AIMC Topic: Data Collection

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Predicting real-time traffic conflicts using deep learning.

Accident; analysis and prevention Jan 10, 2020
Recently, technologies for predicting traffic conflicts in real-time have been gaining momentum due to their proactive nature of application and the growing implementation of ADAS technology in intelligent vehicles. In ADAS, machine learning classifi...
Humans Accidents, Traffic Safety Data Collection Algorithms Reproducibility of Results Deep Learning
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Prediction of Myopia in Adolescents through Machine Learning Methods.

International journal of environmental research and public health Jan 10, 2020
According to literature, myopia has become the second most common eye disease in China, and the incidence of myopia is increasing year by year, and showing a trend of younger age. Previous researches have shown that the occurrence of myopia is mainly...
Models, Statistical Data Collection Myopia China Adolescent Humans Machine Learning Female Reproducibility of Results Male
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Highway crash detection and risk estimation using deep learning.

Accident; analysis and prevention Dec 13, 2019
Crash Detection is essential in providing timely information to traffic management centers and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding secondary crashes and safeguarding highway traffic. For many years...
Humans Risk Assessment Deep Learning Logistic Models Accidents, Traffic Data Collection
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Natural language processing for populating lung cancer clinical research data.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extra...
Humans Artificial Intelligence Research Data Collection Narration Natural Language Processing Neoplasm Grading Electronic Health Records Female Lung Neoplasms
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Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery.

Scientific reports Nov 27, 2019
Recent technological advances in remote sensing sensors and platforms, such as high-resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of fine-grained earth observation data. Such data reveal vegetation canopi...
Plant Physiological Phenomena Satellite Imagery Plants Data Collection Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Remote Sensing Technology
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Detecting motorcycle helmet use with deep learning.

Accident; analysis and prevention Nov 6, 2019
The continuous motorization of traffic has led to a sustained increase in the global number of road related fatalities and injuries. To counter this, governments are focusing on enforcing safe and law-abiding behavior in traffic. However, especially ...
Head Protective Devices Motorcycles Myanmar Adult Male Deep Learning Cities Accidents, Traffic Data Collection Humans
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Fuzzy cognitive mapping: An old tool with new uses in nursing research.

Journal of advanced nursing Oct 10, 2019
AIMS: Describe the implementation and uses of fuzzy cognitive mapping (FCM) as a constructive method for meeting the unique and rapidly evolving needs of nursing inquiry and practice.
Humans Delivery of Health Care Nursing Research Models, Theoretical Female Fuzzy Logic Male Data Collection Cognition
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An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as an Example.

Computational and mathematical methods in medicine Oct 1, 2019
In this work, an ontology-based model for AI-assisted medicine side-effect (SE) prediction is developed, where three main components, including the drug model, the treatment model, and the AI-assisted prediction model, of the proposed model are prese...
Reproducibility of Results Medicine, Chinese Traditional Artificial Intelligence Drugs, Chinese Herbal Drug-Related Side Effects and Adverse Reactions Algorithms Humans Data Collection Patient Safety Neural Networks, Computer Pattern Recognition, Automated
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Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2019
Neural networks (NNs) have become the state of the art in many machine learning applications, such as image, sound (LeCun et al., 2015) and natural language processing (Young et al., 2017; Linggard et al., 2012). However, the success of NNs remains d...
Machine Learning Electronic Health Records Natural Language Processing Data Collection Humans Neural Networks, Computer
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An interpretable natural language processing system for written medical examination assessment.

Journal of biomedical informatics Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Reproducibility of Results Schools, Medical Clinical Competence Medical Records Educational Measurement Data Curation Humans Licensure, Medical Software Education, Medical Fuzzy Logic Algorithms Pattern Recognition, Automated Natural Language Processing Unified Medical Language System Data Collection
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