The impact of comorbidity on cancer survival: a review
Clinical Epidemiology, 2013 Mette Søgaard,1 Reimar Wernich Thomsen,1 Kristine Skovgaard Bossen,2 Henrik Toft Sørensen,1 Mette Nørgaard1 1Department of Clinical Epidemiology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark; 2Danish ...
Søgaard M +4 more
doaj
Assessing Validity of ICD-10 Administrative Data in Coding Comorbidities [PDF]
arXivObjectives: Administrative data is commonly used to inform chronic disease prevalence and support health informatics research. This study assessed the validity of coding comorbidity in the International Classification of Diseases, 10th Revision (ICD-10) administrative data.
arxiv
Comorbidity and social phobia: evidence from epidemiologic and genetic studies
, 1993 Kathleen R. Merikangas, Jules Angst
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Advanced Science, EarlyView.Intratracheal neomycin alters pulmonary microbiota, activating the vagus nerve via lung brain‐derived neurotrophic factor/tropomyosin receptor kinase B (BDNF/TrkB) pathway, further projecting to nucleus of solitary tract (NTS), then dorsal raphe nucleus (DRN), where activated serotoninergic neurons increase brain serotonin, alleviating migraine.
Biying Liu +7 more
wiley +1 more source
Machine Learning and Statistical Insights into Hospital Stay Durations: The Italian EHR Case [PDF]
arXivLength of hospital stay is a critical metric for assessing healthcare quality and optimizing hospital resource management. This study aims to identify factors influencing LoS within the Italian healthcare context, using a dataset of hospitalization records from over 60 healthcare facilities in the Piedmont region, spanning from 2020 to 2023.
arxiv
Longitudinal, Multimodal Tracking Reveals Lasting Neurovascular Impact of Individual Microinfarcts
Advanced Science, EarlyView.Jin et al. investigate the neurovascular impact of microinfarcts, revealing transient neural suppression with minimal cell death and recovery linked to vascular remodeling. Fast‐spiking interneurons exhibit reduced excitability, whereas regular‐spiking neurons showed increased bursting activity. Disruptions in low‐gamma phase locking suggest persistent
Yifu Jin +9 more
wiley +1 more source
Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights [PDF]
arXivThis study presents a web-based interactive health risk prediction tool designed to assess diabetes risk using machine learning models. Built on the 2015 CDC BRFSS dataset, the study evaluates models including Logistic Regression, Random Forest, XGBoost, LightGBM, KNN, and Neural Networks under original, SMOTE, and undersampling strategies.
arxiv
Use of comorbidity scores for control of confounding in studies using administrative databases [PDF]
, 2000 Sebastian Schneeweiß, Malcolm Maclure
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Engineered Tissue Models to Decode Host–Microbiota Interactions
Advanced Science, EarlyView.Host–Microbiota interactions in the human body. Created in BioRender. Ghezzi, C. (2025) https://BioRender.com/ihivskg. Abstract A mutualistic co‐evolution exists between the host and its associated microbiota in the human body. Bacteria establish ecological niches in various tissues of the body, locally influencing their physiology and functions, but ...
Miryam Adelfio +5 more
wiley +1 more source
Alzheimer's disease comorbidity in normal pressure hydrocephalus: prevalence and shunt response [PDF]
, 2000 James Golomb
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