AIMC Topic: Algorithms

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Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment.

Environmental science and pollution research international Feb 15, 2021
One of the most critical parameters in concrete design is compressive strength. As the compressive strength of concrete is correctly measured, time and cost can be decreased. Concrete strength is relatively resilient to impacts on the environment. Th...
Neural Networks, Computer Algorithms Deep Learning Construction Materials Compressive Strength
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Deep learning-based X-ray inpainting for improving spinal 2D-3D registration.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 15, 2021
BACKGROUND: Two-dimensional (2D)-3D registration is challenging in the presence of implant projections on intraoperative images, which can limit the registration capture range. Here, we investigate the use of deep-learning-based inpainting for removi...
Humans X-Rays Algorithms Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Spine
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Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.

Journal of psychopharmacology (Oxford, England) Feb 15, 2021
BACKGROUND: d-glutamate, which is involved in N-methyl-d-aspartate receptor modulation, may be associated with cognitive ageing.
Diagnosis, Differential Chromatography, High Pressure Liquid Alzheimer Disease Glutamic Acid Case-Control Studies Psychiatric Status Rating Scales Cognitive Dysfunction Middle Aged Severity of Illness Index Biomarkers Female Aged Aged, 80 and over Sensitivity and Specificity Male Humans Machine Learning Algorithms
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Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making.

BMC medical informatics and decision making Feb 15, 2021
BACKGROUND: Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-prov...
Databases, Factual Decision Making Machine Learning Humans Algorithms Research Design
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Hyperspectral prediction of sugarbeet seed germination based on gauss kernel SVM.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 14, 2021
How to quickly and accurately select sugarbeet seeds with reliable germination is very important to sugarbeet planting. In this study, the hyperspectral images of 3072 sugarbeet seeds of the same variety were collected, and were successively processe...
Support Vector Machine Algorithms Seeds Image Processing, Computer-Assisted Germination
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A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.

Magnetic resonance imaging Feb 13, 2021
PURPOSE: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. In recent years, machine learning methods have been widely used on analysis of neuroimage for quantitative evaluation and computer-aided diagnosis of AD or...
Female Aged Male Deep Learning Imaging, Three-Dimensional Humans Alzheimer Disease Magnetic Resonance Imaging Algorithms Early Diagnosis Databases, Factual
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Deep learning detection of subtle fractures using staged algorithms to mimic radiologist search pattern.

Skeletal radiology Feb 12, 2021
OBJECTIVE: To develop and evaluate a two-stage deep convolutional neural network system that mimics a radiologist's search pattern for detecting two small fractures: triquetral avulsion fractures and Segond fractures.
Humans Sensitivity and Specificity Deep Learning Neural Networks, Computer Radiologists Algorithms
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HSM6AP: a high-precision predictor for the Homo N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

RNA biology Feb 12, 2021
Recent studies have shown that RNA methylation modification can affect RNA transcription, metabolism, splicing and stability. In addition, RNA methylation modification has been associated with cancer, obesity and other diseases. Based on information ...
Machine Learning Algorithms HEK293 Cells Computational Biology Gene Expression Regulation Humans Adenosine A549 Cells HeLa Cells Methylation
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Structural protein fold recognition based on secondary structure and evolutionary information using machine learning algorithms.

Computational biology and chemistry Feb 12, 2021
Understanding the function of protein is conducive to research in advanced fields such as gene therapy of diseases, the development and design of new drugs, etc. The prerequisite for understanding the function of a protein is to determine its tertiar...
Protein Structure, Secondary Humans Protein Folding Machine Learning Algorithms Databases, Protein Amino Acid Sequence
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TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

PLoS computational biology Feb 12, 2021
Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer drugs has caused the experimental investigation of all drug combinations...
Precision Medicine Drug Discovery Antineoplastic Agents Algorithms Computer Simulation Drug Evaluation, Preclinical Drug Synergism Deep Learning Computational Biology Drug Combinations Humans Neural Networks, Computer
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