AIMC Topic: Algorithms

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Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution.

European radiology Apr 26, 2020
OBJECTIVE: To determine the diagnostic performance of a deep learning (DL) model in evaluating myometrial invasion (MI) depth on T2-weighted imaging (T2WI)-based endometrial cancer (EC) MR imaging (ECM).
Humans Algorithms Retrospective Studies Magnetic Resonance Imaging Neoplasm Invasiveness Endometrial Neoplasms Myometrium Female Middle Aged Deep Learning
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Prototype Selection Method Based on the Rivality and Reliability Indexes for the Improvement of the Classification Models and External Predictions.

Journal of chemical information and modeling Apr 26, 2020
Prototype or instance selection techniques is an important field of research in knowledge discovery, data mining, and machine learning. In QSAR, the use of prototype selection techniques in the preprocessing stage of the construction of the QSAR mode...
Machine Learning Algorithms Reproducibility of Results Data Mining Quantitative Structure-Activity Relationship
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A convolutional neural network to detect scoliosis treatment in radiographs.

International journal of computer assisted radiology and surgery Apr 26, 2020
PURPOSE: The aim of this work is to propose a classification algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs could represent a step to...
Image Interpretation, Computer-Assisted Scoliosis Braces Algorithms Databases, Factual Adolescent Radiography Prostheses and Implants Spine Humans Neural Networks, Computer
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Optimized Mahalanobis-Taguchi System for High-Dimensional Small Sample Data Classification.

Computational intelligence and neuroscience Apr 26, 2020
The Mahalanobis-Taguchi system (MTS) is a multivariate data diagnosis and prediction technology, which is widely used to optimize large sample data or unbalanced data, but it is rarely used for high-dimensional small sample data. In this paper, the o...
Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Support Vector Machine
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Serum Albumin Spondylolisthesis Clinical Decision Rules Transplantation, Autologous Bone Transplantation Ilium Functional Status Neurosurgical Procedures Spinal Fusion Lumbar Vertebrae Alkaline Phosphatase Sex Factors Logistic Models Age Factors Decision Making Middle Aged Postoperative Complications Adolescent Risk Factors Aged Young Adult Algorithms Aged, 80 and over Adult Prognosis Humans Male Female Machine Learning
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Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

International journal of medical informatics Apr 25, 2020
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...
Students Surveys and Questionnaires Adolescent Female Male Risk Assessment Child Natural Language Processing Violence Machine Learning Humans Algorithms Prospective Studies
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Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms.

Computational intelligence and neuroscience Apr 25, 2020
The need for an efficient power source for operating the modern industry has been rapidly increasing in the past years. Therefore, the latest renewable power sources are difficult to be predicted. The generated power is highly dependent on fluctuated...
Forecasting Machine Learning Wind Algorithms
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Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns.

Sensors (Basel, Switzerland) Apr 24, 2020
Action recognition in robotics is a research field that has gained momentum in recent years. In this work, a video activity recognition method is presented, which has the ultimate goal of endowing a robot with action recognition capabilities for a mo...
Brain-Computer Interfaces Recognition, Psychology Robotics Discriminant Analysis Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC.

International journal of environmental research and public health Apr 24, 2020
When an emergency event occurs, it is critical to respond in the shortest possible time. Therefore, the rationality and effectiveness of emergency decisions are the key links in emergency management. In this paper, with aims to investigate the proble...
Algorithms Emergencies Fuzzy Logic Decision Making Linguistics Group Processes Humans Social Perception
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Discrimination of Tetrastigma hemsleyanum according to geographical origin by near-infrared spectroscopy combined with a deep learning approach.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 23, 2020
Recently, deep learning has presented as a powerful approach to overcome the deficiencies of the conventional biochemical approaches. In this study, a method for discriminating medicinal plant Tetrastigma hemsleyanum from different origins was propos...
Deep Learning Vitaceae Neural Networks, Computer Algorithms Spectroscopy, Near-Infrared
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