Search Results - "Carey, Kyle"

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model by Koyner, Jay L., Carey, Kyle A., Edelson, Dana P., Churpek, Matthew M.

“…OBJECTIVES:To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients…”
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Identifying Novel Sepsis Subphenotypes Using Temperature Trajectories by Bhavani, Sivasubramanium V, Carey, Kyle A, Gilbert, Emily R, Afshar, Majid, Verhoef, Philip A, Churpek, Matthew M

“…Sepsis is a heterogeneous syndrome, and identifying clinically relevant subphenotypes is essential. To identify novel subphenotypes in hospitalized patients…”
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Combining patient visual timelines with deep learning to predict mortality by Mayampurath, Anoop, Sanchez-Pinto, L Nelson, Carey, Kyle A, Venable, Laura-Ruth, Churpek, Matthew

“…Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health…”
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data by Rojas, Juan C, Carey, Kyle A, Edelson, Dana P, Venable, Laura R, Howell, Michael D, Churpek, Matthew M

“…Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare…”
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Identifying High-Risk Subphenotypes and Associated Harms From Delayed Antibiotic Orders and Delivery by Han, Xuan, Spicer, Alexandra, Carey, Kyle A., Gilbert, Emily R., Laiteerapong, Neda, Shah, Nirav S., Winslow, Christopher, Afshar, Majid, Kashiouris, Markos G., Churpek, Matthew M.

“…Early antibiotic administration is a central component of sepsis guidelines, and delays may increase mortality. However, prior studies have examined the delay…”
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Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury by Churpek, Matthew M, Carey, Kyle A, Edelson, Dana P, Singh, Tripti, Astor, Brad C, Gilbert, Emily R, Winslow, Christopher, Shah, Nirav, Afshar, Majid, Koyner, Jay L

“…Acute kidney injury (AKI) is associated with increased morbidity and mortality in hospitalized patients. Current methods to identify patients at high risk of…”
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Determining the Electronic Signature of Infection in Electronic Health Record Data by Churpek, Matthew M., Dumanian, Jay, Dussault, Nicole, Bhavani, Sivasubramanium V., Carey, Kyle A., Gilbert, Emily R., Arain, Erum, Ye, Chen, Winslow, Christopher J., Shah, Nirav S., Afshar, Majid, Edelson, Dana P.

“…Recent sepsis studies have defined patients as "infected" using a combination of culture and antibiotic orders rather than billing data. However, the accuracy…”
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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models by Gao, Jifan, Chen, Guanhua, O'Rourke, Ann P, Caskey, John, Carey, Kyle A, Oguss, Madeline, Stey, Anne, Dligach, Dmitriy, Miller, Timothy, Mayampurath, Anoop, Churpek, Matthew M, Afshar, Majid

“…The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma…”
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Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals by Churpek, Matthew M., Carey, Kyle A., Dela Merced, Nino, Prister, James, Brofman, John, Edelson, Dana P.

“…OBJECTIVES:Early warning scores were developed to identify high-risk patients on the hospital wards. Research on early warning scores has focused on patients…”
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Temperature Trajectory Subphenotypes Correlate With Immune Responses in Patients With Sepsis by Bhavani, Sivasubramanium V., Wolfe, Krysta S., Hrusch, Cara L., Greenberg, Jared A., Krishack, Paulette A., Lin, Julie, Lecompte-Osorio, Paola, Carey, Kyle A., Kress, John P., Coopersmith, Craig M., Sperling, Anne I., Verhoef, Philip A., Churpek, Matthew M., Patel, Bhakti K.

“…OBJECTIVES:We recently found that distinct body temperature trajectories of infected patients correlated with survival. Understanding the relationship between…”
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Obesity Contributes to Ovarian Cancer Metastatic Success through Increased Lipogenesis, Enhanced Vascularity, and Decreased Infiltration of M1 Macrophages by Liu, Yueying, Metzinger, Matthew N, Lewellen, Kyle A, Cripps, Stephanie N, Carey, Kyle D, Harper, Elizabeth I, Shi, Zonggao, Tarwater, Laura, Grisoli, Annie, Lee, Eric, Slusarz, Ania, Yang, Jing, Loughran, Elizabeth A, Conley, Kaitlyn, Johnson, Jeff J, Klymenko, Yuliya, Bruney, Lana, Liang, Zhong, Dovichi, Norman J, Cheatham, Bentley, Leevy, W Matthew, Stack, M Sharon

“…Epithelial ovarian cancer (EOC) is the leading cause of death from gynecologic malignancy, with high mortality attributable to widespread intraperitoneal…”
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Variation in Best Practice Measures in Patients With Severe Hospital-Acquired Acute Kidney Injury: A Multicenter Study by Moledina, Dennis G., Belliveau, Olivia, Yamamoto, Yu, Arora, Tanima, Carey, Kyle A., Churpek, Matthew, Martin, Melissa, Partridge, Caitlin M., Mansour, Sherry G., Parikh, Chirag R., Koyner, Jay L., Wilson, F. Perry

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Measuring eHealth Literacy in Urban Hospitalized Patients: Implications for the Post-COVID World by Vollbrecht, Hanna, Arora, Vineet M., Otero, Sebastian, Carey, Kyle A., Meltzer, David O., Press, Valerie G.

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Allergic Immune Diseases and the Risk of Mortality Among Patients Hospitalized for Acute Infection by Verhoef, Philip A., Bhavani, Sivasubramanium V., Carey, Kyle A., Churpek, Matthew M.

“…OBJECTIVES:The immune response during sepsis remains poorly understood and is likely influenced by the host’s preexisting immunologic comorbidities. Although…”
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Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection by Benzoni, Nicole S, Carey, Kyle A, Bewley, Alice F, Klaus, Jeff, Fuller, Brian M, Edelson, Dana P, Churpek, Matthew M, Bhavani, Sivasubramanium V, Lyons, Patrick G

“…Despite etiologic and severity heterogeneity in neutropenic sepsis, management is often uniform. Understanding host response clinical subphenotypes might…”
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The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data by Bhavani, Sivasubramanium V., Lonjers, Zachary, Carey, Kyle A., Afshar, Majid, Gilbert, Emily R., Shah, Nirav S., Huang, Elbert S., Churpek, Matthew M.

“…OBJECTIVES:Bacteremia and fungemia can cause life-threatening illness with high mortality rates, which increase with delays in antimicrobial therapy. The…”
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Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients by Arnolds, David E, Carey, Kyle A, Braginsky, Lena, Holt, Roxane, Edelson, Dana P, Scavone, Barbara M, Churpek, Matthew

“…Early warning scores are designed to identify hospitalized patients who are at high risk of clinical deterioration. Although many general scores have been…”
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Development and external validation of deep learning clinical prediction models using variable-length time series data by Bashiri, Fereshteh S, Carey, Kyle A, Martin, Jennie, Koyner, Jay L, Edelson, Dana P, Gilbert, Emily R, Mayampurath, Anoop, Afshar, Majid, Churpek, Matthew M

“…To compare and externally validate popular deep learning model architectures and data transformation methods for variable-length time series data in 3 clinical…”
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Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit by Liu, Vincent X, Lu, Yun, Carey, Kyle A, Gilbert, Emily R, Afshar, Majid, Akel, Mary, Shah, Nirav S, Dolan, John, Winslow, Christopher, Kipnis, Patricia, Edelson, Dana P, Escobar, Gabriel J, Churpek, Matthew M

“…Risk scores used in early warning systems exist for general inpatients and patients with suspected infection outside the intensive care unit (ICU), but their…”
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Characteristics of Rapid Response Calls in the United States: An Analysis of the First 402,023 Adult Cases From the Get With the Guidelines Resuscitation-Medical Emergency Team Registry by Lyons, Patrick G, Edelson, Dana P, Carey, Kyle A, Twu, Nicole M, Chan, Paul S, Peberdy, Mary Ann, Praestgaard, Amy, Churpek, Matthew M

“…OBJECTIVES:To characterize the rapid response team activations, and the patients receiving them, in the American Heart Association-sponsored Get With The…”
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