Lydia Lam

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Cross Sectional

Artificial Intelligence

Randomized Controlled Trial

Top Venues

Journal of medical Internet research

Journal of cataract and refractive surgery

Clinical & experimental ophthalmology

This page only lists publications with an associated author ORCID identifier.

Publications

Lydia Lam, Liana Dedina, Stephen Bacchi, Stewart R Lake, WengOnn Chan
Focus on reuse: reducing waste associated with topical pre-operative antiseptics. Journal of cataract and refractive surgery (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)
Lydia Lam, Stephen Bacchi, Robert J Casson, Ava Pho, Quyen Vu, Weng Onn Chan
The environmental impact of single-dose eye drops. Clinical & experimental ophthalmology (2023)
Carmelo Zak Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert J Casson, Weng Onn Chan
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of medical Internet research 25 (2023)