AIMC Topic: Retrospective Studies
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Comparing Multiple Imputation Methods to Address Missing Patient Demographics in Immunization Information Systems: Retrospective Cohort Study.
JMIR public health and surveillance
Aug 26, 2025
BACKGROUND: Immunization Information Systems (IIS) and surveillance data are essential for public health interventions and programming; however, missing data are often a challenge, potentially introducing bias and impacting the accuracy of vaccine co...
Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity.
Journal of clinical immunology
Aug 26, 2025
Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops ...
Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm.
PloS one
Aug 26, 2025
BACKGROUND: The Kidney Donor Profile Index (KDPI) is a continuous metric used to estimate the risk of allograft failure for kidneys from deceased donors. Lower KDPI scores are associated with longer post-transplant kidney function. This study aims to...
Hospital acquired drug resistant pathogens infections in patients with viral respiratory tract infections: a retrospective study.
BMC infectious diseases
Aug 25, 2025
BACKGROUND: Viral respiratory infections (VRTIs) caused by influenza (Flu) and COVID-19 pose significant global health challenges. Clinical outcomes are further exacerbated by infections with hospital acquired drug resistant pathogens (DRPs).
Survival impact of adjuvant radiotherapy in early stage low risk elderly male breast cancer patients treated with breast conserving surgery.
Scientific reports
Aug 24, 2025
Our study aimed to evaluate the survival impact of adjuvant radiotherapy (RT) following breast-conserving surgery (BCS) in elderly male patients with early-stage, low-risk breast cancer (node-negative, HR+), and to identify RT-benefiting subgroups us...
Machine learning to predict bacteriuria in the emergency department.
Scientific reports
Aug 24, 2025
Urinary tract infections (UTIs) are among the most common bacterial infections, yet they are both frequently misdiagnosed and inappropriately treated. We aimed to determine whether a machine learning model could accurately predict bacteriuria by usin...
Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data.
Scientific reports
Aug 24, 2025
Glioblastoma is an aggressive, malignant primary brain tumour and the most prevalent histological type of glioma. Our study attempted to investigate the independent predictors of overall survival (OS) and cancer-specific survival (CSS) in Asian patie...
A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study.
BMC cancer
Aug 23, 2025
BACKGROUND: To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis.
Deep learning radiomics based on MRI for differentiating tongue cancer T - staging.
BMC cancer
Aug 22, 2025
OBJECTIVE: To develop a deep learning-based MRI model for predicting tongue cancer T-stage.
Constructing a predictive model for acute mastitis in lactating women based on machine learning.
Scientific reports
Aug 22, 2025
Acute lactational mastitis is a frequently occurring complication for lactating women, exerting a certain degree of influence on their physical condition, breastfeeding, mental health, and daily life. The etiology of this disease is complex, and the ...
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