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Author Details
Full Name
Lauren Erdman
Affiliation
Center for Computational Medicine, Hospital for Sick Children Research Institute
ORCID
Career Start Year
2016
Papers
36
H Index
13
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36394258
Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment.
Rheumatology (Oxford)
2023
36694664
Differential Expression Enrichment Tool (DEET): an interactive atlas of human differential gene expression.
NAR Genom Bioinform
2023
35867160
Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.
Pediatr Nephrol
2023
36350138
Using a machine learning algorithm to predict outcome of primary cytoreductive surgery in advanced ovarian cancer.
J Surg Oncol
2023
34773476
Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty.
World J Urol
2022
35475554
Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.
Hum Mutat
2022
36215077
Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches.
J Urol
2022
36052317
The silent trial - the bridge between bench-to-bedside clinical AI applications.
Front Digit Health
2022
35946086
Machine learning classification of multiple sclerosis in children using optical coherence tomography.
Mult Scler
2022
35142035
Pre-versus postnatal presentation of posterior urethral valves: a multi-institutional experience.
BJU Int
2022
35048782
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.
Am J Bioeth
2022
34736872
A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept.
J Pediatr Urol
2022
34626159
The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach.
Liver Transpl
2022
34686914
Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves.
Pediatr Nephrol
2022
33003163
Accurate Classification of Pediatric Colonic Inflammatory Bowel Disease Subtype Using a Random Forest Machine Learning Classifier.
J Pediatr Gastroenterol Nutr
2021
33655208
Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes.
NAR Genom Bioinform
2021
33693803
Identifying longitudinal-growth patterns from infancy to childhood: a study comparing multiple clustering techniques.
Int J Epidemiol
2021
34538239
Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs.
BMC Med
2021
34318486
Predictive accuracy of prenatal ultrasound findings for lower urinary tract obstruction: A systematic review and Bayesian meta-analysis.
Prenat Diagn
2021
33982917
A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation: A Pilot Study on a Novel Biomarker.
Transplantation
2021
34362709
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework.
Eur Urol Focus
2021
33168947
Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCD.
Neuropsychopharmacology
2021
31187473
Serotonin system gene variants and regional brain volume differences in pediatric OCD.
Brain Imaging Behav
2020
32092211
Serotonin system genes and hoarding with and without other obsessive-compulsive traits in a population-based, pediatric sample: A genetic association study.
Depress Anxiety
2020
32684443
Trends and relevance in the bladder and bowel dysfunction literature: PlumX metrics contrasted with fragility indicators.
J Pediatr Urol
2020
32188719
A quantitative super-resolution imaging toolbox for diagnosis of motile ciliopathies.
Sci Transl Med
2020
32487887
Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology).
Curr Opin Organ Transplant
2020
30087453
Examination of the shared genetic basis of anorexia nervosa and obsessive-compulsive disorder.
Mol Psychiatry
2020
30607709
PPAR and GST polymorphisms may predict changes in intellectual functioning in medulloblastoma survivors.
J Neurooncol
2019
31321769
Serotonin system genes and obsessive-compulsive trait dimensions in a population-based, pediatric sample: a genetic association study.
J Child Psychol Psychiatry
2019
29017430
Characterizing neurocognitive late effects in childhood leukemia survivors using a combination of neuropsychological and cognitive neuroscience measures.
Child Neuropsychol
2018
29692205
Integration of DNA methylation & health scores identifies subtypes in myalgic encephalomyelitis/chronic fatigue syndrome.
Epigenomics
2018
29622295
Similarity Network Fusion: A Novel Application to Making Clinical Diagnoses.
Rheum Dis Clin North Am
2018
29105664
Brain-Behavior Participant Similarity Networks Among Youth and Emerging Adults with Schizophrenia Spectrum, Autism Spectrum, or Bipolar Disorder and Matched Controls.
Neuropsychopharmacology
2018
27821364
Modification of the association between early adversity and obsessive-compulsive disorder by polymorphisms in the MAOA, MAOB and COMT genes.
Psychiatry Res
2016
26520158
Reach Out and Read is Feasible and Effective for Adolescent Mothers: A Pilot Study.
Matern Child Health J
2016
1 - 36 of 36
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row(s) 1 - 29 of 29
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The Hospital for Sick Children
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SickKids Research Institute
Co-authored papers
9
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University of Toronto
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Michael D Wilson
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Melissa D McCradden
University of Adelaide
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2
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Arpad M Danos
McDonnell Genome Institute, Washington University in St Louis School of Medicine
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Malachi Griffith
Washington University
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James A Knowles
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Obi L Griffith
Washington University
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Elizabeth A Stephenson
The Hospital for Sick Children.
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Vijay Ramaswamy
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Rachel H Giles
University Medical Center Utrecht
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Peter Szatmari
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