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Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 31, 2024
BACKGROUND: Early prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. Ho...
Tomography, X-Ray Computed Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Radiomics Male Middle Aged Risk Assessment Humans Decision Support Techniques Prognosis Retrospective Studies Cerebral Hemorrhage Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Hematoma Automation Disease Progression Deep Learning China Time Factors Nomograms
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Development of machine learning-based models for predicting risk factors in acute cerebral infarction patients: a clinical retrospective study.

BMC neurology Aug 31, 2024
OBJECTIVES: The aim of this study was to develop machine learning-based models for predicting acute cerebral infarction (ACI) in patients.
Humans Machine Learning Retrospective Studies Female Risk Factors Aged Male Middle Aged Logistic Models Cerebral Infarction
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The early prediction of gestational diabetes mellitus by machine learning models.

BMC pregnancy and childbirth Aug 31, 2024
BACKGROUND: We aimed to determine the best-performing machine learning (ML)-based algorithm for predicting gestational diabetes mellitus (GDM) with sociodemographic and obstetrics features in the pre-conceptional period.
Body Mass Index Predictive Value of Tests Pregnancy Trimester, First Diabetes, Gestational Glucose Tolerance Test Parity Risk Factors Young Adult Humans Adult Blood Glucose Machine Learning Algorithms Pregnancy Female
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Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran.

Journal of preventive medicine and hygiene Aug 31, 2024
BACKGROUND: Low survival rates of breast cancer in developing countries are mainly due to the lack of early detection plans and adequate diagnosis and treatment facilities.
Adolescent Young Adult Humans Logistic Models Adult Machine Learning Decision Trees Breast Neoplasms Female Principal Component Analysis Middle Aged Risk Factors Iran Case-Control Studies Aged
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Construction and verification of a machine learning-based prediction model of deep vein thrombosis formation after spinal surgery.

International journal of medical informatics Aug 30, 2024
BACKGROUND: Deep vein thromboembolism (DVT) is a common postoperative complication with high morbidity and mortality rates. However, the safety and effectiveness of using prophylactic anticoagulants for preventing DVT after spinal surgery remain cont...
Postoperative Complications Venous Thrombosis Spine Risk Factors Humans Aged Machine Learning Adult Algorithms Male Retrospective Studies Middle Aged Female
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Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network.

Computer methods and programs in biomedicine Aug 30, 2024
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criticality, rapid progression, complex and changeable condition, and its pathophysiological process involves the interaction of multiple organs and system...
Humans Electronic Health Records Data Mining Neural Networks, Computer Female Machine Learning Middle Aged Risk Factors Deep Learning Algorithms Aged Hospital Mortality Databases, Factual Male Acute Disease Prognosis Heart Failure Intensive Care Units
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Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review.

BMJ open Aug 30, 2024
INTRODUCTION: Development of asthma and allergies in childhood/adolescence commonly follows a sequential progression termed the 'atopic march'. Recent reports indicate, however, that these diseases are composed of multiple distinct phenotypes, with p...
Asthma Adolescent Child Systematic Reviews as Topic Hypersensitivity Humans Machine Learning Research Design Phenotype Risk Factors
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Uncovering early predictors of cerebral palsy through the application of machine learning: a case-control study.

BMJ paediatrics open Aug 30, 2024
OBJECTIVE: Cerebral palsy (CP) is a group of neurological disorders with profound implications for children's development. The identification of perinatal risk factors for CP may lead to improved preventive and therapeutic strategies. This study aime...
Humans Machine Learning Retrospective Studies Pregnancy Female ROC Curve Cerebral Palsy Slovenia Infant, Newborn Risk Factors Sensitivity and Specificity Male Case-Control Studies
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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Humans Retrospective Studies Female Adolescent Risk Factors Thyroid Neoplasms Young Adult Ultrasonography Male ROC Curve Risk Assessment Lymph Nodes Lymphatic Metastasis Thyroid Cancer, Papillary Regression Analysis Predictive Learning Models Predictive Value of Tests Area Under Curve Reference Values
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Aged Radiomics Male Middle Aged Risk Assessment Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Female Risk Factors Radiographic Image Interpretation, Computer-Assisted Neoplasm Recurrence, Local Microwaves Margins of Excision Humans Time Factors Adenocarcinoma of Lung Machine Learning Ablation Techniques Lung Neoplasms Decision Support Techniques Treatment Outcome Predictive Value of Tests Neoplasm Staging
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