AIMC Topic: Communication

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Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter.

The Lancet. Digital health Feb 1, 2021
COVID-19 Drug Treatment Internet Use Hydroxychloroquine Social Media Unsupervised Machine Learning Machine Learning Quackery Communication Humans
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Evaluating three approaches to binary event-level agreement scoring. A reply to Friedman (2020).

Behavior research methods Feb 1, 2021
Neural Networks, Computer Humans Reproducibility of Results Communication
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Conversational Agents in Health Care.

JAMA Dec 15, 2020
Communication Health Facilities Artificial Intelligence Delivery of Health Care
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The next-generation bots interfering with the US election.

Nature Nov 1, 2020
Machine Learning COVID-19 Communication Humans Artificial Intelligence Data Science United States Social Media Public Health China Politics Russia Computer Security
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Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter.

American journal of public health Oct 1, 2020
To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing...
Machine Learning Communication Vaccines Anti-Vaccination Movement Social Media Humans
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Clinical, Legal, and Ethical Aspects of Artificial Intelligence-Assisted Conversational Agents in Health Care.

JAMA Aug 11, 2020
Humans Government Regulation Bioethical Issues Delivery of Health Care Natural Language Processing Federal Government Communication Speech Recognition Software Computer Security Artificial Intelligence
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Brief communication: Three errors and two problems in a recent paper: gazeNet: End-to-end eye-movement event detection with deep neural networks (Zemblys, Niehorster, and Holmqvist, 2019).

Behavior research methods Aug 1, 2020
Zemblys et al. (Behavior Research Methods, 51(2), 840-864, 2019) reported on a method for the classification of eye-movements ("gazeNet"). I have found three errors and two problems with that paper that are explained herein. Error 1: The gazeNet clas...
Eye Movements Saccades Algorithms Communication Humans Neural Networks, Computer
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Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Proof of Concept Study Family Caregivers Anxiety Machine Learning Algorithms Speech Humans Female Interviews as Topic Communication Male Middle Aged Language
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[Risk communication: a social construction.].

Recenti progressi in medicina May 1, 2020
The technological developments of artificial intelligence have created predictive models capable of improving prognostic accuracy compared to traditional methods. However, there are many uncertainties about their effective applicability in clinical r...
Artificial Intelligence Humans Communication
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Reduced family care burden by using a communication robot: Case report.

Geriatrics & gerontology international Apr 1, 2020
Stroke Rehabilitation Persons with Disabilities Aged Humans Robotics Communication Japan Female Activities of Daily Living Caregivers
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