AIMC Topic: Data Accuracy

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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestati...
Female Ultrasonography Data Accuracy Internationality Gestational Age Biometry Humans Machine Learning Fetal Development Algorithms Prospective Studies Pregnancy
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Missing data imputation with adversarially-trained graph convolutional networks.

Neural networks : the official journal of the International Neural Network Society Jun 13, 2020
Missing data imputation (MDI) is the task of replacing missing values in a dataset with alternative, predicted ones. Because of the widespread presence of missing data, it is a fundamental problem in many scientific disciplines. Popular methods for M...
Neural Networks, Computer Data Accuracy
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Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.

Accident; analysis and prevention May 11, 2020
Lane change has been recognized as a challenging driving maneuver and a significant component of traffic safety research. Developing a real-time continuous lane change detection system can assist drivers to perform and deal with complex driving tasks...
Machine Learning Databases, Factual Accidents, Traffic Humans Weather Automobile Driving Data Accuracy
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Developing a novel force forecasting technique for early prediction of critical events in robotics.

PloS one May 7, 2020
Safety critical events in robotic applications can often be characterized by forces between the robot end-effector and the environment. One application in which safe interaction between the robot and environment is critical is in the area of medical ...
Gelatin Injections Data Accuracy Needles Swine Forecasting Robotics Liver Humans Biomechanical Phenomena Models, Biological Models, Statistical Machine Learning Animals Cadaver Algorithms
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Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery.

PloS one May 7, 2020
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation be...
Normal Distribution City Planning Water Resources Humans Trees Neural Networks, Computer Data Accuracy Philadelphia Models, Statistical Soil Parks, Recreational Cities Poaceae Cluster Analysis
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Big Data and Atrial Fibrillation: Current Understanding and New Opportunities.

Journal of cardiovascular translational research May 6, 2020
Atrial fibrillation (AF) is the most common arrhythmia with diverse etiology that remarkably relates to high morbidity and mortality. With the advancements in intensive clinical and basic research, the understanding of electrophysiological and pathop...
Humans Big Data Data Accuracy Machine Learning Data Mining Animals Atrial Fibrillation
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Artificial Intelligence in Vascular Surgery: Moving from Big Data to Smart Data.

Annals of vascular surgery Apr 24, 2020
Data Mining Data Accuracy Medical Record Linkage Computer Security Vascular Surgical Procedures Humans Artificial Intelligence Big Data
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Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.

Yearbook of medical informatics Apr 17, 2020
OBJECTIVE: To create practical recommendations for the curation of routinely collected health data and artificial intelligence (AI) in primary care with a focus on ensuring their ethical use.
Ethics, Medical Data Accuracy Information Dissemination Artificial Intelligence Electronic Health Records Primary Health Care Medical Informatics Medical Records Systems, Computerized Humans
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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

Scientific reports Mar 11, 2020
A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data lea...
Data Accuracy Image Interpretation, Computer-Assisted Papillomaviridae Survival Rate Deep Learning Prognosis Papillomavirus Infections ROC Curve Humans Retrospective Studies Head and Neck Neoplasms Tomography, X-Ray Computed Privacy
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Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.

PloS one Mar 5, 2020
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our previous study, we introduced a deep convolutional neural network (DCNN) to automatically classify cytological images as images with benign or malignant ...
Humans Male Lung Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Data Accuracy Image Interpretation, Computer-Assisted
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