AIMC Topic: Humans

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A Semi-Automatic Annotation Approach for Human Activity Recognition.

Sensors (Basel, Switzerland) Jan 25, 2019
Modern smartphones and wearables often contain multiple embedded sensors which generate significant amounts of data. This information can be used for body monitoring-based areas such as healthcare, indoor location, user-adaptive recommendations and t...
Activities of Daily Living Human Activities Humans Machine Learning Algorithms Supervised Machine Learning
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Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Current atherosclerosis reports Jan 25, 2019
PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a ...
Arthritis, Rheumatoid Inflammation Tomography, Optical Coherence Plaque, Atherosclerotic Carotid Artery Diseases Atherosclerosis Carotid Arteries Risk Factors Risk Assessment Deep Learning Ultrasonography Humans
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Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier.

Breast cancer research : BCR Jan 25, 2019
BACKGROUND: BRCA1-mutated cancers exhibit deficient homologous recombination (HR) DNA repair, resulting in extensive copy number alterations and genome instability. HR deficiency can also arise in tumors without a BRCA1 mutation. Compared with other ...
BRCA1 Protein Homologous Recombination Promoter Regions, Genetic Receptors, Estrogen Receptors, Progesterone Support Vector Machine DNA Methylation DNA Copy Number Variations Middle Aged Adult Humans Datasets as Topic Epigenomics CpG Islands Breast Female Breast Neoplasms Survival Analysis Aged
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Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study.

PloS one Jan 25, 2019
A recurrent criticism concerning the use of online social media data in political science research is the lack of demographic information about social media users. By employing a face-recognition algorithm to the profile pictures of Facebook users, t...
European Union Female Adult Male Social Media United Kingdom Deep Learning Image Processing, Computer-Assisted Humans
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Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila.

PloS one Jan 25, 2019
Type IV secretion systems exist in a number of bacterial pathogens and are used to secrete effector proteins directly into host cells in order to change their environment making the environment hospitable for the bacteria. In recent years, several ma...
Support Vector Machine Bacterial Proteins Virulence Factors Legionella pneumophila Humans Models, Genetic Legionnaires' Disease Type IV Secretion Systems
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tRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results.

Human heredity Jan 25, 2019
BACKGROUND: tRNAscan-SE is the leading tool for transfer RNA (tRNA) annotation, which has been widely used in the field. However, tRNAscan-SE can return a significant number of false positives when applied to large sequences. Recently, conventional m...
Models, Theoretical Area Under Curve Algorithms RNA, Transfer Humans Deep Learning ROC Curve Neural Networks, Computer Software
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Defining and discriminating responders from non-responders following transurethral resection of the prostate.

Scandinavian journal of urology Jan 25, 2019
BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatment for lower urinary tract symptoms (LUTS) related to benign prostatic enlargement. The aim of this study was to investigate the response rate follow...
Prostatic Hyperplasia Transurethral Resection of Prostate Male Multivariate Analysis Humans Lower Urinary Tract Symptoms Treatment Failure Length of Stay Middle Aged Aged Urinary Catheterization Logistic Models Urinary Retention Treatment Outcome
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Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis.

Genetics in medicine : official journal of the American College of Medical Genetics Jan 24, 2019
PURPOSE: Despite the successful progress next-generation sequencing technologies has achieved in diagnosing the genetic cause of rare Mendelian diseases, the current diagnostic rate is still far from satisfactory because of heterogeneity, imprecision...
High-Throughput Nucleotide Sequencing Rare Diseases Exome Phenotype Genomics Humans Genotype Machine Learning Genetic Testing Software Computational Biology Genetic Variation Mutation
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Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets.

Journal of chemical information and modeling Jan 24, 2019
Successful drug discovery projects require control and optimization of compound properties related to pharmacokinetics, pharmacodynamics, and safety. While volume and chemotype coverage of public and corporate ADME-Tox (absorption, distribution, excr...
Humans Neural Networks, Computer Drug Design Models, Biological Models, Statistical Caco-2 Cells Permeability Models, Molecular Quantitative Structure-Activity Relationship Pharmaceutical Preparations Databases, Pharmaceutical
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Stereotactic brain biopsy: evaluation of robot-assisted procedure in 60 patients.

Acta neurochirurgica Jan 24, 2019
BACKGROUND: Frameless stereotactic biopsies, particularly robot-assisted procedures are increasing in neurosurgery centers. Results of these procedures should be at least equal to or greater than frame-based reference procedure. Evaluate robot-assist...
Female Adult Brain Neoplasms Male Humans Stereotaxic Techniques Middle Aged Postoperative Complications Robotics
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