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Exploring the risk factors and clustering patterns of periodontitis in patients with different subtypes of diabetes through machine learning and cluster analysis.
Acta odontologica Scandinavica
Dec 3, 2024
AIM: To analyse the risk factors contributing to the prevalence of periodontitis among clusters of patients with diabetes and to examine the clustering patterns of clinical blood biochemical indicators.
On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study.
Journal of neuroengineering and rehabilitation
Dec 3, 2024
BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor training to help the patient achieve a physiological gait pattern, reducing the physical effort required by therapist. By introducing the robot as a ...
Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes.
Journal of translational medicine
Dec 3, 2024
BACKGROUND: It is unclear regarding the association between metabolomic state/genetic risk score(GRS) and brain volumes and how much of variance of brain volumes is attributable to metabolomic state or GRS.
Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans.
Scientific reports
Dec 3, 2024
Cranial sex estimation often relies on visual assessments made by a forensic anthropologist following published standards. However, these methods are prone to human bias and may be less accurate when applied to populations other than those for which ...
Application of machine learning in breast cancer survival prediction using a multimethod approach.
Scientific reports
Dec 3, 2024
Breast cancer is one of the most prevalent cancers with an increasing trend in both incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting appropriate care plans. To the best of our knowledge, this study is pioneeri...
Transformer-based transfer learning on self-reported voice recordings for Parkinson's disease diagnosis.
Scientific reports
Dec 3, 2024
Deep learning (DL) techniques are becoming more popular for diagnosing Parkinson's disease (PD) because they offer non-invasive and easily accessible tools. By using advanced data analysis, these methods improve early detection and diagnosis, which i...
Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.
Scientific reports
Dec 3, 2024
Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures exist, but methodological and implementation challenges impede primary care (PC) use. We aim to develop and evaluate a novel machine learning (ML) alg...
Speech-based personality prediction using deep learning with acoustic and linguistic embeddings.
Scientific reports
Dec 3, 2024
This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. We collected data from 2045 participants who completed a self-rep...
A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system.
Scientific reports
Dec 3, 2024
The array of complex and evolving patient data has limited clinical decision making in the emergency department (ED). This study introduces an advanced deep learning algorithm designed to enhance real-time prediction accuracy for integration into a n...
The use of cloud based machine learning to predict outcome in intracerebral haemorrhage without explicit programming expertise.
Neurosurgical review
Dec 3, 2024
Machine Learning (ML) techniques require novel computer programming skills along with clinical domain knowledge to produce a useful model. We demonstrate the use of a cloud-based ML tool that does not require any programming expertise to develop, val...
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