AIMC Topic: Case-Control Studies
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Association between phthalate exposure and accelerated bone maturation in Chinese girls with early puberty onset: a propensity score-matched case-control analysis.
Scientific reports
Sep 7, 2022
Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-mimicking effects. We investigated whether PAEs are associated with the acceleration of bone age (BA) in girls with early onset of puberty (EOP). This ...
Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.
Journal of voice : official journal of the Voice Foundation
Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Speech Production Measurement
Voice Quality
Feedforward Neural Networks
Sound Spectrography
Speech Acoustics
Voice Disorders
Male
Middle Aged
Case-Control Studies
Signal Processing, Computer-Assisted
Acoustics
Adolescent
Aged
Predictive Value of Tests
Humans
Algorithms
Young Adult
Neural Networks, Computer
Female
Adult
Reproducibility of Results
How are Patients Describing You Online? A Natural Language Processing Driven Sentiment Analysis of Online Reviews on CSRS Surgeons.
Clinical spine surgery
Aug 10, 2022
STUDY DESIGN: A quantitative analysis of written, online reviews of Cervical Spine Research Society (CSRS) surgeons.
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.
International journal of neural systems
Aug 9, 2022
Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis and intervention. To explore brain differences in ASD and typical development (TD) individuals by detecting structural features using T1-weighted magnet...
Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case-control study.
BMC gastroenterology
Jul 25, 2022
BACKGROUND AND AIMS: Chronic atrophic gastritis (CAG) is a precancerous disease that often leads to the development of gastric cancer (GC) and is positively correlated with GC morbidity. However, the sensitivity of the endoscopic diagnosis of CAG is ...
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.
Sensors (Basel, Switzerland)
Jun 7, 2022
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. In Qatar, there is a lac...
Detection of ankle fractures using deep learning algorithms.
Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
May 26, 2022
BACKGROUND: Early and accurate detection of ankle fractures are crucial for optimizing treatment and thus reducing future complications. Radiographs are the most abundant imaging techniques for assessing fractures. Deep learning (DL) methods, through...
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative.
Arthritis care & research
Apr 1, 2022
OBJECTIVE: To study the longitudinal performance of fully automated cartilage segmentation in knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in progressor knees from the Foundation for the National Institutes of H...
Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 1, 2022
Biomedical interaction networks have incredible potential to be useful in the prediction of biologically meaningful interactions, identification of network biomarkers of disease, and the discovery of putative drug targets. Recently, graph neural netw...
A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.
Computational and mathematical methods in medicine
Mar 4, 2022
This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day mortality of patients hospitalized with community-acquired pneumonia (CAP). A total of 1,210 eligible CAP cases from Chifeng Municipal Hospital were ...
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