Walsh, Colin G.

2020 Focused Updates to the Asthma Management Guidelines: a report from the National Asthma Education and Prevention Program Coordinating Committee Expert Panel Working Group

Cloutier, M. M., Baptist, A. P., Blake, K. V., Brooks, E. G., Bryant-Stephens, T., DiMango, E., Dixon, A. E., Elward, K. S., Hartert, T., Krishnan, J. A., et al. (2020) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesClinical practice guidelines implementation

Cited by 854

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

Walsh, C. G., Ribeiro, J. D., & Franklin, J. C. (2018) · Journal of Child Psychology and Psychiatry

Suicide and Self-Harm StudiesMachine Learning in Healthcare

Cited by 264

Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

Wilimitis, D., & Walsh, C. G. (2023) · JMIR AI

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 185

Detection of calibration drift in clinical prediction models to inform model updating

Davis, S. E., Greevy, R. A., Lasko, T. A., Walsh, C. G., & Matheny, M. E. (2020) · Journal of Biomedical Informatics

Machine Learning in HealthcareData Stream Mining Techniques

Cited by 160

Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide

Ruderfer, D. M., Walsh, C. G., Aguirre, M. W., Tanigawa, Y., Ribeiro, J. D., Franklin, J. C., & Rivas, M. A. (2020) · Molecular Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 134

Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence

Walsh, C. G., Chaudhry, B., Dua, P., Goodman, K. W., Kaplan, B., Kavuluru, R., Solomonides, A., & Subbian, V. (2020) · JAMIA Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 118

Psychosocial co‐morbidities in Interstitial Cystitis/Bladder Pain syndrome (IC/BPS): A systematic review

McKernan, L. C., Walsh, C. G., Reynolds, W. S., Crofford, L. J., Dmochowski, R. R., & Williams, D. A. (2018) · Neurourology and Urodynamics

Urinary Bladder and Prostate ResearchPsychosomatic Disorders and Their Treatments

Cited by 103

Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model

Walsh, C. G., Johnson, K. B., Ripperger, M., Sperry, S., Harris, J., Clark, N., Fielstein, E., Novak, L., Robinson, K., & Stead, W. W. (2021) · JAMA Network Open

Suicide and Self-Harm StudiesMachine Learning in Healthcare

Cited by 78

The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions

Walsh, C., & Hripcsak, G. (2014) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 75

Predicting imminent suicidal thoughts and nonfatal attempts: The role of complexity

Ribeiro, J. D., Huang, X., Fox, K. R., Walsh, C. G., & Linthicum, K. P. (2019) · Clinical Psychological Science

Suicide and Self-Harm StudiesMental Health via Writing

Cited by 75

Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings

Davis, S. E., Walsh, C. G., & Matheny, M. E. (2022) · Frontiers in Digital Health

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

Risky business: a scoping review for communicating results of predictive models between providers and patients

Walsh, C. G., McKillop, M. M., Lee, P., Harris, J. W., Simpson, C., & Novak, L. L. (2021) · JAMIA Open

Patient-Provider Communication in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 26