AIMC Topic: ROC Curve

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A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection.

PloS one Dec 5, 2024
BACKGROUND: Acinetobacter baumanni infection is a leading cause of morbidity and mortality in the Intensive Care Unit (ICU). Early recognition of patients at risk for infection allows early proper treatment and is associated with improved outcomes. T...
Adult Male Middle Aged ROC Curve Acinetobacter Infections Machine Learning Humans Intensive Care Units Female Acinetobacter baumannii Aged Cross Infection
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Machine Learning Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Humans Area Under Curve Outcome Assessment, Health Care Veterans Outpatients Patient Health Questionnaire Stress Disorders, Post-Traumatic ROC Curve United States Treatment Outcome Mental Health Services Middle Aged Depression Latent Class Analysis Adolescent
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Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy.

Cell reports. Medicine Dec 4, 2024
Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of locally advanced gastric cancer. We propose an incremental supervised contrastive learning model (iSCLM), an interpretable artificial intelligence framew...
Neoadjuvant Therapy Tomography, X-Ray Computed Female Aged Adult Stomach Neoplasms Male Middle Aged ROC Curve Treatment Outcome Humans Artificial Intelligence Prognosis Retrospective Studies
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Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China.

BMC pregnancy and childbirth Dec 4, 2024
BACKGROUND: Preterm birth (PTB) is a significant cause of neonatal mortality and long-term health issues. Accurate prediction and timely prevention of PTB are essential for reducing associated child mortality and morbidity. Traditional predictive met...
Female Infant, Newborn Premature Birth Risk Factors Adult Humans Machine Learning Pregnancy ROC Curve Logistic Models Bayes Theorem Male China Surveys and Questionnaires Child, Preschool
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

Frontiers in immunology Dec 4, 2024
BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision impairment. Understanding the molecular mechanisms, particularly PANoptosis, underlying DR is crucial for identifying potential biomarkers and therape...
ROC Curve Random Forest Humans Memory T Cells CD4-Positive T-Lymphocytes RNA-Seq Diabetic Retinopathy Fatty Acid Synthase, Type I Gene Expression Regulation Gene Regulatory Networks Machine Learning Phospholipid Transfer Proteins Molecular Targeted Therapy Biomarkers Nomograms Regulated Cell Death Human Umbilical Vein Endothelial Cells
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Detection of basal cell carcinoma by machine learning-assisted ex vivo confocal laser scanning microscopy.

International journal of dermatology Dec 3, 2024
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that enables near real-time histology of whole tissue samples. However, the adoption of EVCM into clinical routine is partly limited because the recognition...
Humans Neural Networks, Computer Sensitivity and Specificity ROC Curve Machine Learning Microscopy, Confocal Female Proof of Concept Study Skin Neoplasms Carcinoma, Basal Cell
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The use of cloud based machine learning to predict outcome in intracerebral haemorrhage without explicit programming expertise.

Neurosurgical review Dec 3, 2024
Machine Learning (ML) techniques require novel computer programming skills along with clinical domain knowledge to produce a useful model. We demonstrate the use of a cloud-based ML tool that does not require any programming expertise to develop, val...
Humans Machine Learning Prognosis Female Logistic Models Treatment Outcome Cerebral Hemorrhage Cloud Computing Glasgow Coma Scale Aged Aged, 80 and over Male Middle Aged ROC Curve
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Development of machine learning-based models to predict congenital heart disease: A matched case-control study.

International journal of medical informatics Dec 2, 2024
BACKGROUND: The current congenital heart disease (CHD) prediction tools lack adequate interpretability and convenience, hindering the development of personalized CHD management strategies. We developed a machine learning-based risk stratification mod...
Heart Defects, Congenital Risk Assessment Case-Control Studies China Humans ROC Curve Machine Learning Algorithms Female Male
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Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Dec 2, 2024
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in hepatic steatosis (HS) grading of Non-Alcoholic Fatty Liver Disease (NAFLD) patients, using as input B-mode US images containing right kidney (RK) cort...
Reference Standards Kidney Female Liver Aged Adult Biopsy Humans Male Non-alcoholic Fatty Liver Disease Middle Aged Deep Learning Ultrasonography ROC Curve Image Processing, Computer-Assisted
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Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study.

BMC cancer Nov 29, 2024
BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cells followed by malignant transformation, and it has the highest incidence among female malignant tumors. The metastasis of BC occurs through direct and...
Eye Neoplasms Middle Aged Prognosis Aged Retrospective Studies Humans ROC Curve Adult Female Logistic Models Machine Learning Risk Factors Lymphatic Metastasis Breast Neoplasms Biomarkers, Tumor
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