generating analysis-ready data from laboratory records
  4. 4604
    “…Each team was comprised of students and postdoctoral researchers or research scientists from diverse domains including computer science, materials science, and biofilm research. …”
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    Convergence research and training in computational bioengineering: a case study on AI/ML driven biofilm-material interaction discovery
  5. 4605
    “…Relevant literature will be identified by searching seven electronic databases in engineering/computer science and healthcare, and searching the reference lists and citations of studies that meet the inclusion criteria. …”
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    Integrating equity, diversity and inclusion throughout the lifecycle of AI within healthcare: a scoping review protocol
  6. 4606
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    Using social media and personality traits to assess software developers’ emotional polarity
  7. 4607
    “…Recent technological advances in genomics, molecular biology, computer science, bioengineering, and stem cell research hold promise to collectively provide new experimental evidence for how different organisms accomplish the process of regeneration. …”
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    Enduring questions in regenerative biology and the search for answers
  8. 4608
    por Höhn, H, Karl, S, Hamm, H, Albert, J
    Publicado 1999
    “…This work is based on the SENTIMED-project (SEmantic Net Toolbox for Images in Medical EDucation) of the Department of Dermatology and the Chair for Computer Science II, University of Würzburg. SENTIMED is part of the Bavarian government initiative "Multimedia in Education". …”
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    MED11/373: Intranet-/Internet Software for Preparation and Presentation of Lectures in Dermatology
  9. 4609
    “…One of the crucial challenges for the study of such systems is the design of a well stuctured and optimized workflow to provide a systematic and efficient hypothesis verification. Computer Science can efficiently address this task by providing software that facilitates handling, analysis, and evaluation of biological data to the benefit of experimenters and modelers. …”
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    STSE: Spatio-Temporal Simulation Environment Dedicated to Biology
  10. 4610
    “…A number of groups have developed tools for text mining from a computer science/linguistics perspective, and there are many initiatives to curate some aspect of biology from the literature. …”
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    An overview of the BioCreative 2012 Workshop Track III: interactive text mining task
  11. 4611
    por Pissis, Solon P
    Publicado 2014
    “…BACKGROUND: Identifying repeated factors that occur in a string of letters or common factors that occur in a set of strings represents an important task in computer science and biology. Such patterns are called motifs, and the process of identifying them is called motif extraction. …”
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    MoTeX-II: structured MoTif eXtraction from large-scale datasets
  12. 4612
    “…Focusing mainly on non-technical issues, the review aims to increase awareness of the potential of these technologies and promote further collaborative research between the computer science and systematic review communities. METHODS: Five research questions led our review: what is the state of the evidence base; how has workload reduction been evaluated; what are the purposes of semi-automation and how effective are they; how have key contextual problems of applying text mining to the systematic review field been addressed; and what challenges to implementation have emerged? …”
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    Using text mining for study identification in systematic reviews: a systematic review of current approaches
  13. 4613
    “…HIT has the potential to reduce these disparate outcomes. In the computer science field, it has long been recognized that embedded cultural assumptions can reduce the usability, usefulness, and safety of HIT systems for populations whose characteristics differ from “stereotypical” users. …”
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    Applying Human Factors Principles to Mitigate Usability Issues Related to Embedded Assumptions in Health Information Technology Design
  14. 4614
    “…FINDINGS: Co‐creation emerged independently in several fields, including business studies (“value co‐creation”), design science (“experience‐based co‐design”), computer science (“technology co‐design”), and community development (“participatory research”). …”
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    Achieving Research Impact Through Co‐creation in Community‐Based Health Services: Literature Review and Case Study
  15. 4615
    por Sbaffi, Laura, Rowley, Jennifer
    Publicado 2017
    “…RESULTS: Interest in this topic has persisted over the last 15 years, with articles being published in medicine, social science, and computer science and originating mostly from the United States and the United Kingdom. …”
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    Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research
  16. 4616
    por Zaki, Nazar, Tennakoon, Chandana
    Publicado 2017
    “…This process is cumbersome and time consuming for those without a sufficient background in computer science. In this context, a search engine facilitating exploratory searches of databases would be of great help to the scientific community. …”
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    BioCarian: search engine for exploratory searches in heterogeneous biological databases
  17. 4617
    “…METHODS: A literature search (2005-2015) was conducted in electronic databases pertaining to medical and computer science literature (PubMed, Science Direct, ACM Digital Library, and IEEE Xplore) using a defined search string. …”
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    Understanding Monitoring Technologies for Adults With Pain: Systematic Literature Review
  18. 4618
    “…Machine learning (ML) is a multidisciplinary field that employs computer science, artificial intelligence, computational statistics and information theory to construct algorithms that can learn from existing data sets and to make predictions on new data set. …”
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    RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes
  19. 4619
    “…METHODS: Drawing upon best practices from computer science and engineering, healthcare hackathons bring together interdisciplinary teams of students and professionals to collaborate, brainstorm, and build solutions to unmet clinical needs. …”
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    Institutionalizing healthcare hackathons to promote diversity in collaboration in medicine
  20. 4620
    “…Knowledge Engineering (KE) is the Computer Science discipline elaborating on methods and tools for developing “knowledge-intensive” systems, depending on a conceptual “knowledge” schema and some kind of “reasoning” process. …”
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    Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches
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