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Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.

JMIR medical informatics Apr 10, 2025
BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records contain valuable information about CHF, but manual chart review is time-consuming. Claims databases (using International Classification of Diseases [...
Male Middle Aged Natural Language Processing Heart Failure International Classification of Diseases Electronic Health Records Female Aged Humans Machine Learning Retrospective Studies
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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection.

Scientific reports Apr 10, 2025
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients,...
Convolutional Neural Networks Posture Markov Chains Sleep Female Adult Male Polysomnography Hidden Markov Models Humans Neural Networks, Computer
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Classification of schizophrenia based on RAnet-ET: resnet based attention network for eye-tracking.

Journal of neural engineering Apr 10, 2025
There is a notable need of quantifiable and objective methods for the classification of schizophrenia. Patients with schizophrenia exhibit atypical eye movements compared with healthy individuals. To address this need, we have developed a classificat...
Neural Networks, Computer Female Young Adult Adult Humans Eye Movements Schizophrenia Male Attention Middle Aged Eye-Tracking Technology
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The Association of Elevated Depression Levels and Life's Essential 8 on Cardiovascular Health With Predicted Machine Learning Models and Interpretations: Evidence From NHANES 2007-2018.

Depression and anxiety Apr 10, 2025
The association between depression severity and cardiovascular health (CVH) represented by Life's Essential 8 (LE8) was analyzed, with a novel focus on ranked levels and different ages. Machine learning (ML) algorithms were also selected aimed at pr...
Cardiovascular Diseases Middle Aged Severity of Illness Index United States Age Factors Aged Humans Depression Adult Nutrition Surveys Machine Learning Male Female
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Assessing the cardioprotective effects of exercise in APOE mouse models using deep learning and photon-counting micro-CT.

PloS one Apr 10, 2025
BACKGROUND: The allelic variations of the apolipoprotein E (APOE) gene play a critical role in regulating lipid metabolism and significantly impact cardiovascular disease risk (CVD). This study aimed to evaluate the impact of exercise on cardiac stru...
Cardiovascular Diseases Deep Learning Mice Female Animals Genotype Male Disease Models, Animal Physical Conditioning, Animal Apolipoproteins E Heart X-Ray Microtomography
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Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

Medical engineering & physics Apr 9, 2025
This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regression layers for the non-invasive prediction of Cobb Angle (CA) from Surface Topography (ST) scans in adolescents with Idiopathic Scoliosis (AIS). The ai...
Ensemble Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Surface Properties Female Scoliosis Convolutional Neural Networks Adolescent Male Deep Learning
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Keeping AI on Track: Regular monitoring of algorithmic updates in mammography.

European journal of radiology Apr 9, 2025
PURPOSE: To demonstrate a method of benchmarking the performance of two consecutive software releases of the same commercial artificial intelligence (AI) product to trained human readers using the Personal Performance in Mammographic Screening scheme...
Breast Neoplasms Middle Aged Mammography Radiographic Image Interpretation, Computer-Assisted Benchmarking Humans Female Reproducibility of Results Artificial Intelligence Sensitivity and Specificity Algorithms Retrospective Studies
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A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification.

Journal of biomedical informatics Apr 9, 2025
OBJECTIVES: Patient classification into specific molecular subtypes is paramount in biomedical research and clinical practice to face complex, heterogeneous diseases. Existing methods, especially for gene expression-based cancer subtyping, often simp...
Neoplasms Humans Machine Learning Gene Expression Profiling Algorithms Precision Medicine Computational Biology Female Workflow Breast Neoplasms
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A novel deep neural network approach to detect and monitor cocaine drug abuse.

Computers in biology and medicine Apr 9, 2025
PURPOSE: Cocaine is one of the most commonly used drugs that may lead to physical and mental health problems. It is necessary to identify individuals having cocaine use disorder as early as possible to monitor them properly. The objective of this wor...
Humans Neural Networks, Computer Deep Learning Female Cocaine Cocaine-Related Disorders Adult Male
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Mitosis detection and classification for breast cancer diagnosis: What we know and what is next.

Computers in biology and medicine Apr 9, 2025
Breast cancer is the second most deadly malignancy in women, behind lung cancer. Despite significant improvements in medical research, breast cancer is still accurately diagnosed with histological analysis. During this procedure, pathologists examine...
Neural Networks, Computer Machine Learning Female Image Interpretation, Computer-Assisted Mitosis Humans Breast Neoplasms Deep Learning
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