AIMC Topic: Cohort Studies

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Robotic PCI: Evolving from novel toward non-inferior.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Mar 1, 2019
Robotic-assisted PCI appears to be safe and feasible in both simple and complex lesions. In this small cohort study, analysis of manual versus robotic PCI suggests comparable clinical outcomes. Further adequately powered, randomized, multicenter stud...
Cohort Studies Robotics Robotic Surgical Procedures Percutaneous Coronary Intervention
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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised ma...
Humans Machine Learning Electronic Health Records Female ROC Curve Adult Alcoholism Natural Language Processing Male Wounds and Injuries Trauma Centers Middle Aged Cohort Studies
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Efficacy and safety of electroacupuncture in treatment of lumbar disc herniation: a protocol for a cohort study.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Feb 1, 2019
OBJECTIVE: To compare the efficacy of electroacupuncture (deep needling) and general orthopedics in treatment of lumbar disc herniation (LDH), and to evaluate its long-term efficacy.
Quality of Life Young Adult Surveys and Questionnaires Electroacupuncture Treatment Outcome Humans Adult Intervertebral Disc Degeneration Adolescent Lumbar Vertebrae Male Prospective Studies Intervertebral Disc Displacement Cohort Studies Moxibustion Middle Aged Female Acupuncture Points Aged
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An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.

Investigative ophthalmology & visual science Jan 2, 2019
PURPOSE: To detect visual field (VF) progression by analyzing spatial pattern changes.
Cohort Studies Follow-Up Studies Vision Disorders Glaucoma Visual Fields Artificial Intelligence Predictive Value of Tests Visual Field Tests Humans Disease Progression False Positive Reactions Spatial Processing Diagnosis, Computer-Assisted
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Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
Logistic Models MicroRNAs DNA Whole Genome Sequencing Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Association Studies Computational Biology Supranuclear Palsy, Progressive Genetic Variation CpG Islands RNA, Untranslated Microsatellite Repeats Phenotype Autism Spectrum Disorder Female Male Case-Control Studies Cohort Studies Humans Child Gene Regulatory Networks Machine Learning
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Cancer Phenotype Development: A Literature Review.

Studies in health technology and informatics Jan 1, 2019
EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to improve the cohort identification process. The ability to identify patient cohorts using aspects of care and outcomes based on clinical characteristics o...
Humans Phenotype Delivery of Health Care Electronic Health Records Neoplasms Cohort Studies Natural Language Processing
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Durability of dolutegravir plus boosted darunavir as salvage or simplification of salvage regimens in HIV-1 infected, highly treatment-experienced subjects.

HIV clinical trials Dec 1, 2018
BACKGROUND: Dolutegravir (DTG) plus boosted darunavir (bDRV) is a compact, adherence-friendly salvage regimen with the highest genetic barrier to HIV-1 resistance.
Female Reproducibility of Results Aged Pyridones Adult Salvage Therapy Heterocyclic Compounds, 3-Ring Oxazines Male Humans Middle Aged HIV-1 Piperazines HIV Infections Darunavir Italy Cohort Studies HIV Protease Inhibitors HIV Integrase Inhibitors
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Prediction of Atypical Ductal Hyperplasia Upgrades Through a Machine Learning Approach to Reduce Unnecessary Surgical Excisions.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: Surgical excision is currently recommended for all occurrences of atypical ductal hyperplasia (ADH) found on core needle biopsies for malignancy diagnoses and treatment of lesions. The excision of all ADH lesions may lead to overtreatment, w...
Cohort Studies Carcinoma, Intraductal, Noninfiltrating Hyperplasia Humans Machine Learning Female
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A machine learning approach to predict early outcomes after pituitary adenoma surgery.

Neurosurgical focus Nov 1, 2018
OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative risk factors, endocrinopathies, and other tumor-related comorbidities. This heterogeneity makes predicting postoperative outcomes challenging when usin...
Humans Machine Learning Retrospective Studies Female Aged Pituitary Neoplasms Middle Aged Aged, 80 and over Adenoma Adolescent Predictive Value of Tests Young Adult Cohort Studies Adult Treatment Outcome Male
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Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging.

Neurosurgical focus Nov 1, 2018
OBJECTIVEPrognostication and surgical planning for WHO grade I versus grade II meningioma requires thoughtful decision-making based on radiographic evidence, among other factors. Although conventional statistical models such as logistic regression ar...
Meningioma Meningeal Neoplasms Middle Aged Cohort Studies Magnetic Resonance Imaging Neoplasm Grading Humans Female Adult Male Machine Learning Retrospective Studies
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