AIMC Topic: Case-Control 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 Stroke Machine Learning 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...
Venous Thromboembolism Retrospective Studies Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors Male Machine Learning Female Middle Aged Ankle Fractures Risk Factors Risk Assessment Case-Control Studies Aged Incidence Adult
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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.
Rats, Inbred Lew Esophageal Neoplasms Anastomotic Leak Propensity Score Animals Postoperative Complications Case-Control Studies Robotics Esophagectomy Rats Treatment Outcome Humans Retrospective Studies
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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 Pregnancy Humans Case-Control Studies Carrier Proteins Female ROC Curve Prospective Studies Pregnancy Trimester, First 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...
Humans Female Aged Middle Aged Case-Control Studies Deep Learning Adolescent Young Adult Adult Male Neuroimaging Imaging, Three-Dimensional Magnetic Resonance Imaging Schizophrenia
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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...
Prodromal Symptoms Deep Learning Electrocardiography Artificial Intelligence Parkinson Disease Case-Control Studies Humans
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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...
Humans Pulmonary Disease, Chronic Obstructive Quality of Life Artificial Intelligence Adult Auscultation Respiratory Sounds Ultrasonography Lung Idiopathic Interstitial Pneumonias Clinical Protocols Observational Studies as Topic Case-Control Studies Idiopathic Pulmonary Fibrosis Deep Learning Lung Diseases, Interstitial
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Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.

Neuroscience letters May 29, 2023
Depression is a psychological condition which hampers day to day activity (Thinking, Feeling or Action). The early detection of this illness will help to save many lives because it is now recognized as a global problem which could even lead to suicid...
Neural Networks, Computer Machine Learning Depressive Disorder, Major Humans Electroencephalography Random Forest Datasets as Topic Case-Control Studies Depression Decision Trees
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Effects of tracer position on screw placement technique in robot-assisted posterior spine surgery: a case-control study.

BMC musculoskeletal disorders May 25, 2023
INTRODUCTION: Robot-assisted spine surgery is increasingly used in clinical work, and the installation of tracers as a key step in robotic surgery has rarely been studied.
Lumbar Vertebrae Pedicle Screws Robotic Surgical Procedures Spinal Fusion Humans Spine Retrospective Studies Case-Control Studies Robotics
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