AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records medinform.jmir.org/2020/10/e21798

Such inspiring panel discussions in #GYSS2021 @gyss_sg , the questions and comments in the chatbox are also very interesting😆. Just a shame that we can't meet and explore #Singapore

The Score for Emergency Risk Prediction (SERP), an interpretable #machinelearning tool, has the potential to predict mortality probability rates in an emergency department (ED) triage, according to recent reports. healthitanalytics.com/news/machine-l… . #HIT #analytics #ML #AI

Hello SF @ San Francisco International Airport (SFO) instagram.com/p/CVo1FjzlRqc/…

A Machine Learning Triage Tool for Risk of Death After Emergency Admission ja.ma/3EyRGPx via JAMA Network Open part of JAMA Network

Our latest work regarding temporal #EHR data analysis is online now at Journal of Biomedical Informatics ! This systematic review summarizes challenges and current #DeepLearning solutions for #TemporalData representation. Hope it could provide insights for future researchers in the field

Nice working with @Yuan_Han_ Mornin Feng Duke-NUS Medical School NUS Computing NUS Duke University blog.nus.edu.sg/liunan/ blog.nus.edu.sg/bibhas/ tinyurl.com/ythjyphu #DukeNUS #DeepLearning #EHR

Published two articles with Journal of Biomedical Informatics in 2021. The publication services were smooth and efficient. Look forward to more publications with Journal of Biomedical Informatics in 2022.

The Committee

Nigam Shah (Nigam Shah), MBBS, PhD, professor of medicine and of biomedical data science, has been appointed Stanford Health Care’s inaugural chief data scientist. stan.md/3MokSNJ #Data #Biomedicine

Our latest work regarding an interpretable machine learning scoring tool for estimating time to emergency readmissions with large-scale #ehr using #DataScience techniques. thelancet.com/journals/eclin…

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Risk scoring with an integrated interpretable machine learning system that combines AutoScore (pubmed.ncbi.nlm.nih.gov/33084589/ ) and ShapleyVIC (doi.org/10.1016/j.patt… ).

It's good to see that the AutoScore concept has been recognized by a premier journal in the field and we look forward to seeing its continuous impact and wide collaboration. If you are interested in using or extending AutoScore, feel free to reach out!I Nan Liu, Duke-NUS @Han_Yuan_Med

Time flies, and I have to say goodbye to #DukeNUS. It's so honored to have studied and worked here for the past five years. I am thankful for everyone who helped me through this wonderful journey. I look forward to my next chapter at #Stanford starting next month

Nice and very solid work!

So glad to see #AutoScore has been used as a main methodology in various clinical applications published by others. It's just 2 years since we released the #AutoScore R package.

I'm honored to present our research at #AMIA2024, showcasing a novel language model for maternal and child health. Excited to connect with colleagues and exchange insights at the conference—who else is attending? Let me know! Session Code: S07 on Sunday 3.30pm