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Detection of prostate cancer using diffusion-relaxation correlation spectrum imaging with support vector machine model – a feasibility study
BackgroundTo evaluate the performance of diffusion-relaxation correlation spectrum imaging (DR-CSI) with support vector machine (SVM) in detecting...
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Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital
PurposeThis study aims to address the challenge of identifying retinal damage in medical applications through a computer-aided diagnosis (CAD)...
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Highly accurate acoustical prediction using support vector machine algorithm for post-operative subsidence after cementless total hip arthroplasty
PurposeAcoustic analysis has recently been applied to cementless total hip arthroplasty (THA). The aim of this study was to develop a machine...
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A Prediction Algorithm for Hypoglycemia Based on Support Vector Machine Using Glucose Level and Electrocardiogram
A prediction algorithm for hypoglycemic events is proposed using glucose levels and electrocardiogram (ECG) with support vector machine (SVM). We...
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Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders
Nearly a quarter of bipolar disorder (BD) patients were misdiagnosed as major depressive disorder (MDD) patients, which cannot be corrected until...
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Prediction of 30-day risk of acute exacerbation of readmission in elderly patients with COPD based on support vector machine model
BackgroundAcute exacerbation of chronic obstructive pulmonary disease (COPD) is an important event in the process of disease management. Early...
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Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine
The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly wonderful organ. It isolates us and shields our...
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Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Schizophrenia is a serious chronic mental disorder that significantly affects daily life. Electroencephalography (EEG), a method used to measure...
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Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines
Cervical cancer is one of the most common malignant tumors among female gynecological diseases. This paper aims to explore the feasibility of...
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Establishment of a model for predicting preterm birth based on the machine learning algorithm
BackgroundThe purpose of this study was to construct a preterm birth prediction model based on electronic health records and to provide a reference...
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A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records
BackgroundPrevious models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine...
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Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease
BackgroundNon-invasive renal fibrosis assessment is critical for tailoring personalized decision-making and managing follow-up in patients with...
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Machine learning-derived model for predicting poor post-treatment quality of life in Korean cancer survivors
PurposeA substantial number of cancer survivors have poor quality of life (QOL) even after completing cancer treatment. Thus, in this study, we used...
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A retrospective study using machine learning to develop predictive model to identify urinary infection stones in vivo
Preoperative diagnosis of urinary infection stones is difficult, and accurate detection of stone composition can only be performed ex vivo. To...
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Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
ObjectiveThis study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus...
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Support-vector classification of low-dose nitrous oxide administration with multi-channel EEG power spectra
Support-vector machines (SVMs) can potentially improve patient monitoring during nitrous oxide anaesthesia. By elucidating the effects of low-dose...
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Machine learning in general practice: sco** review of administrative task support and automation
BackgroundArtificial intelligence (AI) is increasingly used to support general practice in the early detection of disease and treatment...
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Machine learning-based clinical decision support system for treatment recommendation and overall survival prediction of hepatocellular carcinoma: a multi-center study
The treatment decisions for patients with hepatocellular carcinoma are determined by a wide range of factors, and there is a significant difference...
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Machine learning constructs a diagnostic prediction model for calculous pyonephrosis
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to...
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Constructing an extracellular matrix-related prognostic model for idiopathic pulmonary fibrosis based on machine learning
BackgroundIdiopathic pulmonary fibrosis (IPF) is a chronic and progressive interstitial lung disease. Multiple research has revealed that the...
