AIMC Topic: Risk Factors

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[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Jan 25, 2024
OBJECTIVES: To analyze the association of serum heparin-binding protein (HBP) and C-reactive protein (CRP) levels with urosepsis following flexible ureteroscopic lithotripsy (FURL) and to construct a back propagation neural network prediction model.
C-Reactive Protein Urinary Tract Infections Neural Networks, Computer Kidney Calculi Female Risk Factors Aged Ureteroscopy Humans Lithotripsy Postoperative Complications Sepsis Logistic Models Adult Male Middle Aged
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Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.

Studies in health technology and informatics Jan 25, 2024
The benefits and harms of lung cancer screening (LCS) for patients in the real-world clinical setting have been argued. Recently, discriminative prediction modeling of lung cancer with stratified risk factors has been developed to investigate the rea...
Risk Factors Deep Learning Lung Neoplasms Early Detection of Cancer Humans
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[CLINICAL EVALUATION OF THERAPEUTIC EFFECT PREDICTORS IN PEMBROLIZUMAB FOR ADVANCED UROTHELIAL CANCER].

Nihon Hinyokika Gakkai zasshi. The japanese journal of urology Jan 1, 2024
(Purpose) We performed a clinical retrospective study on the evaluation of pembrolizumab treatment results for advanced urothelial cancer in our hospital. (Materials and Methods) Twenty-seven patients diagnosed with advanced or metastatic urothelial ...
Antineoplastic Agents, Immunological Aged, 80 and over Antibodies, Monoclonal, Humanized Urinary Bladder Neoplasms Survival Rate Middle Aged Female Humans Urologic Neoplasms Male Risk Factors Treatment Outcome Prognosis Aged Retrospective Studies
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Diagnostic-therapeutic management of pulmonary nodules.

Klinicka onkologie : casopis Ceske a Slovenske onkologicke spolecnosti Jan 1, 2024
BACKGROUND: Lung cancer is one of the leading causes of death worldwide, with incidence and mortality significantly affected by population ageing and changes in the prevalence of risk factors. Lung nodules, which are often detected incidentally on im...
Artificial Intelligence Risk Factors Lung Neoplasms Multiple Pulmonary Nodules Humans Solitary Pulmonary Nodule Early Detection of Cancer
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Comparative analysis of machine learning models for efficient low back pain prediction using demographic and lifestyle factors.

Journal of back and musculoskeletal rehabilitation Jan 1, 2024
BACKGROUND: Low back pain (LBP) is one of the most frequently occurring musculoskeletal disorders, and factors such as lifestyle as well as individual characteristics are associated with LBP.
Humans Low Back Pain Life Style Machine Learning Aged Republic of Korea Middle Aged Male Female Nutrition Surveys Risk Factors
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Applications of deep learning models in precision prediction of survival rates for heart failure patients.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart failure poses a significant challenge in the global health domain, and accurate prediction of mortality is crucial for devising effective treatment plans. In this study, we employed a Seq2Seq model from deep learning, integrating 12...
Deep Learning Heart Failure Survival Rate Male Middle Aged Humans Risk Factors Aged Machine Learning Female
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Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulcers (DFUs) in elderly diabetic patients, aiming to enhance prevention and intervention efforts.
Support Vector Machine Diabetic Foot Recurrence Machine Learning Female Risk Factors Male Blood Glucose Aged Aged, 80 and over Humans
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Development and validation of a clinical prediction model for glioma grade using machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however, this technique is invasive.
Humans Machine Learning Algorithms Female Brain Neoplasms Male Middle Aged Glioma Risk Factors Aged Adult Area Under Curve Neoplasm Grading
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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study.

The Lancet. Digital health Jan 1, 2024
BACKGROUND: Precise prognosis prediction in patients with colorectal cancer (ie, forecasting survival) is pivotal for individualised treatment and care. Histopathological tissue slides of colorectal cancer specimens contain rich prognostically releva...
Humans Prognosis Retrospective Studies Deep Learning Risk Factors Colorectal Neoplasms
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A machine learning prediction model for cancer risk in patients with type 2 diabetes based on clinical tests.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown that it is also associated with cancer-related morbidities. Early detection of cancer in patients with type 2 diabetes is crucial.
Risk Factors Aged ROC Curve Humans Adult Middle Aged Diabetes Mellitus, Type 2 Male Risk Assessment Machine Learning Early Detection of Cancer Neoplasms Algorithms Decision Trees Female
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