AIMC Topic: Case-Control Studies

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Robot-assisted radial forearm free flap harvesting: a propensity score-matched case-control study.

Journal of robotic surgery Feb 5, 2023
Although some surgeons prefer anterolateral thigh and latissimus dorsi flap for soft tissue reconstruction in the head and neck area because it minimizes donor site complications, the radial forearm flap remains the workhorse for soft tissue reconstr...
Robotics Robotic Surgical Procedures Propensity Score Humans Free Tissue Flaps Reproducibility of Results Case-Control Studies Head and Neck Neoplasms
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A tree-based modeling approach for matched case-control studies.

Statistics in medicine Jan 11, 2023
Conditional logistic regression (CLR) is the indisputable standard method for the analysis of matched case-control studies. However, CLR is strongly restricted with respect to the inclusion of non-linear effects and interactions of confounding variab...
Machine Learning Computer Simulation Case-Control Studies Logistic Models Humans
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Deep learning of renal scans in children with antenatal hydronephrosis.

Journal of pediatric urology Jan 6, 2023
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnancies. Children with ANH are surveilled with repeated renal ultrasound and when there is high suspici...
Hydronephrosis Ureteral Obstruction Prospective Studies Retrospective Studies Female Humans Pregnancy Case-Control Studies Deep Learning Child
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Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study.

BMC ophthalmology Dec 12, 2022
BACKGROUND: To verify efficacy of automatic screening and classification of glaucoma with deep learning system.
Humans Glaucoma Retrospective Studies ROC Curve Cross-Sectional Studies Fundus Oculi Case-Control Studies Optic Disk Deep Learning
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Transfer learning for genotype-phenotype prediction using deep learning models.

BMC bioinformatics Nov 29, 2022
BACKGROUND: For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-ph...
Deep Learning Genotype Phenotype Knowledge Case-Control Studies
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Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

Journal of voice : official journal of the Voice Foundation Nov 11, 2022
OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voice...
Bayes Theorem Signal Processing, Computer-Assisted Acoustics Speech Perception Treatment Outcome Fuzzy Logic Predictive Value of Tests Voice Training Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Machine Learning Female Reproducibility of Results Young Adult Adult Middle Aged Case-Control Studies Humans
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Exactech Equinoxe anatomic versus reverse total shoulder arthroplasty for primary osteoarthritis: case controlled comparisons using the machine learning-derived Shoulder Arthroplasty Smart score.

Journal of shoulder and elbow surgery Oct 29, 2022
BACKGROUND: The role of reverse total shoulder arthroplasty (rTSA) for glenohumeral osteoarthritis (GHOA) with an intact rotator cuff remains unclear with prior investigations demonstrating similar patient-reported outcome measures (PROMs) to anatomi...
Range of Motion, Articular Patient Reported Outcome Measures Shoulder Joint Humans Arthroplasty, Replacement, Shoulder Male Machine Learning Middle Aged Case-Control Studies Osteoarthritis Retrospective Studies Female Aged
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Voice Quality Humans Neural Networks, Computer Databases, Factual Signal Processing, Computer-Assisted Speech Acoustics Acoustics Case-Control Studies Female Vocal Cord Paralysis Sound Spectrography Convolutional Neural Networks Reproducibility of Results Voice Disorders Nonlinear Dynamics Time Factors Male Speech Production Measurement Predictive Value of Tests
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A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study.

The Lancet. Digital health Sep 30, 2022
BACKGROUND: There is no simple model to screen for Alzheimer's disease, partly because the diagnosis of Alzheimer's disease itself is complex-typically involving expensive and sometimes invasive tests not commonly available outside highly specialised...
Deep Learning Humans Amyloid beta-Peptides Retrospective Studies Alzheimer Disease Case-Control Studies
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Deep-Learning-Based Representation of Vocal Fold Dynamics in Adductor Spasmodic Dysphonia during Connected Speech in High-Speed Videoendoscopy.

Journal of voice : official journal of the Voice Foundation Sep 23, 2022
OBJECTIVE: Adductor spasmodic dysphonia (AdSD) is a neurogenic dystonia, which causes spasms of the laryngeal muscles. This disorder mainly affects production of connected speech. To understand how AdSD affects vocal fold (VF) movements and hence, th...
Image Interpretation, Computer-Assisted Speech Acoustics Vocal Cords Laryngoscopy Female Humans Voice Quality Biomechanical Phenomena Deep Learning Reproducibility of Results Dysphonia Vibration Predictive Value of Tests Male Adult Speech Production Measurement Video Recording Middle Aged Phonation Case-Control Studies
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