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Biometry

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Adaptive Batch Mode Active Learning.

IEEE transactions on neural networks and learning systems Sep 29, 2014
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative ins...
Neural Networks, Computer Machine Learning Algorithms Biometry Problem-Based Learning
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Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Sensitivity and Specificity Humans Biometry Hand Artificial Intelligence Movement Pattern Recognition, Automated Algorithms Handwriting Task Performance and Analysis Reproducibility of Results
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Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery May 1, 2025
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.
Young Adult Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Random Allocation Myopia Biometry Anterior Eye Segment Visual Acuity Lens Implantation, Intraocular Tomography, Optical Coherence Phakic Intraocular Lenses Datasets as Topic
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Biometrics Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Algorithms Computer Simulation Precision Medicine Intensive Care Units Humans Neural Networks, Computer Bayes Theorem Markov Chains Organ Dysfunction Scores Monte Carlo Method Length of Stay Sepsis Treatment Outcome Models, Statistical Biometry Statistics, Nonparametric
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Prediction of vaults in eyes with vertical implantable collamer lens implantation.

Journal of cataract and refractive surgery Jan 1, 2025
PURPOSE: To design formulas for predicting postoperative vaults in vertical implantable collamer lens (ICL) implantation and to achieve more precise predictions using machine learning models.
Male Retrospective Studies Visual Acuity Humans Female Middle Aged Biometry Machine Learning Young Adult Refraction, Ocular Lens Implantation, Intraocular Phakic Intraocular Lenses Adult Myopia
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Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.

JAMA Aug 27, 2024
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...
Crown-Rump Length Prospective Studies Zambia Humans Pregnancy Point-of-Care Systems Pregnancy Trimester, First Artificial Intelligence Female Gestational Age Ultrasonography, Prenatal Software Adult Biometry
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Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology Aug 1, 2024
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.
Refraction, Ocular Myopia Refractive Errors Prevalence China Adolescent Child, Preschool Child Female Cross-Sectional Studies Male Students Mydriatics ROC Curve East Asian People Humans Area Under Curve Machine Learning Biometry
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Predicting intraocular lens tilt using a machine learning concept.

Journal of cataract and refractive surgery Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Lens Implantation, Intraocular Artificial Lens Implant Migration Middle Aged Refraction, Ocular Lenses, Intraocular Visual Acuity Tomography, Optical Coherence Phacoemulsification Biometry Pseudophakia Prospective Studies Female Aged Male Humans Machine Learning
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Ocular Biometric Components in Hyperopic Children and a Machine Learning-Based Model to Predict Axial Length.

Translational vision science & technology May 1, 2024
PURPOSE: The purpose of this study was to investigate the development of optical biometric components in children with hyperopia, and apply a machine-learning model to predict axial length.
Axial Length, Eye Hyperopia Humans Machine Learning Child, Preschool Female Child Cornea Biometry Male Anterior Chamber Refraction, Ocular
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Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.

Journal of the American Medical Informatics Association : JAMIA Apr 3, 2024
OBJECTIVE: Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). However, traditional supervised learning is limited by the need for large amounts of labeled data. We report the development of Biometric Contrast...
Atrial Fibrillation Biometry Humans Artificial Intelligence Deep Learning Electrocardiography
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