AIMC Topic: Crowdsourcing

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Crowdsourcing and curation: perspectives from biology and natural language processing.

Database : the journal of biological databases and curation Aug 7, 2016
Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodol...
Crowdsourcing Metadata Natural Language Processing Data Curation
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Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text.

Database : the journal of biological databases and curation Jun 15, 2016
Drug toxicity is a major concern for both regulatory agencies and the pharmaceutical industry. In this context, text-mining methods for the identification of drug side effects from free text are key for the development of up-to-date knowledge sources...
Machine Learning Databases, Factual Animals Humans Chemically-Induced Disorders Data Mining Crowdsourcing
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Learning to Select Supplier Portfolios for Service Supply Chain.

PloS one May 19, 2016
The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier p...
Models, Economic Crowdsourcing Neural Networks, Computer Computer Systems Algorithms Decision Making Machine Learning Predictive Value of Tests Computer Simulation
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Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response.

Big data Feb 26, 2016
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial...
Machine Learning Human Rights Humans Archaeology Remote Sensing Technology Animals Crowdsourcing Animals, Wild Disasters
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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.

IEEE transactions on medical imaging Feb 11, 2016
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases f...
Mitosis Crowdsourcing Video Games Image Interpretation, Computer-Assisted Histocytochemistry Breast Neoplasms Internet Humans Machine Learning Female Neural Networks, Computer
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Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology.

Journal of biomedical informatics Feb 10, 2016
Biomedical ontologies contain errors. Crowdsourcing, defined as taking a job traditionally performed by a designated agent and outsourcing it to an undefined large group of people, provides scalable access to humans. Therefore, the crowd has the pote...
Area Under Curve Internet Systematized Nomenclature of Medicine Algorithms Computational Biology Gene Ontology Crowdsourcing Search Engine Analysis of Variance Task Performance and Analysis Humans Software
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Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

Applied clinical informatics May 20, 2015
BACKGROUND: Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging.
Crowdsourcing Knowledge Bases Humans Drug Therapy, Computer-Assisted Academic Medical Centers Electronic Health Records
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A fusocelular skin dataset with whole slide images for deep learning models.

Scientific data May 14, 2025
Cutaneous spindle cell (CSC) lesions encompass a spectrum from benign to malignant neoplasms, often posing significant diagnostic challenges. Computer-aided diagnosis systems offer a promising solution to make pathologists' decisions objective and fa...
Diagnosis, Computer-Assisted Deep Learning Crowdsourcing Humans Skin Neoplasms
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Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Visual inspection of microscopic samples is still the gold standard diagnostic methodology for many global health diseases. Soil-transmitted helminth infection affects 1.5 billion people worldwide, and is the most prevalent disease among the Neglecte...
Child Microscopy Crowdsourcing Artificial Intelligence Global Health Humans Neural Networks, Computer
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A new approach and gold standard toward author disambiguation in MEDLINE.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorit...
Reference Standards Crowdsourcing Databases, Bibliographic Algorithms Machine Learning Data Mining Authorship MEDLINE
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