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Normalization of photoplethysmography using deep neural networks for individual and group comparison.

Scientific reports Feb 24, 2022
Photoplethysmography (PPG) is easy to measure and provides important parameters related to heart rate and arrhythmia. However, automated PPG methods have not been developed because of their susceptibility to motion artifacts and differences in wavefo...
Humans Neural Networks, Computer Female Adult Male Photoplethysmography Signal Processing, Computer-Assisted Motion Heart Rate
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Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks.

Scientific reports Feb 24, 2022
In radiation oncology, predicting patient risk stratification allows specialization of therapy intensification as well as selecting between systemic and regional treatments, all of which helps to improve patient outcome and quality of life. Deep lear...
Female Carcinoma, Squamous Cell Aged Aged, 80 and over Adult Humans Neural Networks, Computer Prognosis Retrospective Studies Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Biomarkers, Tumor Male Middle Aged Quality of Life Neoplasm Recurrence, Local Attention
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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Adult Male Middle Aged Case-Control Studies Humans Adolescent Klatskin Tumor Computational Biology Neural Networks, Computer Cholangitis Female Magnetic Resonance Imaging Aged Machine Learning Liver Aged, 80 and over Retrospective Studies Bile Duct Neoplasms Young Adult
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Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.

Scientific reports Feb 23, 2022
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such individuals are scarce. This has led to increasing interest in the developmen...
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Adult Autism Spectrum Disorder Male Brain Humans Adolescent ROC Curve Female Machine Learning Child Reproducibility of Results Magnetic Resonance Imaging Young Adult Neuroimaging Models, Psychological
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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...
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Genomics Signal Transduction Colitis, Ulcerative Anti-Inflammatory Agents, Non-Steroidal Crohn Disease Drug Evaluation, Preclinical Pyrazoles Phenylurea Compounds Naphthalenes Adult Male Middle Aged Humans Transcriptome Precision Medicine Machine Learning Adolescent Female Prednisolone Tumor Necrosis Factor-alpha Aged Mesalamine Young Adult
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Expressions of anger during advising on life dilemmas predict suicide risk among college students.

PsyCh journal Feb 22, 2022
Research has demonstrated a relationship between anger and suicidality, while real-time authentic emotions behind facial expressions could be detected during advising hypothetical protagonists in life dilemmas. This study aimed to investigate the pre...
Adult Students Suicide, Attempted Suicidal Ideation Anger Humans Artificial Intelligence
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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...
Biomechanical Phenomena Male Gait Running Athletes Humans Neural Networks, Computer Machine Learning Young Adult Pattern Recognition, Automated Adult Gait Analysis Athletic Injuries
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Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis.

PloS one Feb 22, 2022
Characteristics of patients at risk of developing severe forms of COVID-19 disease have been widely described, but very few studies describe their evolution through the following waves. Data was collected retrospectively from a prospectively maintain...
COVID-19 Hospitalization Prospective Studies Aged Humans Female Aged, 80 and over Middle Aged Machine Learning Adult SARS-CoV-2 Models, Biological Male Risk Factors Paris
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Body fat prediction through feature extraction based on anthropometric and laboratory measurements.

PloS one Feb 22, 2022
Obesity, associated with having excess body fat, is a critical public health problem that can cause serious diseases. Although a range of techniques for body fat estimation have been developed to assess obesity, these typically involve high-cost test...
Factor Analysis, Statistical Body Composition Body Weight Datasets as Topic Skinfold Thickness Adult Male Obesity Adipose Tissue Humans Machine Learning
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COVID-19 IgG/IgM patterns, early IL-6 elevation and long-term radiological sequelae in 75 patients hospitalized due to interstitial pneumonia followed up from 3 to 12 months.

PloS one Feb 22, 2022
BACKGROUND: COVID-19 pandemic resulted in about 165 million infections and 3.4 million deaths all over the world across 15 months. The most severe clinical presentation of COVID-19 diseases is interstitial pneumonia.
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Male Immunoglobulin M Humans Antibodies, Viral COVID-19 Tomography, X-Ray Computed Follow-Up Studies Interleukin-6 COVID-19 Drug Treatment Female Immunoglobulin G SARS-CoV-2 Hospitalization Adult
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