AIMC Topic: Neural Networks, Computer

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Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.

Folia biologica Jan 1, 2019
Breast cancer survival prediction can have an extreme effect on selection of best treatment protocols. Many approaches such as statistical or machine learning models have been employed to predict the survival prospects of patients, but newer algorith...
Support Vector Machine Decision Trees Survival Analysis Calibration Demography Breast Neoplasms Middle Aged Deep Learning Aged, 80 and over Young Adult Adult Female Humans Aged Neural Networks, Computer
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Carpal Bone Segmentation Using Fully Convolutional Neural Network.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BA...
Age Determination by Skeleton Carpal Bones Deep Learning Child Adolescent Humans Sex Factors Asian People Child, Preschool Neural Networks, Computer White People Hispanic or Latino Female Infant, Newborn Black or African American Male Infant
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AI, Machine Learning, and Ethics in Health Care.

The Journal of legal medicine Jan 1, 2019
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Bioethics Data Science Social Justice Neural Networks, Computer Artificial Intelligence Machine Learning Beneficence Confidentiality Informed Consent Congresses as Topic Health Equity Social Responsibility Personal Autonomy Legislation as Topic
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Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security Jan 1, 2019
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...
Phenotype Computer Simulation Animals Humans Neural Networks, Computer Machine Learning Genotype Models, Biological Influenza in Birds Influenza, Human Birds Viral Tropism Influenza A virus
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Resilience actions to counteract the effects of climate change and health emergencies in cities: the role of artificial neural networks.

Annali dell'Istituto superiore di sanita Jan 1, 2019
Both the World Health Organization (WHO) with its 2015 "Climate and Health Country Profile Project" and the Istituto Superiore di Sanità (ISS) with its 2018 "Health and Climate Change", agree on the emergency generated by the climate change and conce...
Arizona Emergencies Climate Change Cities Conservation of Natural Resources Environmental Monitoring Environmental Health Greenhouse Effect Humans Greenhouse Gases Neural Networks, Computer City Planning
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A fractional power series neural network for solving a class of fractional optimal control problems with equality and inequality constraints.

Network (Bristol, England) Jan 1, 2019
This paper solved fractional order optimal control problems, in which the dynamic control system involves integer and fractional order derivatives with equality and inequality constraints. According to the Pontryagin minimum principle (PMP) for fract...
Neural Networks, Computer Mathematical Concepts
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Prediction of Citrullination Sites on the Basis of mRMR Method and SNN.

Combinatorial chemistry & high throughput screening Jan 1, 2019
BACKGROUND: Citrullination, an important post-translational modification of proteins, alters the molecular weight and electrostatic charge of the protein side chains. Citrulline, in protein sequences, is catalyzed by a class of Peptidyl Arginine Deim...
Humans Citrullination Neural Networks, Computer Citrulline Algorithms Computational Biology
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Quantification of hepatic steatosis in histologic images by deep learning method.

Journal of X-ray science and technology Jan 1, 2019
OBJECTIVE: To develop and test a novel method for automatic quantification of hepatic steatosis in histologic images based on the deep learning scheme designed to predict the fat ratio directly, which aims to improve accuracy in diagnosis of non-alco...
Rabbits Non-alcoholic Fatty Liver Disease Deep Learning Liver Diet, High-Fat Female Animals Male Neural Networks, Computer Tomography, X-Ray Computed
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Imaging Connectomics and the Understanding of Brain Diseases.

Advances in experimental medicine and biology Jan 1, 2019
Neuroimaging-based personalized medicine is emerging to characterize brain disorders and their evolution at the patient level. In this chapter, we present the most classic methods used to infer large-scale brain connectivity based on functional MRI. ...
Humans Magnetic Resonance Imaging Linear Models Neural Networks, Computer Brain Brain Diseases Connectome
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Machine Learning in Neural Networks.

Advances in experimental medicine and biology Jan 1, 2019
Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by providing the patient of psychiatric disorders with the right medication at the right dose at the right time. In light of recent advances in neuroimagin...
Mental Disorders Neural Networks, Computer Humans Psychiatry Artificial Intelligence Neuroimaging Machine Learning
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