AIMC Topic: Young Adult

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Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.

PloS one Apr 15, 2019
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and to the human health of the once living. Microbiome sequencing produces, in general, large multi-dimensional datasets that can be difficult to analyze ...
Female Cross-Sectional Studies Male High-Throughput Nucleotide Sequencing Aged Humans Middle Aged Aged, 80 and over Postmortem Changes Machine Learning Adolescent Young Adult Datasets as Topic Time Factors Adult DNA, Archaeal DNA, Bacterial RNA, Ribosomal, 16S Sequence Analysis, DNA Microbiota Autopsy
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Hypercomplex extreme learning machine with its application in multispectral palmprint recognition.

PloS one Apr 15, 2019
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest d...
Humans Adult Male Pattern Recognition, Automated Neural Networks, Computer Middle Aged Dermatoglyphics Machine Learning Algorithms Female Young Adult
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Duplicate portion sampling gives the most accurate iron intake estimate: Implications for iron status of female students.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition Apr 15, 2019
Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecting primarily women of childbearing age. Poor dietary iron intake is a major reason of ID. Accurate measurement of iron intake is of crucial importance...
Humans Students Female Nutritional Status Young Adult Iron, Dietary Adult Diet
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Development and validation of a questionnaire to assess public receptivity toward autonomous vehicles and its relation with the traffic safety climate in China.

Accident; analysis and prevention Apr 12, 2019
The advent of autonomous vehicles (AVs) has gained increasing attention in China. Although auto manufacturers and innovators have attempted to confirm that AVs are safe and have introduced them on public roads, it is vital to understand end-users' ac...
Automobile Driving Attitude Organizational Culture Middle Aged China Humans Surveys and Questionnaires Artificial Intelligence Factor Analysis, Statistical Reproducibility of Results Accidents, Traffic Young Adult Male
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Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)-based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC).
Nomograms Positron Emission Tomography Computed Tomography Nasopharyngeal Carcinoma Risk Factors Humans Adolescent Nasopharyngeal Neoplasms Aged Induction Chemotherapy Male Prognosis Child Young Adult Middle Aged Retrospective Studies ROC Curve Adult Deep Learning Female Survival Rate
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Neoplasm Staging Neoplasm Grading Carcinoma, Ovarian Epithelial Preoperative Care Middle Aged Humans ROC Curve Neural Networks, Computer Support Vector Machine Prognosis Ovarian Neoplasms Female Bayes Theorem Artificial Intelligence Aged Aged, 80 and over Machine Learning Young Adult Algorithms Adult Survival Rate Biomarkers, Tumor
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Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 11, 2019
The hand extension robot orthosis (HERO) glove was iteratively designed with occupational therapists and stroke survivors to enable stroke survivors with severe hand impairment to grasp and stabilize everyday objects, while being portable, lightweigh...
Hand Strength Robotics Hand Stroke Prosthesis Design Stroke Rehabilitation Self-Help Devices Movement Disorders Healthy Volunteers Psychomotor Performance Range of Motion, Articular Male Middle Aged Adolescent Wearable Electronic Devices Treatment Outcome Female Aged Aged, 80 and over Young Adult Adult Humans
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A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement.

Sensors (Basel, Switzerland) Apr 11, 2019
The further exploration of the capacitive ECG (cECG) is hindered by frequent fluctuations in signal quality from body movement and changes in sleep position. The processing framework must be fundamentally adapted to make full use of this signal. Ther...
Signal Processing, Computer-Assisted Sleep Patient Positioning Movement Supine Position Humans Adult Male Electrocardiography Neural Networks, Computer Algorithms Young Adult
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A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.

Scientific reports Apr 11, 2019
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the f...
Humans Neural Networks, Computer Algorithms Kidney Transplantation Prognosis Male Middle Aged Postoperative Complications Diagnosis, Computer-Assisted Adolescent Graft Survival Female Risk Factors Aged Young Adult Adult Diffusion Magnetic Resonance Imaging Glomerular Filtration Rate Kidney Function Tests Follow-Up Studies Graft Rejection Image Interpretation, Computer-Assisted
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Comparison and development of machine learning tools in the prediction of chronic kidney disease progression.

Journal of translational medicine Apr 11, 2019
BACKGROUND: Urinary protein quantification is critical for assessing the severity of chronic kidney disease (CKD). However, the current procedure for determining the severity of CKD is completed through evaluating 24-h urinary protein, which is incon...
Humans Machine Learning Female Reproducibility of Results Aged Disease Progression Adolescent ROC Curve Renal Insufficiency, Chronic Area Under Curve Internet Aged, 80 and over Young Adult Adult Male Middle Aged
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