AIMC Topic: Humans

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Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell Lines.

SLAS discovery : advancing life sciences R & D Jan 29, 2019
Multiparametric high-content imaging assays have become established to classify cell phenotypes from functional genomic and small-molecule library screening assays. Several groups have implemented machine learning classifiers to predict the mechanism...
Neural Networks, Computer Cytological Techniques Machine Learning Cell Line, Tumor Humans
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Convolutional Neural Networks for Radiologic Images: A Radiologist's Guide.

Radiology Jan 29, 2019
Deep learning has rapidly advanced in various fields within the past few years and has recently gained particular attention in the radiology community. This article provides an introduction to deep learning technology and presents the stages that are...
Humans Deep Learning Neural Networks, Computer Radiology
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Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

International journal of environmental research and public health Jan 29, 2019
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health condit...
Humans Models, Theoretical Neural Networks, Computer Male Early Diagnosis Health Status Diabetes Mellitus Middle Aged Mexico Female Area Under Curve ROC Curve Adult
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Motion Planning of Autonomous Mobile Robot Using Recurrent Fuzzy Neural Network Trained by Extended Kalman Filter.

Computational intelligence and neuroscience Jan 29, 2019
This paper proposes a novel motion planning method for an autonomous ground mobile robot to address dynamic surroundings, nonlinear program, and robust optimization problems. A planner based on the recurrent fuzzy neural network (RFNN) is designed to...
Robotics Nonlinear Dynamics Motion Algorithms Humans Mobile Applications Neural Networks, Computer Fuzzy Logic
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Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes.

IEEE transactions on neural networks and learning systems Jan 28, 2019
In this paper, we believe that the mixed selectivity of neuron in the top layer encodes distributed information produced from other neurons to offer a significant computational advantage over recognition accuracy. Thus, this paper proposes a hierarch...
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Deep Learning Humans Pattern Recognition, Visual Neural Networks, Computer Algorithms Databases, Factual
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The oncological and surgical safety of robot-assisted surgery in colorectal cancer: outcomes of a longitudinal prospective cohort study.

Surgical endoscopy Jan 28, 2019
BACKGROUND: Colorectal cancer is one of the most common cancers worldwide. Laparoscopic colorectal surgery (LCRS) is a frequently used modality. A new development in minimally invasive surgery is robot-assisted colorectal surgery (RACRS).
Male Postoperative Complications Length of Stay Survival Rate Colorectal Neoplasms Operative Time Robotics Neoplasm Staging Incidence Follow-Up Studies Humans Intraoperative Complications Female Aged Prospective Studies Netherlands Colectomy Margins of Excision Neoplasm Recurrence, Local Disease-Free Survival
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Clone-Based Encoded Neural Networks to Design Efficient Associative Memories.

IEEE transactions on neural networks and learning systems Jan 28, 2019
In this paper, we introduce a neural network (NN) model named clone-based neural network (CbNN) to design associative memories. Neurons in CbNN can be cloned statically or dynamically which allows to increase the number of data that can be stored and...
Humans Association Learning Neural Networks, Computer Memory
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Physiological interference reduction for near infrared spectroscopy brain activity measurement based on recursive least squares adaptive filtering and least squares support vector machines.

Computer assisted surgery (Abingdon, England) Jan 28, 2019
Near infrared spectroscopy is the promising and noninvasive technique that can be used to detect the brain functional activation by monitoring the concentration alternations in the haemodynamic concentration. The acquired NIRS signals are commonly co...
Hemoglobins Monte Carlo Method Support Vector Machine Least-Squares Analysis Humans Brain Spectroscopy, Near-Infrared Algorithms
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Super resolution reconstruction for medical image based on adaptive multi-dictionary learning and structural self-similarity.

Computer assisted surgery (Abingdon, England) Jan 28, 2019
To improve the quality of the super-resolution (SR) reconstructed medical images, an improved adaptive multi-dictionary learning method is proposed, which uses the combined information of medical image itself and the natural images database. In train...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Machine Learning Algorithms
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A natural language processing algorithm to extract characteristics of subdural hematoma from head CT reports.

Emergency radiology Jan 28, 2019
PURPOSE: Subdural hematoma (SDH) is the most common form of traumatic intracranial hemorrhage, and radiographic characteristics of SDH are predictive of complications and patient outcomes. We created a natural language processing (NLP) algorithm to e...
Hematoma, Subdural Reproducibility of Results Natural Language Processing Trauma Centers Humans Tomography, X-Ray Computed
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