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The publication data currently available has been vetted by Vanderbilt faculty, staff, administrators and trainees. The data itself is retrieved directly from NCBI's PubMed and is automatically updated on a weekly basis to ensure accuracy and completeness.

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Results: 1 to 10 of 704

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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
Jamian L, Wheless L, Crofford LJ, Barnado A
(2019) Arthritis Res Ther 21: 305
MeSH Terms: Adult, Aged, Aged, 80 and over, Algorithms, Databases, Factual, Electronic Health Records, Female, Humans, International Classification of Diseases, Machine Learning, Male, Middle Aged, Reproducibility of Results, Scleroderma, Systemic, Sensitivity and Specificity
Added March 25, 2020
0 Communities
1 Members
0 Resources
15 MeSH Terms
Magnetic resonance imaging of mean cell size in human breast tumors.
Xu J, Jiang X, Li H, Arlinghaus LR, McKinley ET, Devan SP, Hardy BM, Xie J, Kang H, Chakravarthy AB, Gore JC
(2020) Magn Reson Med 83: 2002-2014
MeSH Terms: Animals, Breast Neoplasms, Cell Size, Diffusion Magnetic Resonance Imaging, Humans, Magnetic Resonance Imaging, Sensitivity and Specificity
Added March 18, 2020
0 Communities
2 Members
0 Resources
7 MeSH Terms
Classifying intracranial stenosis disease severity from functional MRI data using machine learning.
Waddle SL, Juttukonda MR, Lants SK, Davis LT, Chitale R, Fusco MR, Jordan LC, Donahue MJ
(2020) J Cereb Blood Flow Metab 40: 705-719
MeSH Terms: Brain, Case-Control Studies, Cerebral Angiography, Cerebrovascular Circulation, Female, Humans, Image Processing, Computer-Assisted, Machine Learning, Magnetic Resonance Angiography, Middle Aged, Moyamoya Disease, Sensitivity and Specificity, Severity of Illness Index, Young Adult
Added March 24, 2020
0 Communities
1 Members
0 Resources
14 MeSH Terms
Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics.
Wells QS, Gupta DK, Smith JG, Collins SP, Storrow AB, Ferguson J, Smith ML, Pulley JM, Collier S, Wang X, Roden DM, Gerszten RE, Wang TJ
(2019) J Am Coll Cardiol 73: 2195-2205
MeSH Terms: Academic Medical Centers, Acceleration, Aged, Automation, Biological Specimen Banks, Biomarkers, Cohort Studies, Electronic Health Records, Female, Heart Failure, Humans, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Proteomics, Reproducibility of Results, Risk Assessment, Sensitivity and Specificity, Thrombospondins
Added March 3, 2020
0 Communities
2 Members
0 Resources
20 MeSH Terms
Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms.
Jorge A, Castro VM, Barnado A, Gainer V, Hong C, Cai T, Cai T, Carroll R, Denny JC, Crofford L, Costenbader KH, Liao KP, Karlson EW, Feldman CH
(2019) Semin Arthritis Rheum 49: 84-90
MeSH Terms: Adult, Aged, Algorithms, Databases, Factual, Electronic Health Records, Female, Humans, Lupus Erythematosus, Systemic, Machine Learning, Male, Middle Aged, Natural Language Processing, Sensitivity and Specificity
Added March 25, 2020
0 Communities
1 Members
0 Resources
13 MeSH Terms
Beyond the message: advantages of snapshot proteomics with single-cell mass cytometry in solid tumors.
Mistry AM, Greenplate AR, Ihrie RA, Irish JM
(2019) FEBS J 286: 1523-1539
MeSH Terms: Humans, Image Cytometry, Mass Spectrometry, Neoplasms, Precision Medicine, Proteins, Proteomics, Sensitivity and Specificity, Signal Transduction, Single-Cell Analysis, Tumor Microenvironment
Added December 16, 2018
3 Communities
2 Members
0 Resources
11 MeSH Terms
Using an artificial neural network to predict traumatic brain injury.
Hale AT, Stonko DP, Lim J, Guillamondegui OD, Shannon CN, Patel MB
(2018) J Neurosurg Pediatr 23: 219-226
MeSH Terms: Adolescent, Algorithms, Area Under Curve, Brain Injuries, Traumatic, Child, False Positive Reactions, Female, Humans, Male, Neural Networks, Computer, Predictive Value of Tests, Sensitivity and Specificity, Tomography, X-Ray Computed
Added January 23, 2019
0 Communities
1 Members
0 Resources
13 MeSH Terms
Utility of Routine Spirometry Measures for Surveillance of Idiopathic Subglottic Stenosis.
Carpenter DJ, Ferrante S, Bakos SR, Clary MS, Gelbard AH, Daniero JJ
(2019) JAMA Otolaryngol Head Neck Surg 145: 21-26
MeSH Terms: Adult, Aged, Disease Progression, Female, Follow-Up Studies, Humans, Laryngostenosis, Middle Aged, Peak Expiratory Flow Rate, Prognosis, Retrospective Studies, Sensitivity and Specificity, Spirometry
Added July 30, 2020
0 Communities
1 Members
0 Resources
MeSH Terms
Pathologic Fibroblasts in Idiopathic Subglottic Stenosis Amplify Local Inflammatory Signals.
Morrison RJ, Katsantonis NG, Motz KM, Hillel AT, Garrett CG, Netterville JL, Wootten CT, Majka SM, Blackwell TS, Drake WP, Gelbard A
(2019) Otolaryngol Head Neck Surg 160: 107-115
MeSH Terms: Biopsy, Needle, Case-Control Studies, Cell Proliferation, Cells, Cultured, Cicatrix, Cytokines, Enzyme-Linked Immunosorbent Assay, Female, Fibroblasts, Fibrosis, Flow Cytometry, Humans, Immunohistochemistry, Interleukin-17, Laryngostenosis, Male, Polymerase Chain Reaction, Reference Values, Sensitivity and Specificity, Signal Transduction
Added July 30, 2020
0 Communities
1 Members
0 Resources
MeSH Terms
Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain.
Schilling KG, Gao Y, Stepniewska I, Janve V, Landman BA, Anderson AW
(2019) Magn Reson Imaging 55: 7-25
MeSH Terms: Algorithms, Animals, Brain, Brain Mapping, Diffusion Tensor Imaging, Image Processing, Computer-Assisted, Models, Anatomic, Motor Cortex, Probability, Reproducibility of Results, Saimiri, Sensitivity and Specificity, Software, White Matter
Added March 26, 2019
0 Communities
1 Members
0 Resources
14 MeSH Terms