AIMC Topic: Reproducibility of Results

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Experimental validation of robot-assisted cardiovascular catheterization: model-based versus model-free control.

International journal of computer assisted radiology and surgery Apr 2, 2018
PURPOSE: In cardiac electrophysiology, a long and flexible catheter is delivered to a cardiac chamber for the treatment of arrhythmias. Although several robot-assisted platforms have been commercialized, the disorientation in tele-operation is still ...
Female Reproducibility of Results Young Adult Adult Humans Surgery, Computer-Assisted Arrhythmias, Cardiac Catheter Ablation Cardiac Catheterization Cardiac Catheters Male Models, Theoretical Printing, Three-Dimensional Robotics
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Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models.

PloS one Apr 2, 2018
Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city-São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in ...
Seasons Reproducibility of Results Humans Dengue Brazil Neural Networks, Computer Models, Statistical Algorithms Population Surveillance Forecasting
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Abnormal brain structure as a potential biomarker for venous erectile dysfunction: evidence from multimodal MRI and machine learning.

European radiology Mar 29, 2018
OBJECTIVES: To investigate the cerebral structural changes related to venous erectile dysfunction (VED) and the relationship of these changes to clinical symptoms and disorder duration and distinguish patients with VED from healthy controls using a m...
Humans Machine Learning Multimodal Imaging Brain Diseases Sensitivity and Specificity Erectile Dysfunction Biomarkers Male Diffusion Tensor Imaging Brain Magnetic Resonance Imaging Reproducibility of Results Brain Mapping Adult
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Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.

Radiology Mar 27, 2018
Purpose To analyze how automatic segmentation translates in accuracy and precision to morphology and relaxometry compared with manual segmentation and increases the speed and accuracy of the work flow that uses quantitative magnetic resonance (MR) im...
Magnetic Resonance Imaging Knee Joint Joint Diseases Retrospective Studies Male Aged Cartilage, Articular Middle Aged Aged, 80 and over Adolescent Meniscus Young Adult Image Processing, Computer-Assisted Adult Female Reproducibility of Results Humans Neural Networks, Computer
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Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.

Scientific reports Mar 23, 2018
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis - the ontolo...
Gene Ontology Models, Genetic Databases, Genetic Evolution, Molecular Molecular Sequence Annotation Humans Reproducibility of Results Computational Biology
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Automated ICD-9 Coding via A Deep Learning Approach.

IEEE/ACM transactions on computational biology and bioinformatics Mar 20, 2018
ICD-9 (the Ninth Revision of International Classification of Diseases) is widely used to describe a patient's diagnosis. Accurate automated ICD-9 coding is important because manual coding is expensive, time-consuming, and inefficient. Inspired by the...
Biomimetics Medical Informatics International Classification of Diseases Humans Clinical Coding Algorithms Neural Networks, Computer Electronic Health Records Reproducibility of Results Deep Learning
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Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

Journal of voice : official journal of the Voice Foundation Mar 19, 2018
OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learn...
Humans Retrospective Studies Female Reproducibility of Results Speech Production Measurement Voice Quality Dysphonia Male Pilot Projects Acoustics Aged Middle Aged Support Vector Machine Aged, 80 and over Sound Spectrography Diagnosis, Computer-Assisted Predictive Value of Tests Young Adult Speech Acoustics Signal Processing, Computer-Assisted Deep Learning Adult Vocal Cords
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ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer Therapy.

IEEE/ACM transactions on computational biology and bioinformatics Mar 16, 2018
Existing drug discovery processes follow a reductionist model of "one-drug-one-gene-one-disease," which is inadequate to tackle complex diseases involving multiple malfunctioned genes. The availability of big omics data offers opportunities to transf...
Cell Line, Tumor Computational Biology Cell Survival Drug Repositioning Data Mining Diazoxide Software Algorithms Reproducibility of Results Antineoplastic Agents Humans Machine Learning
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Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies.

IEEE/ACM transactions on computational biology and bioinformatics Mar 15, 2018
Sigma factor, as a unit of RNA polymerase holoenzyme, is a critical factor in the process of gene transcriptional regulation. It recognizes the specific DNA sites and brings the core enzyme of RNA polymerase to the upstream regions of target genes. T...
Machine Learning Software Reproducibility of Results Computational Biology DNA-Directed RNA Polymerases RNA Polymerase Sigma 54 False Positive Reactions Escherichia coli Transcription, Genetic Promoter Regions, Genetic Models, Statistical Genome, Bacterial Escherichia coli Proteins Amino Acid Motifs Base Sequence
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Using machine learning and quantum chemistry descriptors to predict the toxicity of ionic liquids.

Journal of hazardous materials Mar 15, 2018
Large-scale application of ionic liquids (ILs) hinges on the advancement of designable and eco-friendly nature. Research of the potential toxicity of ILs towards different organisms and trophic levels is insufficient. Quantitative structure-activity ...
Machine Learning Reproducibility of Results Animals Quantitative Structure-Activity Relationship Cell Line, Tumor Rats Models, Theoretical Ionic Liquids
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