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- A machine-learning system remotely analyzes videos of people with motor or neurological disorders, and assesses their movement in real-time. The technology could reduce the need doctor visits for patients with cerebral palsy and other disorders.
news.mit.edu/2023/pose-mapping-technique-cerebral-palsy-patients-0914 A Deep Learning Method to Predict Cerebral Palsy …
WEBJul 11, 2022 · In the deep learning–based method, a video-based infant motion tracker (step 1) constructs a skeleton sequence of 5-second (5s) windows (step 2), in which a deep learning–based prediction model …
Uncovering early predictors of cerebral palsy through the …
WEBIn recent years, there has been a growing trend toward using multivariate approaches and machine learning (ML) to study CP. 4 Studies using multivariate approaches found …
- Studies of machine learning for cerebral palsy
Uncovering early predictors of cerebral palsy through the
WEBAug 30, 2024 · This study aimed to identify the early predictors of CP using machine learning (ML). Design: This is a retrospective case-control study, using data from the …
Multivariate Analysis and Machine Learning in Cerebral Palsy …
WEBDec 20, 2017 · In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify such …
A machine learning approach to identify cases of cerebral palsy …
WEBA machine learning approach was used to identify likely cases of cerebral palsy in live births between Jan 1, 1990, and April 30, 2016, in the Clinical Practice Research …
Development and Validation of a Deep Learning Method to …
WEBJul 11, 2022 · Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine …
A pose-mapping technique could remotely evaluate …
WEBSep 14, 2023 · A machine-learning system remotely analyzes videos of people with motor or neurological disorders, and assesses their movement in real-time. The technology could reduce the need doctor visits for …
Development and Validation of a Deep Learning Method to …
WEBJul 1, 2022 · In this prognostic study, a deep learning-based method for predicting CP at 9 to 18 weeks' corrected age had predictive accuracy on external validation, which …
Multivariate Analysis and Machine Learning in Cerebral Palsy
WEBDec 21, 2017 · In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify …
WEBFirstly, we made a preliminary selection of predictor variables (medical and drug codes) by comparing their relative frequencies associated with known cases and with the …
Explainable Machine Learning in Human Gait Analysis: A Study …
WEBAbstract: This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · Three supervised learning algorithms were used to build the activity classifiers: Binary Decision Tree (BDT), Random Forest (RF), and Support Vector …
Lightweight Neural Architecture Search for Cerebral Palsy Detection
WEB4 days ago · The neurological condition known as cerebral palsy (CP) first manifests in infancy or early childhood and has a lifelong impact on motor coordination and body …
Cerebral Palsy classification based on multi-feature analysis using ...
WEBJan 1, 2023 · We evaluated the dataset using a set of five commonly used machine learning classification algorithms, namely, K-Star, Multilayer Perceptron (MLP), Naïve …
Lightweight Neural Architecture Search for Cerebral Palsy Detection
WEB5 days ago · The neurological condition known as cerebral palsy (CP) first manifests in infancy or early childhood and has a lifelong impact on motor coordination and body …
Interpreting Deep Learning based Cerebral Palsy Prediction with …
WEBJun 8, 2021 · In this paper, we propose a channel attention module for deep learning models to predict cerebral palsy from infants' body movements, which highlights the …
Machine learning applied to gait analysis data in cerebral palsy …
WEBJun 1, 2024 · The literature offers numerous machine learning methods for clustering gait data from cerebral palsy and stroke patients. However, the clinical significance of the …
Machine learning for monitoring and evaluating physical
WEBDev Med Child Neurol. 2020 Sep;62 (9):1010. doi: 10.1111/dmcn.14596. Epub 2020 Jun 16. 1 Department of Physical Therapy & Neuroscience, Florida International University, …
Measuring functional hand use in children with unilateral cerebral ...
WEBMar 2, 2024 · Machine learning was compared to the conventional activity count approach for identifying unilateral hand movements as functional or non-functional. Correlation and …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · In summary, machine learning classifiers trained on accelerometer features from the wrist, hip and combined hip and wrist can be used to detect PA type in …
Machine learning for monitoring and evaluating physical activity in ...
WEBJun 16, 2020 · This commentary is on the original article by Goodlich et al. on pages 1054–1060 of this issue.
Deep Learning/Artificial Intelligence and Blood-Based DNA …
WEBApr 27, 2019 · Using Artificial Intelligence (AI) platforms/Machine Learning (ML) analysis, CpG methylation levels in a combination of 230 significantly differentially-methylated …
UL student developing AI to revolutionize early cerebral palsy ...
WEB4 hours ago · When Aaron was selecting the residency, the opportunity was more than just a mix of research, machine learning, and healthcare, it connected to something …
Machine learning to quantify habitual physical activity in children ...
WEBAim: To investigate whether activity-monitors and machine learning models could provide accurate information about physical activity performed by children and adolescents with …
Machine-learning-based models for the optimization of post …
WEB4 days ago · Background Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. However, those whose symptoms significantly improve and remain …
Machine Learning of Infant Spontaneous Movements for the Early ...
WEBDec 18, 2019 · Background: Early identification of cerebral palsy (CP) during infancy will provide opportunities for early therapies and treatments. The aim of the present study …
Machine learning algorithms for activity recognition in ambulant ...
WEBNov 15, 2018 · Background: Cerebral palsy (CP) is the most common physical disability among children (2.5 to 3.6 cases per 1000 live births). Inadequate physical activity (PA) …
Related searches for machine learning for cerebral palsy
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