Ni Profile
Ni

@skyload_us

Followers
39
Following
56
Media
4
Statuses
31

PDS, ML, NLP, HI, ACI

Denver, CO
Joined January 2014
Don't wanna be here? Send us removal request.
@skyload_us
Ni
4 years
Proud to be part of the community! #FAMIA
@AMIAinformatics
AMIA
4 years
Congratulations to the 2022 Class of #FAMIA! They will be inducted at #CIC22.
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@skyload_us
Ni
4 years
Our recent work on geospatial analysis to improve healthcare service. Congrats Lei!
@CincyInformatix
Cincinnati Children's Biomedical Informatics
4 years
#Geospatial analysis of patient-specific variables from #EHR of @CincyChildrens & @TexasChildrens w/#socioeconomic factors to understand potential underlying contributors to disparities in day-of-surgery cancellation rates across neighborhoods:
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@skyload_us
Ni
5 years
Our work on NLP-based Automated Substance Use Detection has been published in Journal of American Medical Informatics Association. Glad to work with @sarahbealphd to improve evidence-based substance use prevention.
@CincyInformatix
Cincinnati Children's Biomedical Informatics
5 years
Researchers @CincyChildrens led by @skyload_us are harnessing #NaturalLanguageProcessing (#NLP) & #DeepLearning technologies to identify #pediatric #SubstanceUse information from #EHR. Learn more about the Automated Substance Use Detection System (ASUDS):
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@jazzdhal
JazzDhaliwal
5 years
An exciting opportunity for a talented post doc with expertise in NLP to be part of a multi-divisional study. If interested, please apply: https://t.co/McymSZ13Ya. #AI #IBD @CincyInformatix @skyload_us
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@skyload_us
Ni
5 years
I rarely speak out for something. But if I don’t, they would come for me someday like today. #AsianLivesMatter #BlackLivesMatter #metoo
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@skyload_us
Ni
5 years
So proud to work with our Innovation Venture to improve safety of our schools!
@CincyKidsInvent
Cincinnati Children's Innovation Ventures
5 years
What do you get when you pair a #childpsychiatrist & a #bioinformaticist? Problem solvers @skyload_us & @barzmad, who are using Innovation Fund to develop #algorithms for predicting violent behavior in youth. #prevention #mentalhealth #AI @CincyInformatix https://t.co/10OKeXNUa1
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@skyload_us
Ni
5 years
New data scientist opportunity at Cincinnati children’s!
@jazzdhal
JazzDhaliwal
5 years
We have a new and exciting opportunity for a machine learning specialist to develop our data science lab... https://t.co/q7V0pgnziz @CCHMCPostdoc #BigData #MachineLearning #artificalintelligence
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@skyload_us
Ni
5 years
If you are interested in #realworldevidence, if you are planning to exploit data from medical devices such as #smartinfusionpump, you may find our work helpful. How to integrate multiple clinical data sources to understand #medication #safety events. https://t.co/hPdLL6Mrhj
Tweet card summary image
medinform.jmir.org
Background: At present, electronic health records (EHRs) are the central focus of clinical informatics given their role as the primary source of clinical data. Despite their granularity, the EHR data...
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@skyload_us
Ni
6 years
This is a formal release and the service will be updated bi-weekly. Hope it will help our researchers and communities battle #COVID19
@UCincyMedicine
UC College of Medicine
6 years
Dr Yizhao Ni, assistant professor in the @UofCincy College of Medicine Department of Biomedical Informatics, has developed COVID_Miner https://t.co/FYlgrrKuSl, a text search engine to facilitate exploration of coronavirus literature. @skyload_us @CincyInformatix @UC_CoMResearch
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@skyload_us
Ni
6 years
Thank all our speakers for the excellent discussion! @skyload_us @ramooremd @cincymed @AIMed_MD and Dr. Mjaye Mazwi. We covered topics including technologies, infrastructure, perspectives, and special use cases.
@CincyInformatix
Cincinnati Children's Biomedical Informatics
6 years
#DigitalMed20: happening now — Clinical Informatics & #AI Panel Discussion and Live Q&A — join us in Virtual Room B and submit your questions now for our panelists @skyload_us @ramooremd, @cincymed, @AIMed_MD and Dr. Mjaye Mazwi
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@skyload_us
Ni
6 years
Don't miss it. The first ever AI conference hosted by Cincinnati Children's! Virtual, free, and ... no touch! #AI
@CincyInformatix
Cincinnati Children's Biomedical Informatics
6 years
Join us on 6/25 for an engaging, interactive and fully immersive virtual conference experience! #DigitalMed20 is FREE to attend and will showcase how innovative technologies are being used to improve health. Register now to connect with a global audience! https://t.co/TpsZVdsyC5
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@skyload_us
Ni
6 years
It would not cure #Covid, but hope that it would help identify evidence to battle the virus. A text search engine for exploring coronavirus literature (#CORD19) using #NLP: https://t.co/AR7YCnPJns Now in beta testing.
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@skyload_us
Ni
6 years
I like these folks. I appreciate their enthusiasm. Thank you Cincinnati Musicians!
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@skyload_us
Ni
6 years
By leveraging #ArtificialIntelligence #AI , we strive to help #Children and #schools in the post pandemic world. @CincyInformatix https://t.co/r91pFHmOlL
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@heewlim
Hee-Woong Lim
6 years
We are hiring #postdoc and #bioinformatics analyst for regulatory genomics research at @CincyInformatix @CincyChildrens
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@skyload_us
Ni
6 years
I love my #kids and I will do all my best to create a safe school environment for them.
@CincyInformatix
Cincinnati Children's Biomedical Informatics
6 years
A must read this weekend: "Can Artificial Intelligence Stop School Violence?" @CincinnatiMag explores a special pilot program by our very own Dr. Yizhao Ni @skyload_us & @CincyChildrens psychiatrist Dr. Drew Barzman.
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@skyload_us
Ni
6 years
Our BMI PhD student, Lei Liu, is improving WEED via machine learning! @CincyInformatix
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@skyload_us
Ni
6 years
We are presenting~ WEED~ @CincyInformatix @dannytywu
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@skyload_us
Ni
6 years
Interested in a weight error detection tool? Visit our section in #amia19
@CincyInformatix
Cincinnati Children's Biomedical Informatics
6 years
@AMIAinformatics @Kirielson @PeteCincy @EricHallPhD @skyload_us @dannytywu #AMIA2019: 11/19, 8:30-10:00 AM, Georgetown—Our PhD student Lei Liu will present her research on development and evaluation of a #MachineLearning-based approach to detect errors in #pediatric weight data. (7/9)
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