AIMC Topic: Data Collection

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A detection method for android application security based on TF-IDF and machine learning.

PloS one Sep 11, 2020
Android is the most widely used mobile operating system (OS). A large number of third-party Android application (app) markets have emerged. The absence of third-party market regulation has prompted research institutions to propose different malware d...
Machine Learning Algorithms Mobile Applications Cell Phone Humans Data Collection Computer Security
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Consent for publication: why it matters now more than ever.

Clinical and experimental dermatology Sep 2, 2020
Humans Machine Learning Ethics, Research Dermatology Informed Consent Practice Patterns, Physicians' Publications Journalism, Medical Data Collection
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Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Journal of healthcare engineering Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Pattern Recognition, Automated Blood Chemical Analysis Liver Function Tests Reproducibility of Results Programming Languages Urinalysis Artificial Intelligence Computer Systems Medicine, Chinese Traditional Humans Software Physical Examination Data Collection Models, Statistical Neural Networks, Computer Algorithms Lipids
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Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.

Journal of medical Internet research Aug 18, 2020
BACKGROUND: The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic.
Pandemics Public Opinion Humans Social Media COVID-19 Machine Learning Pneumonia, Viral Coronavirus Infections United States Data Collection
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Improving the accuracy of medical diagnosis with causal machine learning.

Nature communications Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Humans Machine Learning Models, Statistical Bayes Theorem Data Collection Algorithms Diagnosis, Computer-Assisted Decision Making Diagnosis Data Accuracy Disease
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Opportunities and challenges in the collection and analysis of digital phenotyping data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jul 17, 2020
The broad adoption and use of smartphones has led to fundamentally new opportunities for capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of research laboratories and clinics. Predicated on the use of existing p...
Data Collection Phenotype Smartphone Machine Learning Research Design
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Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.

Accident; analysis and prevention Jul 16, 2020
Traditional methods for identifying crash-prone roadways are mainly based on historical crash data. It usually requires more than three years to collect a sufficient amount of dataset for road safety assessment. However, the emerging connected vehicl...
Humans Accidents, Traffic Data Collection Risk Reproducibility of Results Neural Networks, Computer Michigan Technology Deep Learning Automobiles
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Intelligent animal detection system using sparse multi discriminative-neural network (SMD-NN) to mitigate animal-vehicle collision.

Environmental science and pollution research international Jul 10, 2020
Animal-Vehicle Collision (AVC) is a predominant problem in both urban and rural roads and highways. Detecting animals on the road is challenging due to factors like the fast movement of both animals and vehicles, highly cluttered environmental settin...
Movement Algorithms Data Collection Neural Networks, Computer
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MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning.

Big data Jul 10, 2020
Choosing the right parameter configurations for recurring jobs running on big data analytics platforms is difficult because there can be hundreds of possible parameter configurations to pick from. Even the selection of parameter configurations is bas...
Algorithms Deep Learning Big Data Data Collection Neural Networks, Computer Software
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Big Data Driven Detection of Trees in Suburban Scenes Using Visual Spectrum Eye Level Photography.

Sensors (Basel, Switzerland) May 28, 2020
The aim of the work described in this paper is to detect trees in eye level view images. Unlike previous work that universally considers highly constrained environments, such as natural parks and wooded areas, or simple scenes with little clutter and...
Trees Data Collection Machine Learning Pattern Recognition, Automated Big Data Photography
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