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Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.
Journal of clinical periodontology
Aug 7, 2024
AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive period...
Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis.
Antimicrobial resistance and infection control
Aug 7, 2024
BACKGROUND: Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospitalized patients with cirrhosis. This study aims to develop and validate two machine learning models for NIs and in-hospital mortality risk prediction.
Solving the puzzle of quality of life in cancer: integrating causal inference and machine learning for data-driven insights.
Health and quality of life outcomes
Aug 7, 2024
BACKGROUND: Understanding the determinants of global quality of life in cancer patients is crucial for improving their overall well-being. While correlations between various factors and quality of life have been established, the causal relationships ...
Contrastive machine learning reveals Parkinson's disease specific features associated with disease severity and progression.
Communications biology
Aug 7, 2024
Parkinson's disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to diverse neuroanatomical alterations. This study employs a contrastive deep learning approach to analyze Magnetic Resonance Imaging (MRI) data from 932 P...
Measurable residual disease (MRD) dynamics in multiple myeloma and the influence of clonal diversity analyzed by artificial intelligence.
Blood cancer journal
Aug 7, 2024
Minimal residual disease (MRD) assessment is a known surrogate marker for survival in multiple myeloma (MM). Here, we present a single institution's experience assessing MRD by NGS of Ig genes and the long-term impact of depth of response as well as ...
Artificial intelligence-assisted metastasis and prognosis model for patients with nodular melanoma.
PloS one
Aug 7, 2024
OBJECTIVE: The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithm...
Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes.
Neurocritical care
Aug 6, 2024
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracerebral hemorrhage (ICH) using machine learning.
Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Aug 6, 2024
This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 surve...
Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.
Medical & biological engineering & computing
Aug 6, 2024
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN...
Artificial intelligence prediction of In-Hospital mortality in patients with dementia: A multi-center study.
International journal of medical informatics
Aug 6, 2024
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients with dementia and artificial intelligence has the potential to serve as a solution; however, this issue remains unclear. Thus, this study was conducted t...
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