Wong, Andrew

A large-scale evaluation of computational protein function prediction

Radivojac, P., Clark, W. T., Oron, T. R., Schnoes, A. M., Wittkop, T., Sokolov, A., Graim, K., Funk, C., Verspoor, K., Ben-Hur, A., et al. (2013) · Nature Methods

Bioinformatics and Genomic NetworksMachine Learning in Bioinformatics

Cited by 1,028

External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients

Wong, A., Otles, E., Donnelly, J. P., Krumm, A., McCullough, J., DeTroyer-Cooley, O., Pestrue, J., Phillips, M., Konye, J., Penoza, C., et al. (2021) · JAMA Internal Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 995

Toward an understanding of changes in diversity associated with fecal microbiome transplantation based on 16S rRNA gene deep sequencing

Shahinas, D., Silverman, M., Sittler, T., Chiu, C., Kim, P., Allen-Vercoe, E., Weese, S., Wong, A., Low, D. E., & Pillai, D. R. (2012) · mBio

Clostridium difficile and Clostridium perfringens researchGut microbiota and health

Cited by 191

The role of technology in melanoma screening and diagnosis

Young, A. T., Vora, N. B., Cortez, J., Tam, A., Yeniay, Y., Afifi, L., Yan, D., Nosrati, A., Wong, A., Johal, A., et al. (2021) · Pigment Cell & Melanoma Research

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 60

Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic

Wong, A., Cao, J., Lyons, P. G., Dutta, S., Major, V. J., Ötleş, E., & Singh, K. (2021) · JAMA Network Open

Sepsis Diagnosis and TreatmentHealthcare Technology and Patient Monitoring

Cited by 57