AIMC Topic: Algorithms

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Applicability Domain of Active Learning in Chemical Probe Identification: Convergence in Learning from Non-Specific Compounds and Decision Rule Clarification.

Molecules (Basel, Switzerland) Jul 26, 2019
Efficient identification of chemical probes for the manipulation and understanding of biological systems demands specificity for target proteins. Computational means to optimize candidate compound selection for experimental selectivity evaluation are...
Decision Support Techniques Reproducibility of Results Drug Discovery Decision Trees Ligands Chemical Phenomena Computational Biology Databases, Chemical Models, Theoretical Quantitative Structure-Activity Relationship Machine Learning Algorithms
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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

PloS one Jul 26, 2019
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian...
Image Processing, Computer-Assisted Ovarian Neoplasms Area Under Curve Female Ultrasonography Humans Fourier Analysis ROC Curve Machine Learning Algorithms
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G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides.

IEEE/ACM transactions on computational biology and bioinformatics Jul 25, 2019
Cell-penetrating peptides (CPPs) are functional short peptides with high carrying capacity. CPP sequences with targeting functions for the highly efficient delivery of drugs to target cells. In this paper, which is focused on the prediction of the ca...
Support Vector Machine Models, Statistical Discriminant Analysis Cell-Penetrating Peptides Machine Learning Algorithms Computational Biology
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A generalized neural network for distributed nonsmooth optimization with inequality constraint.

Neural networks : the official journal of the International Neural Network Society Jul 25, 2019
In this paper, a generalized neural network with a novel auxiliary function is proposed to solve a distributed non-differentiable optimization over a multi-agent network. The constructed auxiliary function can ensure that the state solution of propos...
Computer Simulation Neural Networks, Computer Algorithms
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Algorithms Visual Acuity Retrospective Studies Predictive Value of Tests Humans Female Area Under Curve Male Diagnosis, Computer-Assisted Middle Aged Reproducibility of Results Deep Learning Sensitivity and Specificity ROC Curve Wet Macular Degeneration Fundus Oculi Photography Ophthalmologists False Positive Reactions Choroidal Neovascularization Fluorescein Angiography
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Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.

International journal of molecular sciences Jul 25, 2019
Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology and pathogenesis. Most previous methods focus on integrating similarities and associating information contained in heterogeneous miRNA-disease networ...
Models, Biological Computational Biology Databases, Genetic MicroRNAs Deep Learning ROC Curve Genetic Predisposition to Disease Neural Networks, Computer Algorithms Humans
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Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit.

Molecules (Basel, Switzerland) Jul 25, 2019
Predicting novel uses for drugs using their chemical, pharmacological, and indication information contributes to minimizing costs and development periods. Most previous prediction methods focused on integrating the similarity and association informat...
Models, Theoretical Drug-Related Side Effects and Adverse Reactions Humans Neural Networks, Computer Deep Learning ROC Curve Algorithms Reproducibility of Results
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Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

BMC medical informatics and decision making Jul 25, 2019
BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several gr...
Algorithms Electronic Health Records Adult Humans Natural Language Processing Registries Cigarette Smoking Information Storage and Retrieval Surveys and Questionnaires Lung Neoplasms Early Detection of Cancer Medical Records Systems, Computerized
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Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

Artificial intelligence in medicine Jul 25, 2019
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born...
Apnea Neural Networks, Computer Algorithms Humans India Support Vector Machine Decision Trees Infant, Newborn Infant, Extremely Premature Deep Learning Infant, Premature Gestational Age Intensive Care Units, Neonatal Birth Weight Clinical Decision Rules Heart Rate Datasets as Topic
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On how to not misuse hierarchical clustering on principal components to define clinically meaningful patient subgroups. Response to: 'On using machine learning algorithms to define clinical meaningful patient subgroups' by Pinal-Fernandez and Mammen.

Annals of the rheumatic diseases Jul 24, 2019
Algorithms Humans Cluster Analysis Machine Learning
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