AIMC Topic: Humans

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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.

IEEE transactions on medical imaging Mar 7, 2019
Recent works show that generative adversarial networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labeled database and a large unlabeled database, the goal is to train a powerful classifie...
Humans Glaucoma Supervised Machine Learning Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Algorithms Databases, Factual Retina
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Machine learning polymer models of three-dimensional chromatin organization in human lymphoblastoid cells.

Methods (San Diego, Calif.) Mar 7, 2019
We present machine learning models of human genome three-dimensional structure that combine one dimensional (linear) sequence specificity, epigenomic information, and transcription factor binding profiles, with the polymer-based biophysical simulatio...
Gene Expression Regulation Genome, Human Promoter Regions, Genetic Humans Chromatin Protein Binding Machine Learning Epigenomics Computer Simulation Polymers
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Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach.

International journal of computer assisted radiology and surgery Mar 7, 2019
PURPOSE: In radiation therapy, a key step for a successful cancer treatment is image-based treatment planning. One objective of the planning phase is the fast and accurate segmentation of organs at risk and target structures from medical images. Howe...
Imaging, Three-Dimensional Head and Neck Neoplasms Observer Variation Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Humans
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Computational modeling of neuromuscular response to swing-phase robotic knee extension assistance in cerebral palsy.

Journal of biomechanics Mar 7, 2019
Predicting subject-specific responses to exoskeleton assistance may aid in maximizing functional gait outcomes, such as achieving full knee-extension at foot contact in individuals with crouch gait from cerebral palsy (CP). The purpose of this study ...
Torque Cerebral Palsy Foot Muscle Spasticity Reflex, Stretch Knee Joint Hamstring Muscles Computer Simulation Biomechanical Phenomena Gait Female Models, Biological Adult Male Humans Robotics
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Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods.

International journal of environmental research and public health Mar 7, 2019
Morbidity prediction can be useful in improving the effectiveness and efficiency of medical services, but accurate morbidity prediction is often difficult because of the complex relationships between diseases and their influencing factors. This study...
Food Contamination Machine Learning Humans Acute Disease Deep Learning Neural Networks, Computer Gastrointestinal Diseases China
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Classifying Breast Cancer Subtypes Using Multiple Kernel Learning Based on Omics Data.

Genes Mar 7, 2019
It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrinsic differences are closely related to clinical diagnosis and designation of treatment plans. With the accumulation of biological and medicine datasets...
DNA Methylation DNA Copy Number Variations Receptor, ErbB-2 Receptors, Estrogen Genomics Humans Receptors, Progesterone RNA, Messenger Machine Learning Triple Negative Breast Neoplasms Female
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
England Length of Stay Patient Discharge Critical Care Patient Readmission Electronic Health Records Female Male Algorithms Decision Support Techniques Humans Machine Learning
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Using artificial neural networks to predict future dryland responses to human and climate disturbances.

Scientific reports Mar 7, 2019
Land degradation and sediment remobilisation in dryland environments is considered to be a significant global environmental problem. Given the potential for currently stabilised dune systems to reactivate under climate change and increased anthropoge...
Climate Change Climate Grassland Humans Neural Networks, Computer Ecosystem
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A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films.

Scientific reports Mar 7, 2019
We propose using faster regions with convolutional neural network features (faster R-CNN) in the TensorFlow tool package to detect and number teeth in dental periapical films. To improve detection precisions, we propose three post-processing techniqu...
Radiography, Dental Tooth Humans Deep Learning Neural Networks, Computer Supervised Machine Learning Algorithms Forensic Dentistry
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Recursive neural networks in hospital bed occupancy forecasting.

BMC medical informatics and decision making Mar 7, 2019
BACKGROUND: Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a focus on personnel's holiday ...
Holidays Hospitals Models, Theoretical Bed Occupancy Humans Neural Networks, Computer Machine Learning Forecasting
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