Search Results - "Zamanzadeh, Davina"

Data-driven prediction of continuous renal replacement therapy survival by Zamanzadeh, Davina, Feng, Jeffrey, Petousis, Panayiotis, Vepa, Arvind, Sarrafzadeh, Majid, Karumanchi, S. Ananth, Bui, Alex A. T., Kurtz, Ira

“…Continuous renal replacement therapy (CRRT) is a form of dialysis prescribed to severely ill patients who cannot tolerate regular hemodialysis. However, as the…”
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Empowering diversity: striving for inclusivity by leveraging the American Medical Informatics Association's "For Your Informatics" Podcast by Williams, Karmen S, Hui, Vivian, Ross, Mindy, Zamanzadeh, Davina J, Nguyen, Vickie, Khan, Zubin A, Chapman, Wendy W, You, Kai-Lin, Murcko, Anita, Warsame, Leyla, Ingram, Wendy M, Harman, Tiffany, Grando, Adela

“…Starting in 2018, the 'Women in American Medical Informatics Association (AMIA) Podcast' was women-focused, in 2021 the podcast was rebranded and relaunched as…”
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TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings by Gordon, David, Petousis, Panayiotis, Zheng, Henry, Zamanzadeh, Davina, Bui, Alex A T

“…We present a novel approach for imputing missing data that incorporates temporal information into bipartite graphs through an extension of graph representation…”
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Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets by Zamanzadeh, Davina J., Petousis, Panayiotis, Davis, Tyler A., Nicholas, Susanne B., Norris, Keith C., Tuttle, Katherine R., Bui, Alex A. T., Sarrafzadeh, Majid

“…The adoption of electronic health records (EHRs) has made patient data increasingly accessible, precipitating the development of various clinical decision…”
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Predicting Rapid eGFR Decline in the CURE-CKD Registry: FR-PO937 by Davis, Tyler A., Petousis, Panayiotis, Zamanzadeh, Davina J., Norris, Keith C., Duru, Obidiugwu, Tuttle, Katherine R., Bui, Alex, Nicholas, Susanne B., Sarrafzadeh, Majid

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Imputation Is a Hyperparameter: Imputation Deep Learning Model Selection and Evaluation on Large Clinical Datasets by Zamanzadeh, Davina Jasmine

“…Many real-world datasets suffer from missing data, which can introduce uncertainty into ensuing analyses. To address missing data, researchers have been…”
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Predicting Rapid eGFR Decline Using Electronic Health Record (EHR) Data Despite High Missingness in the CURE-CKD Registry: PO0528 by Davis, Tyler A., Petousis, Panayiotis, Zamanzadeh, Davina J., Wang, Xiaoyan, Norris, Keith C., Duru, Obidiugwu, Tuttle, Katherine R., Bui, Alex, Nicholas, Susanne B.

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Using Autoencoders for Imputing Missing Data in eGFR Decline Trajectories of Patients with CKD: PO0526 by Zamanzadeh, Davina J., Petousis, Panayiotis, Davis, Tyler A., Garlid, Anders O., Wang, Xiaoyan, Norris, Keith C., Duru, Obidiugwu, Tuttle, Katherine R., Bui, Alex, Nicholas, Susanne B.

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Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients by Wong, Melissa S, Wells, Matthew, Zamanzadeh, Davina, Akre, Samir, Pevnick, Joshua M, Bui, Alex A T, Gregory, Kimberly D

“…This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively…”
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Disparities in CKD Risks: Data from the CURE-CKD COVID-19 Sub-Registry: PO0093 by Nicholas, Susanne B., Follett, Robert W., Tacorda, Theona T., Wang, Xiaoyan, Ruenger, Dennis, Petousis, Panayiotis, Zhu, Bing, Davis, Tyler A., Zamanzadeh, Davina J., Daratha, Kenn B., Jones, Cami R., Norris, Keith C., Tuttle, Katherine R., Bui, Alex

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Adequacy of Existing Surveillance Systems to Monitor Racism, Social Stigma and COVID Inequities: A Detailed Assessment and Recommendations by Ford, Chandra L, Amani, Bita, Harawa, Nina T, Akee, Randall, Gee, Gilbert C, Sarrafzadeh, Majid, Abotsi-Kowu, Consuela, Fazeli, Shayan, Le, Cindy, Nwankwo, Ezinne, Zamanzadeh, Davina, Ovalle, Anaelia, Ponder, Monica L

“…The populations impacted most by COVID are also impacted by racism and related social stigma; however, traditional surveillance tools may not capture the…”
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A Practical, Principled Measure of Fuzzer Appeal: A Preliminary Study by Gavrilov, Miroslav, Dewey, Kyle, Groce, Alex, Zamanzadeh, Davina, Hardekopf, Ben

“…Fuzzers are important bug-finding tools in both academia and industry. To ensure scientific progress, we need a metric for fuzzer comparison. Bug-based metrics…”
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Domain Adaptation in Children Activity Recognition by Hosseini, Anahita, Zamanzadeh, Davina, Valencia, Lisa, Habre, Rima, Bui, Alex A. T., Sarrafzadeh, Majid

“…Among the major challenges in training predictive models in wireless health, is adapting them to new individuals or groups of people. This is not trivial…”
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COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations by Fazeli, Shayan, Zamanzadeh, Davina, Ovalle, Anaelia, Nguyen, Thu, Gee, Gilbert, Sarrafzadeh, Majid

“…COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and…”
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Cost-Sensitive Diagnosis and Learning Leveraging Public Health Data by Kachuee, Mohammad, Karkkainen, Kimmo, Goldstein, Orpaz, Zamanzadeh, Davina, Sarrafzadeh, Majid

“…Traditionally, machine learning algorithms rely on the assumption that all features of a given dataset are available for free. However, there are many concerns…”
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