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Artificial Intelligence
Artificial Intelligence
Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD).
Citation:
Gu Y, Leroy G, Pettygrove S, Galindo MK, Kurzius-Spencer M. Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD). AMIA Annu Symp Proc. 2018 Dec 5;2018:508-517. PMID: 30815091.
Principal Investigator:
Transforming Kidney Care in the Emergency Department Using Artificial Intelligence-Driven Clinical Decision Support
Description:
This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.
Project Dates:
September 30, 2020 to July 31, 2021
A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record.
Citation:
Wang L, Blackley SV, Blumenthal KG, Yerneni S, Goss FR, Lo YC, Shah SN, Ortega CA, Korach ZT, Seger DL, Zhou L. A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record. J Am Med Inform Assoc. 2020 Jun 1;27(6):917-923. doi: 10.1093/jamia/ocaa042. PMID: 32417930.
Principal Investigator:
Project Name:
Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report
Citation:
Leroy G. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report. (Prepared by the University Of Arizona under Grant No. R21 HS024988). Rockville, MD: Agency for Healthcare Research and Quality, 2020.
Principal Investigator:
A factored generalized additive model for clinical decision support in the operating room.
Citation:
Cui Z, Fritz BA, King CR, Avidan MS, Chen Y. A factored generalized additive model for clinical decision support in the operating room. AMIA Annu Symp Proc. 2020 Mar 4;2019:343-52. PMID 32308827.
Principal Investigator:
Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report
Citation:
Avidan M. Anesthesiology Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) - Final Report. (Prepared by the University of Utah under Grant No. R21 HS024581). Rockville, MD: Agency for Healthcare Research and Quality, 2020.
Principal Investigator:
Identification of Patients with Low Life Expectancy - Final Report
Citation:
Turchin A. Identification of Patients with Low Life Expectancy - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024977). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Project Name:
Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.
Citation:
Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int J Med Inform. 2019 Sep;129:234-241. doi:
10.1016/j.ijmedinf.2019.06.007. Epub 2019 Jun 8. PMID: 31445261.
Principal Investigator:
Project Name:
vizHOME: A Context-Based Health Information Needs Assessment Strategy - Final Report
Citation:
Ponto K. vizHOME: A Context-Based Health Information Needs Assessment Strategy - Final Report. (Prepared by the University of Wisconsin - Madison under Grant No. R01 HS022548). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report
Citation:
Pratap J. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024983). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
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