AIMC Topic: Crowdsourcing

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Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

JAMA oncology May 1, 2019
IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires s...
Aged Aged, 80 and over Adult Artificial Intelligence Tomography, X-Ray Computed Female Tumor Burden Inventions Crowdsourcing Male Middle Aged Lung Neoplasms Humans
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Learning From Peers' Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning.

Cognitive science Mar 1, 2019
Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized fee...
Financial Management Attention Crowdsourcing Professional Competence Peer Group Feedback Humans Eye Movements Machine Learning Decision Making Learning
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Fine-Tuning Deep Learning by Crowd Participation.

IEEE pulse Jan 1, 2018
One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such ground-truth annotations requires domain knowledge, cost, and time, maki...
Image Processing, Computer-Assisted Models, Theoretical Crowdsourcing Humans Machine Learning
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Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make th...
Review Literature as Topic Information Storage and Retrieval Crowdsourcing Support Vector Machine Randomized Controlled Trials as Topic Natural Language Processing Databases, Bibliographic Machine Learning Biomedical Research ROC Curve
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The effects of auditory and visual cues on timing synchronicity for robotic rehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2017
In this paper, we explore how the integration of auditory and visual cues can help teach the timing of motor skills for the purpose of motor function rehabilitation. We conducted a study using Amazon's Mechanical Turk in which 106 participants played...
Photic Stimulation Crowdsourcing Video Games Telerehabilitation Cues Acoustic Stimulation Time Factors Robotics Humans Female Young Adult Adult Male Middle Aged
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Artificial intelligence: A social spin on language analysis.

Nature May 10, 2017
Machine Learning Software Language Support Vector Machine Social Media Verbal Behavior Data Mining Humans Crowdsourcing Bullying Neural Networks, Computer Search Engine Agonistic Behavior Uncertainty
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CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.

Nature genetics Jan 31, 2017
CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. CIViC is committed to open-s...
Crowdsourcing Mutation Knowledge Bases Genetic Variation Humans Neoplasms
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Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.) Jan 1, 2016
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...
Thailand Internet Humans Disasters Support Vector Machine Data Collection Machine Learning Floods Social Media Crowdsourcing
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A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Studies in health technology and informatics Jan 1, 2015
In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to ext...
Data Interpretation, Statistical Machine Learning Semantics Minnesota Electronic Health Records Terminology as Topic Pattern Recognition, Automated Language Vocabulary, Controlled Natural Language Processing Crowdsourcing
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