AIMC Topic: Retrospective Studies
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A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease.
Scientific reports
Apr 15, 2025
Glycogen storage disease (GSD) is a group of rare inherited metabolic disorders characterized by abnormal glycogen storage and breakdown. These disorders are caused by mutations in G6PC1, which is essential for proper glucose storage and metabolism. ...
Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital.
Archives of endocrinology and metabolism
Apr 15, 2025
OBJECTIVE: To characterize, via a predictive model using real-world data, patients with diabetes with a heightened probability of hospitalization.
Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm.
European journal of medical research
Apr 15, 2025
OBJECTIVES: This study aims to develop a reliable and interpretable predictive model for long-term survival in Type A aortic dissection (TAAD) patients, utilizing machine learning (ML) algorithms.
Predicting diabetes mellitus metabolic goals and chronic complications transitions-analysis based on natural language processing and machine learning models.
PloS one
Apr 15, 2025
OBJECTIVE: To estimate Diabetes mellitus (DM) progression at one and two years in terms of glycemic targets and development of complications.
The spatiotemporal ecology of Oropouche virus across Latin America: a multidisciplinary, laboratory-based, modelling study.
The Lancet. Infectious diseases
Apr 14, 2025
BACKGROUND: Latin America has been experiencing an Oropouche virus (OROV) outbreak of unprecedented magnitude and spread since 2023-24 for unknown reasons. We aimed to identify risk predictors of and areas at risk for OROV transmission.
Young Adult
Adult
Male
Middle Aged
Disease Outbreaks
Immunoglobulin G
Retrospective Studies
Humans
Female
Aged
Seroepidemiologic Studies
Spatio-Temporal Analysis
Immunoglobulin M
Adolescent
Latin America
Child
Bunyaviridae Infections
Antibodies, Viral
Orthobunyavirus
Enzyme-Linked Immunosorbent Assay
Risk Factors and Outcomes of Hemorrhagic Transformation in Acute Ischemic Stroke Following Thrombolysis: Analysis of a Single-Center Experience and Review of the Literature.
Medicina (Kaunas, Lithuania)
Apr 14, 2025
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, providing valuable insights into hemorrhagic transformation (HT) in thrombolyzed patients with acute ischemic stroke (AIS). Hemorrhagic complications remai...
Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines.
BMC cancer
Apr 14, 2025
BACKGROUND: The relationship between cytokines and lung metastasis (LM) in breast cancer (BC) remains unclear and current clinical methods for identifying breast cancer lung metastasis (BCLM) lack precision, thus underscoring the need for an accurate...
Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients.
Scientific reports
Apr 14, 2025
The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predict sarcopenia among postsurgical gastric cancer patients has gained significant attention in recent research. Sarcopenia, characterized by the progress...
TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning models.
Frontiers in endocrinology
Apr 14, 2025
BACKGROUND: Prostate cancer (PCa) in the transition zone (TZ) is uncommon and often poses challenges for early diagnosis, but its genomic determinants and therapeutic vulnerabilities remain poorly characterized.
A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.
PeerJ
Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
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