AIMC Topic: Data Collection

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Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

European radiology May 26, 2020
OBJECTIVE: The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.
Netherlands Program Evaluation Program Development Artificial Intelligence Qualitative Research Radiography Humans Radiology Radiologists Data Collection
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Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data.

Neural networks : the official journal of the International Neural Network Society May 19, 2020
Multi-class classification for highly imbalanced data is a challenging task in which multiple issues must be resolved simultaneously, including (i) accuracy on classifying highly imbalanced multi-class data; (ii) training efficiency for large data; a...
Machine Learning Data Collection
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Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data.

Accident; analysis and prevention May 11, 2020
Providing drivers with real-time weather information and driving assistance during adverse weather, including fog, is crucial for safe driving. The primary focus of this study was to develop an affordable in-vehicle fog detection method, which will p...
Humans Deep Learning Accidents, Traffic Videotape Recording Weather Data Collection Automobile Driving
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Analyzing and learning the language for different types of harassment.

PloS one Mar 27, 2020
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. The presence of a significant amount of harassment in user-generated content and its negative impact calls for robust automatic detection approaches...
Female Male Social Media Humans Machine Learning Language Harassment, Non-Sexual Data Collection Linguistics Sexual Harassment
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Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.

BMJ (Clinical research ed.) Mar 20, 2020
Machine learning, artificial intelligence, and other modern statistical methods are providing new opportunities to operationalise previously untapped and rapidly growing sources of data for patient benefit. Despite much promising research currently b...
Humans Artificial Intelligence Machine Learning Surveys and Questionnaires Algorithms Data Collection Reproducibility of Results
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Achievability to Extract Specific Date Information for Cancer Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processin...
Natural Language Processing Biomedical Research Multiple Myeloma Humans Information Storage and Retrieval Neoplasms Data Collection Electronic Health Records Time Medical Oncology Lung Neoplasms
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Neoplastic Syndromes, Hereditary Genetic Heterogeneity Utah Pedigree Data Mining Data Collection Humans Machine Learning Databases, Factual Female Middle Aged Young Adult Risk Factors Incidence Risk Assessment Adult Aged Genetic Predisposition to Disease Male Adolescent Aged, 80 and over Urinary Bladder Neoplasms
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Preparing Medical Imaging Data for Machine Learning.

Radiology Feb 18, 2020
Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The potential applications are vast and include the entirety of the medical imaging life cycle from image creation to diagnosis to outcome prediction. The chief...
Humans Machine Learning Algorithms Data Management Diagnostic Imaging Data Collection
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Monitoring stance towards vaccination in twitter messages.

BMC medical informatics and decision making Feb 18, 2020
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of messages on social media, of...
Social Media Data Collection Netherlands Humans Machine Learning ROC Curve Vaccination Support Vector Machine
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FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm.

PloS one Feb 6, 2020
In recent years, the number of vulnerabilities discovered and publicly disclosed has shown a sharp upward trend. However, the value of exploitation of vulnerabilities varies for attackers, considering that only a small fraction of vulnerabilities are...
Information Systems Risk-Taking Machine Learning Data Collection Proof of Concept Study Algorithms Forecasting Computer Security Confidentiality
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