AIMC Topic: Young Adult

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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.

PloS one Feb 23, 2022
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and en...
Phenylurea Compounds Humans Naphthalenes Machine Learning Prednisolone Tumor Necrosis Factor-alpha Mesalamine Colitis, Ulcerative Anti-Inflammatory Agents, Non-Steroidal Crohn Disease Male Drug Evaluation, Preclinical Precision Medicine Middle Aged Pyrazoles Female Adolescent Transcriptome Aged Genomics Young Adult Signal Transduction Adult
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Explaining the differences of gait patterns between high and low-mileage runners with machine learning.

Scientific reports Feb 22, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running mil...
Neural Networks, Computer Machine Learning Young Adult Adult Biomechanical Phenomena Male Gait Running Athletes Pattern Recognition, Automated Humans Gait Analysis Athletic Injuries
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Effect of tourniquet use on blood loss, pain, functional recovery, and complications in robot-assisted total knee arthroplasty: a prospective, double-blinded, randomized controlled trial.

Journal of orthopaedic surgery and research Feb 21, 2022
BACKGROUND: Robot-assisted total knee arthroplasty (TKA) has been largely studied to confirm its advantages in terms of accurate component positioning, microembolus formation, less blood loss, and so on, but is currently usually performed under tourn...
Tourniquets Middle Aged Postoperative Complications Adolescent Blood Loss, Surgical Recovery of Function Aged Range of Motion, Articular Humans Aged, 80 and over Arthroplasty, Replacement, Knee Prospective Studies Young Adult Postoperative Period Female Adult Male Robotics Double-Blind Method Pain, Postoperative
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Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Unhealthy alcohol use represents a major economic burden and cause of morbidity and mortality in the United States. Implementation of interventions for unhealthy alcohol use depends on the availability and accuracy of screening tools. Our group previ...
Adolescent United States Inpatients Natural Language Processing Hispanic or Latino Humans Machine Learning Algorithms Young Adult Adult
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An EEG Classification-Based Method for Single-Trial N170 Latency Detection and Estimation.

Computational and mathematical methods in medicine Feb 18, 2022
Event-related potentials (ERPs) can reflect the high-level thinking activities of the brain. In ERP analysis, the superposition and averaging method is often used to estimate ERPs. However, the single-trial ERP estimation can provide researchers with...
Signal-To-Noise Ratio Evoked Potentials Humans Support Vector Machine Neural Networks, Computer Models, Neurological Brain Electroencephalography Computer Simulation Young Adult Signal Processing, Computer-Assisted Female Adult Linear Models Male Computational Biology Logistic Models
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Mental speed is high until age 60 as revealed by analysis of over a million participants.

Nature human behaviour Feb 17, 2022
Response speeds in simple decision-making tasks begin to decline from early and middle adulthood. However, response times are not pure measures of mental speed but instead represent the sum of multiple processes. Here we apply a Bayesian diffusion mo...
Cross-Sectional Studies Middle Aged Bayes Theorem Reaction Time Humans Neural Networks, Computer Young Adult Adult
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Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

BMJ (Clinical research ed.) Feb 17, 2022
OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for mode...
Hospitals Adolescent ROC Curve Predictive Value of Tests Area Under Curve Young Adult Adult Male Middle Aged Risk Assessment Linear Models Clinical Deterioration Clinical Decision Rules Machine Learning COVID-19 Prognosis Retrospective Studies Electronic Health Records Female SARS-CoV-2 Hospitalization Aged Aged, 80 and over Humans
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Anatomical Partition-Based Deep Learning: An Automatic Nasopharyngeal MRI Recognition Scheme.

Journal of magnetic resonance imaging : JMRI Feb 14, 2022
BACKGROUND: Training deep learning (DL) models to automatically recognize diseases in nasopharyngeal MRI is a challenging task, and optimizing the performance of DL models is difficult.
Humans Retrospective Studies Female Aged Deep Learning Adolescent Aged, 80 and over Magnetic Resonance Imaging Image Processing, Computer-Assisted Young Adult Nasopharynx Adult Nasopharyngeal Diseases Male Middle Aged
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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography.

Scientific reports Feb 14, 2022
Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography is the most common dental imaging test. The purposes of this study were t...
Female Aged Young Adult Adult Male Middle Aged Humans Clinical Decision-Making Mandibular Nerve Deep Learning Tooth Extraction Molar, Third Data Accuracy Cone-Beam Computed Tomography Mandibular Nerve Injuries Mandible Radiography, Panoramic
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A machine learning-based on-demand sweat glucose reporting platform.

Scientific reports Feb 14, 2022
Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and altering carbohydrate metabolism. It is a leading cause of morbidity, resulting in a reduced quality of life even in developed societies, primarily affected...
Eccrine Glands Supervised Machine Learning Healthy Volunteers Blood Glucose Self-Monitoring Dielectric Spectroscopy Sweat Biomarkers Young Adult Adult Adolescent Wearable Electronic Devices Blood Glucose Humans Cohort Studies Biosensing Techniques Diabetes Mellitus Electrochemical Techniques
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