AIMC Topic: Case-Control Studies

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Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study.

BJOG : an international journal of obstetrics and gynaecology Nov 20, 2023
OBJECTIVES: To identify and internally validate metabolites predictive of spontaneous preterm birth (sPTB) using multiple machine learning methods and sequential maternal serum samples, and to predict spontaneous early term birth (sETB) using these m...
Adult Case-Control Studies Metabolomics Pregnancy United Kingdom Female Gestational Age Premature Birth Predictive Value of Tests Humans Supervised Machine Learning Prospective Studies
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Artificial intelligence for detecting keratoconus.

The Cochrane database of systematic reviews Nov 15, 2023
BACKGROUND: Keratoconus remains difficult to diagnose, especially in the early stages. It is a progressive disorder of the cornea that starts at a young age. Diagnosis is based on clinical examination and corneal imaging; though in the early stages, ...
Case-Control Studies Keratoconus Physical Examination Humans Artificial Intelligence Cross-Sectional Studies
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In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making Nov 1, 2023
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...
Humans Hospitals Case-Control Studies Bayes Theorem Machine Learning Stroke Algorithms Retrospective Studies
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Correlation Between Statin Use and Symptomatic Venous Thromboembolism Incidence in Patients With Ankle Fracture: A Machine Learning Approach.

Foot & ankle specialist Oct 31, 2023
BACKGROUND: Identifying factors that correlate with the incidence of venous thromboembolism (VTE) has the potential to improve VTE prevention and positively influence decision-making regarding prophylaxis. In this study, we aimed to investigate the c...
Risk Factors Aged Adult Machine Learning Retrospective Studies Female Case-Control Studies Incidence Venous Thromboembolism Hydroxymethylglutaryl-CoA Reductase Inhibitors Male Middle Aged Risk Assessment Humans Ankle Fractures
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Comparison of Clinical Efficacy Between Da Vinci Robot-Assisted Ivor Lewis Esophagectomy and McKeown Esophagectomy for Middle and Lower Thoracic Esophageal Cancer: A Multicenter Propensity Score-Matched Study.

Annals of surgical oncology Sep 12, 2023
BACKGROUND: We compared the perioperative efficacy and safety of da Vinci robot-assisted Ivor Lewis esophagectomy and McKeown esophagectomy for middle and lower thoracic esophageal cancer.
Humans Esophagectomy Case-Control Studies Esophageal Neoplasms Retrospective Studies Anastomotic Leak Rats Propensity Score Treatment Outcome Animals Rats, Inbred Lew Robotics Postoperative Complications
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Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?

Turkish journal of medical sciences Sep 9, 2023
BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in d...
Adult Humans Pregnancy Carrier Proteins Case-Control Studies Prospective Studies Female Pregnancy Trimester, First ROC Curve Biomarkers Premature Birth
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Detecting schizophrenia with 3D structural brain MRI using deep learning.

Scientific reports Sep 2, 2023
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve clas...
Deep Learning Adolescent Imaging, Three-Dimensional Neuroimaging Magnetic Resonance Imaging Schizophrenia Male Middle Aged Case-Control Studies Aged Young Adult Adult Humans Female
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Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.

Scientific reports Jul 29, 2023
Little is known about electrocardiogram (ECG) markers of Parkinson's disease (PD) during the prodromal stage. The aim of the study was to build a generalizable ECG-based fully automatic artificial intelligence (AI) model to predict PD risk during the...
Artificial Intelligence Case-Control Studies Deep Learning Prodromal Symptoms Humans Electrocardiography Parkinson Disease
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Extraction of use case diagram elements using natural language processing and network science.

PloS one Jun 23, 2023
Software engineering artifact extraction from natural language requirements without human intervention is a challenging task. Out of these artifacts, the use case plays a prominent role in software design and development. In the literature, most of t...
Case-Control Studies Software Natural Language Processing Language
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognos...
Clinical Protocols Idiopathic Interstitial Pneumonias Lung Diseases, Interstitial Artificial Intelligence Auscultation Adult Deep Learning Respiratory Sounds Quality of Life Pulmonary Disease, Chronic Obstructive Ultrasonography Observational Studies as Topic Lung Humans Idiopathic Pulmonary Fibrosis Case-Control Studies
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