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New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.

La Clinica terapeutica Jan 1, 2024
BACKGROUND: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new li...
Humans Machine Learning Female Aged Organ Size Cause of Death Autopsy Forensic Pathology Adult Male Middle Aged Pilot Projects
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An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

Technology in cancer research & treatment Jan 1, 2024
To establish a model based on clinical and delta-radiomic features within ultrasound images using XGBoost machine learning to predict proliferation-associated nuclear antigen Ki-67 value ≥ 15% in TNM stage primary breast cancer (BC). Data were coll...
Ki-67 Antigen Female Radiomics Humans Biomarkers, Tumor Aged Machine Learning Middle Aged Adult Prognosis Ultrasonography ROC Curve Breast Neoplasms Neoadjuvant Therapy Follow-Up Studies Neoplasm Staging
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Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.

The journal of prevention of Alzheimer's disease Jan 1, 2024
BACKGROUND: Resting heart rate (RHR), has been related to increased risk of dementia, but the relationship between RHR and brain age is unclear.
Brain Female Aged Male Heart Rate Aging Humans United Kingdom Middle Aged Machine Learning Rest Longitudinal Studies Neuroimaging Magnetic Resonance Imaging
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Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...
Deep Learning Support Vector Machine Bayes Theorem Coronary Artery Disease Algorithms Female Male Middle Aged Humans Neural Networks, Computer Machine Learning
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A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, and behavioral difficulties. Diagnostic methods mostly rely on subjective evaluations and can lack objectivity. In this research Machine learning (ML) a...
Humans Machine Learning Autism Spectrum Disorder Female Wavelet Analysis Male Deep Learning Child Electroencephalography
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CNN-based glioma detection in MRI: A deep learning approach.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: More than a million people are affected by brain tumors each year; high-grade gliomas (HGGs) and low-grade gliomas (LGGs) present serious diagnostic and treatment hurdles, resulting in shortened life expectancies. Glioma segmentation is s...
Image Interpretation, Computer-Assisted Female Adult Brain Neoplasms Male Humans Middle Aged Neural Networks, Computer Algorithms Deep Learning Glioma Magnetic Resonance Imaging
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Mental fatigue recognition study based on 1D convolutional neural network and short-term ECG signals.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one of the important causes of social transportation, production and life accidents.
Electrocardiography Mental Fatigue Machine Learning Female Adult Male Humans Neural Networks, Computer
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Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

NeuroRehabilitation Jan 1, 2024
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at...
Postural Balance Stroke Gait Exercise Therapy Middle Aged Accidental Falls Robotics Stroke Rehabilitation Gait Disorders, Neurologic Humans Machine Learning Female Aged Adult Male
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Comparative analysis of machine learning models for efficient low back pain prediction using demographic and lifestyle factors.

Journal of back and musculoskeletal rehabilitation Jan 1, 2024
BACKGROUND: Low back pain (LBP) is one of the most frequently occurring musculoskeletal disorders, and factors such as lifestyle as well as individual characteristics are associated with LBP.
Republic of Korea Female Risk Factors Aged Humans Machine Learning Male Middle Aged Nutrition Surveys Low Back Pain Life Style
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Patients' perspectives on the use of artificial intelligence and robots in healthcare.

Bratislavske lekarske listy Jan 1, 2024
OBJECTIVE: We aimed to evaluate the opinions of individuals aged 18 and above in our country regarding the use of artificial intelligence (AI) and robots in the field of healthcare.
Delivery of Health Care Surveys and Questionnaires Humans Adolescent Female Adult Artificial Intelligence Robotics Aged Male Bulgaria Young Adult Trust Middle Aged
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