AIMC Topic: Female

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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Organ Dysfunction Scores Humans Hospitals, Urban Machine Learning Retrospective Studies Female Severity of Illness Index Sepsis Early Diagnosis Lactic Acid Aged Sensitivity and Specificity Male Middle Aged
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Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life.

BMC medical informatics and decision making Jan 17, 2019
BACKGROUND: This paper suggests a method to assess the extent to which ultra-short Heart Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of short HRV features (nominally 5 min). Short term HRV analysis has been...
Stress, Psychological Models, Theoretical Electrocardiography Feasibility Studies Heart Rate Female Young Adult Adult Male Humans Machine Learning
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Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.

Journal of magnetic resonance imaging : JMRI Jan 16, 2019
BACKGROUND: Preliminary work has demonstrated that background parenchymal enhancement (BPE) assessed by radiologists is predictive of future breast cancer in women undergoing high-risk screening MRI. Algorithmically assessed measures of BPE offer a m...
Image Interpretation, Computer-Assisted Case-Control Studies Magnetic Resonance Imaging Predictive Value of Tests Breast Aged Humans Adult Machine Learning Breast Neoplasms Algorithms Female Middle Aged
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Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia.

Computers in biology and medicine Jan 16, 2019
Gait classification has been widely used for children with cerebral palsy (CP) to assist with clinical decision making and to evaluate different treatment outcomes. The aim of this study was to evaluate supervised machine learning algorithms in the c...
Cerebral Palsy Humans Neural Networks, Computer Female Male Child Support Vector Machine Decision Trees Gait
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A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier.

Forensic science, medicine, and pathology Jan 16, 2019
Single nucleotide polymorphism (SNP) profiling is an effective means of individual identification and ancestry inferences in forensic genetics. This study established a SNP panel for the simultaneous individual identification and ancestry assignment ...
Humans Machine Learning Genotype Support Vector Machine DNA, Mitochondrial Asian People Retrospective Studies Female Male Polymorphism, Single Nucleotide Genetics, Population DNA Fingerprinting Chromosomes, Human, X DNA Degradation, Necrotic White People Gene Frequency Asia Chromosomes, Human, Y
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Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion.

Medical physics Jan 16, 2019
PURPOSE: We propose a deep learning-based approach to breast mass classification in sonography and compare it with the assessment of four experienced radiologists employing breast imaging reporting and data system 4th edition lexicon and assessment p...
Humans Female Young Adult Ultrasonography ROC Curve Adult Image Processing, Computer-Assisted Breast Neoplasms Color Deep Learning Adolescent
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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.

International journal of environmental research and public health Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
Humans Female Adult Demography Physical Examination ROC Curve Sensitivity and Specificity Radiography Male Tuberculosis, Pulmonary Middle Aged Occupational Health Deep Learning
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Adapting myoelectric control in real-time using a virtual environment.

Journal of neuroengineering and rehabilitation Jan 16, 2019
BACKGROUND: Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, a...
Movement Virtual Reality Electromyography Artificial Limbs Pattern Recognition, Automated Humans Machine Learning Female Young Adult Adult Male
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Psychopathology Psychology, Child Models, Statistical Signal Processing, Computer-Assisted Supervised Machine Learning Affect Male Anxiety Depression Wearable Electronic Devices Child, Preschool Child ROC Curve Logistic Models Humans Female Sensitivity and Specificity
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Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.

Computers in biology and medicine Jan 15, 2019
HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often subclinical, course of HAND has rendered diagnosis, which currently depends on neuropsychometric (NP)...
Humans HIV Infections Adult Brain Support Vector Machine Female Male Magnetic Resonance Imaging Middle Aged Neurocognitive Disorders Diagnosis, Computer-Assisted
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