AIMC Topic: Female

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Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis.

Rheumatology (Oxford, England) Dec 1, 2021
Neural Networks, Computer Female Adult Humans Male Magnetic Resonance Imaging Sacroiliac Joint Sacroiliitis Axial Spondyloarthritis
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Individual versus Group Calibration of Machine Learning Models for Physical Activity Assessment Using Body-Worn Accelerometers.

Medicine and science in sports and exercise Dec 1, 2021
PURPOSE: We sought to determine if individually calibrated machine learning models yielded higher accuracy than a group calibration approach for physical activity intensity assessment.
Accelerometry Humans Adult Machine Learning Male Middle Aged Female Exercise Aged Young Adult
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Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging.

Investigative radiology Dec 1, 2021
OBJECTIVES: Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blurring; however, it exacerbates noise and introduces severe artifacts due to undersampling. Deep neural networks can remove artifacts and noise but usu...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Humans Artifacts Retrospective Studies Respiration Female
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Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

Cornea Dec 1, 2021
PURPOSE: The purpose of this article was to develop and validate a natural language processing (NLP) algorithm to extract qualitative descriptors of microbial keratitis (MK) from electronic health records.
Humans Algorithms Retrospective Studies Middle Aged Electronic Health Records Follow-Up Studies Female Natural Language Processing Male Eye Infections, Bacterial Keratitis
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Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

American journal of epidemiology Dec 1, 2021
Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts might offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Dani...
Denmark Registries Sociodemographic Factors Emigrants and Immigrants Middle Aged Suicide, Attempted Adolescent Health Status Humans Machine Learning Adult Risk Factors Mental Disorders Mental Health Female Male Young Adult
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Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

Annals of medicine Dec 1, 2021
OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.
Adult Male Cardiovascular Diseases Middle Aged SARS-CoV-2 Hospitalization Aged Aged, 80 and over Hypertension Diabetes Mellitus C-Reactive Protein Ferritins L-Lactate Dehydrogenase Comorbidity Severity of Illness Index China Cohort Studies Humans Machine Learning COVID-19 Interleukin-10 Prognosis Retrospective Studies Female Reproducibility of Results Clinical Decision Rules
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Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

Annals of surgery Dec 1, 2021
OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induced coagulopathy (TIC), to support early therapeutic decision-making.
London Trauma Severity Indices Male Female Middle Aged Humans Predictive Value of Tests Supervised Machine Learning Aged Risk Assessment Prospective Studies Bayes Theorem Blood Coagulation Disorders Adolescent Clinical Decision-Making Aged, 80 and over Wounds and Injuries Adult
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Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study.

Annals of surgery Dec 1, 2021
OBJECTIVE: We aimed to develop a deep learning-based signature to predict prognosis and benefit from adjuvant chemotherapy using preoperative computed tomography (CT) images.
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Prognosis Nomograms Predictive Value of Tests Neoplasm Staging Disease-Free Survival Chemotherapy, Adjuvant Stomach Neoplasms Male Middle Aged Deep Learning
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Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.

Studies in health technology and informatics Nov 18, 2021
Using guideline-based clinical decision support systems (CDSSs) has improved clinical practice, especially during multidisciplinary tumour boards (MTBs) in cancer patient management. However, MTBs have been reported to be overcrowded, with limited ti...
Breast Neoplasms Deep Learning Humans Decision Support Systems, Clinical Neural Networks, Computer Machine Learning Female
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Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

The Journal of clinical investigation Nov 15, 2021
Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that cause or may cause serious health effects. Although individual air toxics have been associated with asthma, only a limited number of studies have specif...
Acrylates Hydroquinones Ethyl Chloride Humans Machine Learning Male Female Adolescent Risk Factors Child Asthma Air Pollutants
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