AIMC Topic: Case-Control Studies

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Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

American journal of respiratory and critical care medicine Aug 15, 2021
Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk individuals can prompt earlier intervention and improve long-term outcomes. To develop a model to predict a future diagnosis of lung cancer on the basi...
Humans Machine Learning Retrospective Studies Female Aged ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Early Detection of Cancer Odds Ratio Clinical Decision Rules Aged, 80 and over Sensitivity and Specificity Male Middle Aged Case-Control Studies
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Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram.

Mayo Clinic proceedings Aug 1, 2021
OBJECTIVE: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG).
Predictive Value of Tests Artificial Intelligence COVID-19 Sensitivity and Specificity Case-Control Studies Electrocardiography Humans
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Humans Artificial Intelligence Prospective Studies Alzheimer Disease Ethnicity Early Diagnosis Cognition Memory Biomarkers Hong Kong Observational Studies as Topic Behavior Medical History Taking Language Mutation Mental Status and Dementia Tests Models, Biological Late Onset Disorders Patient Selection Case-Control Studies Clinical Trial Protocols as Topic Asian People Wearable Electronic Devices Mobile Applications
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Using Predictive Modeling and Machine Learning to Identify Patients Appropriate for Outpatient Anterior Cervical Fusion and Discectomy.

Spine May 15, 2021
STUDY DESIGN: Retrospective, case-control.
Female Risk Factors Adult Male Middle Aged Case-Control Studies Humans Machine Learning Databases, Factual Retrospective Studies Ambulatory Surgical Procedures Spinal Diseases Diskectomy Cohort Studies Predictive Value of Tests Cervical Vertebrae Spinal Fusion Quality Improvement
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Four Biomarkers-Based Artificial Neural Network Model for Accurate Early Prediction of Bacteremia with Low-level Procalcitonin.

Annals of clinical and laboratory science May 1, 2021
OBJECTIVE: Procalcitonin levels above 2.0 ng/mL are associated with a higher risk of severe sepsis. Bacteremia with procalcitonin levels lower than 2.0 ng/mL has not received much attention, and relevant prediction models are lacking. Herein, a panel...
Lactic Acid Aged, 80 and over Young Adult Adult Male Middle Aged Case-Control Studies Adolescent Bacteria Bacteremia Procalcitonin C-Reactive Protein Interleukin-6 Biomarkers Retrospective Studies Female Aged Humans Neural Networks, Computer
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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.

Medicine Apr 23, 2021
Along with recent developments in deep learning techniques, computer-aided diagnosis (CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the deep learning-based CAD algorithm (DCAD) for detecting and localizing 3 ma...
Female Reproducibility of Results Aged Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Male Lung Diseases ROC Curve Middle Aged Observer Variation Lung Neoplasms Case-Control Studies Radiography, Thoracic Thoracic Neoplasms Pneumothorax Area Under Curve
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Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Cell reports Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Child, Preschool Child Feces Proteomics Cluster Analysis Unsupervised Machine Learning Benchmarking Microbiota Allergens Epigenome Datasets as Topic Gene Expression Regulation Atlases as Topic Humans Middle Aged Nasal Cavity Gene Expression Profiling Precision Medicine Transcriptome Case-Control Studies Female Adolescent Adult Asthma Male
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High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Immunologic Memory Interleukin-7 Proteomics Receptors, IgE Signal Transduction Interleukin-10 Gene Expression Regulation Immunity, Innate Humans Macrophages Interferon-gamma CD8-Positive T-Lymphocytes Machine Learning Asthma Bronchoalveolar Lavage Fluid CD4-Positive T-Lymphocytes Severity of Illness Index Adrenal Cortex Hormones Gene Expression Profiling Anti-Asthmatic Agents Case-Control Studies Adaptive Immunity
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Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Korean journal of radiology Mar 1, 2021
Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to explain the fundamental principles of clinical validation, device approval, and insurance coverage decisions of AI algorithms for medical diagnosis and p...
Decision Making Area Under Curve Device Approval Insurance Coverage Humans Artificial Intelligence Delivery of Health Care Case-Control Studies ROC Curve Lung Neoplasms
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Risk Assessment Hospitalization Humans Aged Hospitals Machine Learning Sensitivity and Specificity COVID-19 Case-Control Studies Male Female ROC Curve Middle Aged SARS-CoV-2 Patient Admission
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