AIMC Topic: Aged, 80 and over
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Interpretable machine learning for predicting the response duration to Sintilimab plus chemotherapy in patients with advanced gastric or gastroesophageal junction cancer.
Frontiers in immunology
May 22, 2024
BACKGROUND: Sintilimab plus chemotherapy has proven effective as a combination immunotherapy for patients with advanced gastric and gastroesophageal junction adenocarcinoma (GC/GEJC). A multi-center study conducted in China revealed a median progress...
Prediction of Cognitive Impairment Risk among Older Adults: A Machine Learning-Based Comparative Study and Model Development.
Dementia and geriatric cognitive disorders
May 22, 2024
INTRODUCTION: The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention.
Evaluation of choroid vascular layer thickness in wet age-related macular degeneration using artificial intelligence.
Photodiagnosis and photodynamic therapy
May 21, 2024
PURPOSE: To facilitate the assessment of choroid vascular layer thickness in patients with wet age-related macular degeneration (AMD) using artificial intelligence (AI).
Lipoproteins and metabolites in diagnosing and predicting Alzheimer's disease using machine learning.
Lipids in health and disease
May 21, 2024
BACKGROUND: Alzheimer's disease (AD) is a chronic neurodegenerative disorder that poses a substantial economic burden. The Random forest algorithm is effective in predicting AD; however, the key factors influencing AD onset remain unclear. This study...
Enhanced multi-class pathology lesion detection in gastric neoplasms using deep learning-based approach and validation.
Scientific reports
May 21, 2024
This study developed a new convolutional neural network model to detect and classify gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light endoscopy images from 2606 patients in an 8:1:1 ratio. Lesions were categorized as...
Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction.
BMC palliative care
May 20, 2024
BACKGROUND: Ex-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic health records (EHR) demonstrate promising performance in cancer prognostication. However, gaps in ...
Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort.
Scientific reports
May 20, 2024
This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significan...
Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality.
Nature communications
May 20, 2024
Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-hospital m...
Deploying Robot-Led Activities for People with Dementia at Aged Care Facilities: A Feasibility Study.
Journal of the American Medical Directors Association
May 19, 2024
OBJECTIVES: To explore the feasibility of deploying robot-led activities for people with dementia living in aged care facilities.
Alzheimer's disease early screening and staged detection with plasma proteome using machine learning and convolutional neural network.
The European journal of neuroscience
May 19, 2024
Alzheimer's disease (AD) stands as the prevalent progressive neurodegenerative disease, precipitating cognitive impairment and even memory loss. Amyloid biomarkers have been extensively used in the diagnosis of AD. However, amyloid proteins offer lim...
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