AIMC Topic:
Databases, Factual

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SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network.

Scientific reports Mar 18, 2020
Drug-disease association is an important piece of information which participates in all stages of drug repositioning. Although the number of drug-disease associations identified by high-throughput technologies is increasing, the experimental methods ...
Humans Lung Neoplasms Neural Networks, Computer Computational Biology Machine Learning Obesity Support Vector Machine Anti-Obesity Agents Algorithms Area Under Curve Stomach Neoplasms Databases, Factual Antineoplastic Agents Computer Simulation ROC Curve
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EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning.

Biological cybernetics Mar 17, 2020
For spatiotemporal learning with neural networks, hyperparameters are often set manually by a human expert. This is especially the case with multiple timescale networks that require a careful setting of the values of timescales in order to learn spat...
Time Perception Spatial Learning Models, Neurological Robotics Humans Psychomotor Performance Neural Networks, Computer Databases, Factual Time Factors
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Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data.

Journal of medical Internet research Mar 17, 2020
BACKGROUND: Lung cancer is one of the most dangerous malignant tumors, with the fastest-growing morbidity and mortality, especially in the elderly. With a rapid growth of the elderly population in recent years, lung cancer prevention and control are ...
Humans Surveys and Questionnaires Incidence Lung Neoplasms Internet Neural Networks, Computer Risk Factors Databases, Factual Aged Female Male
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Learning supervised embeddings for large scale sequence comparisons.

PloS one Mar 13, 2020
Similarity-based search of sequence collections is a core task in bioinformatics, one dominated for most of the genomic era by exact and heuristic alignment-based algorithms. However, even efficient heuristics such as BLAST may not scale to the data ...
Time Factors Machine Learning Area Under Curve Algorithms Sequence Homology Databases, Factual
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A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Screening programs use mammography as primary diagnostic tool for detecting breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications, is still difficult today for radiologists. In this paper, we proposed...
Area Under Curve Breast ROC Curve Calcinosis Mammography Humans Machine Learning Female Algorithms Breast Neoplasms Databases, Factual
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DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.

BMC bioinformatics Mar 11, 2020
BACKGROUND: Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is mo...
Humans Dermoscopy Deep Learning ROC Curve Area Under Curve Databases, Factual Melanoma Skin Neoplasms
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CAPTCHA Image Generation: Two-Step Style-Transfer Learning in Deep Neural Networks.

Sensors (Basel, Switzerland) Mar 9, 2020
Mobile devices such as sensors are used to connect to the Internet and provide services to users. Web services are vulnerable to automated attacks, which can restrict mobile devices from accessing websites. To prevent such automated attacks, CAPTCHAs...
Neural Networks, Computer Machine Learning Databases, Factual Pattern Recognition, Visual Image Processing, Computer-Assisted Computer Security Humans
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Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.

Computers in biology and medicine Mar 7, 2020
In this work we examine some of the problems associated with the development of machine learning models with the objective to achieve robust generalization capabilities on common-task multiple-database scenarios. Referred to as the "database variabil...
Sleep Stages Machine Learning Neural Networks, Computer Databases, Factual Sleep
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Breaking Down Structural Diversity for Comprehensive Prediction of Ion-Neutral Collision Cross Sections.

Analytical chemistry Mar 6, 2020
Identification of unknowns is a bottleneck for large-scale untargeted analyses like metabolomics or drug metabolite identification. Ion mobility-mass spectrometry (IM-MS) provides rapid two-dimensional separation of ions based on their mobility throu...
Algorithms Databases, Factual Particle Size Ions Machine Learning Surface Properties Ion Mobility Spectrometry
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Neoplasm Invasiveness Predictive Value of Tests Area Under Curve Lung Neoplasms Multiple Pulmonary Nodules Early Detection of Cancer Neoplasm Staging Cell Transformation, Neoplastic Adult Male Middle Aged Cohort Studies ROC Curve Risk Assessment Incidence Retrospective Studies Female Aged Algorithms Databases, Factual Neural Networks, Computer Prognosis Artificial Intelligence Humans
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