AIMC Topic: Algorithms

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Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Heart rate variability (HRV) can reflect the relationship between heart rhythm and sleep structure.
Biomarkers Humans Support Vector Machine Computer Simulation Algorithms Heart Rate Electrocardiography Sleep Stages
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sEMG-angle estimation using feature engineering techniques for least square support vector machine.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
In the practical implementation of control of electromyography (sEMG) driven devices, algorithms should recognize the human's motion from sEMG with fast speed and high accuracy. This study proposes two feature engineering (FE) techniques, namely, fea...
Support Vector Machine Least-Squares Analysis Electromyography Young Adult Humans Adult Neural Networks, Computer Algorithms
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Artificial intelligence in service of medicine.

Bratislavske lekarske listy Jan 1, 2019
The race to make the dream of artificial intelligence a reality comes parallel with the increasing struggle of health care systems to cope with information overload and translational pressure. It is clear that a shift in the way data is generated req...
Medicine Neural Networks, Computer Artificial Intelligence Algorithms
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Engineering Bias in AI.

IEEE pulse Jan 1, 2019
After working at Apple designing circuits and signal processing algorithms for products including the first iPad, Timnit Gebru (Figure 1) received her Ph.D. from the Stanford Artificial Intelligence Laboratory in the area of computer vision. She rece...
Humans Ethics, Research Artificial Intelligence Bias Data Mining Algorithms Databases, Factual
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Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Accurately estimating performance accuracy of machine learning classifiers is of fundamental importance in biomedical research with potentially societal consequences upon the deployment of bestperforming tools in everyday life. Although classificatio...
Humans Machine Learning Algorithms Computer Simulation Computational Biology Models, Statistical Classification
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Markov Chains Unified Medical Language System Genetic Association Studies Computational Biology Databases, Genetic PubMed Decision Support Techniques Knowledge Bases Reproducibility of Results Humans Data Mining Deep Learning Algorithms
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Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Noncoding single nucleotide polymorphisms (SNPs) and their target genes are important components of the heritability of diseases and other polygenic traits. Identifying these SNPs and target genes could potentially reveal new molecular mechanisms and...
Molecular Sequence Annotation Databases, Nucleic Acid Deep Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Models, Genetic Sequence Analysis, DNA Humans Neural Networks, Computer Algorithms
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DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Protein domain boundary prediction is usually an early step to understand protein function and structure. Most of the current computational domain boundary prediction methods suffer from low accuracy and limitation in handling multi-domain types, or ...
Algorithms Deep Learning Computational Biology Neural Networks, Computer Databases, Protein Protein Domains Amino Acid Sequence
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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Electronic phenotyping is the task of ascertaining whether an individual has a medical condition of interest by analyzing their medical record and is foundational in clinical informatics. Increasingly, electronic phenotyping is performed via supervis...
Humans Neural Networks, Computer Machine Learning Databases, Factual Electronic Health Records Computational Biology Algorithms Deep Learning Logistic Models Phenotype Medical Informatics
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Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society Jan 1, 2019
PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, parti...
Male Middle Aged Risk Assessment Retrospective Studies Female Humans Adult Machine Learning Internet Algorithms Software Design Surveys and Questionnaires Physical Examination Nurses Wound Healing
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