Abstract
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Authors: Adesh Kadambi, Timothy Wen, Eliza Nguyen, Sarah Dolisca, Senan Ebrahim, Ali Ebrahim
Conference: 2023 ACOG Annual & Scientific Meeting
Key Findings: The reduced model has been deployed for demonstration at hypertension.delfina.com. Admission for HDP can be predicted with excellent discriminative ability using random forest prediction modeling. External validation and integration with electronic health records is needed to assist providers in triaging and informing at-risk patients.
Abstract
Authors: Adesh Kadambi, Timothy Wen, Eliza Nguyen, Sarah Dolisca, Senan Ebrahim, Ali Ebrahim
Conference: 2023 ACOG Annual & Scientific Meeting
Key Findings: The reduced model has been deployed for demonstration at hypertension.delfina.com. Admission for HDP can be predicted with excellent discriminative ability using random forest prediction modeling. External validation and integration with electronic health records is needed to assist providers in triaging and informing at-risk patients.
Abstract
Authors: Adesh Kadambi, Timothy Wen, Eliza Nguyen, Sarah Dolisca, Senan Ebrahim, Ali Ebrahim
Conference: 2023 ACOG Annual & Scientific Meeting
Key Findings: The reduced model has been deployed for demonstration at hypertension.delfina.com. Admission for HDP can be predicted with excellent discriminative ability using random forest prediction modeling. External validation and integration with electronic health records is needed to assist providers in triaging and informing at-risk patients.
Abstract
Authors: Adesh Kadambi, Timothy Wen, Eliza Nguyen, Sarah Dolisca, Senan Ebrahim, Ali Ebrahim
Conference: 2023 ACOG Annual & Scientific Meeting
Key Findings: The reduced model has been deployed for demonstration at hypertension.delfina.com. Admission for HDP can be predicted with excellent discriminative ability using random forest prediction modeling. External validation and integration with electronic health records is needed to assist providers in triaging and informing at-risk patients.
Abstract
Authors: Adesh Kadambi, Timothy Wen, Eliza Nguyen, Sarah Dolisca, Senan Ebrahim, Ali Ebrahim
Conference: 2023 ACOG Annual & Scientific Meeting
Key Findings: The reduced model has been deployed for demonstration at hypertension.delfina.com. Admission for HDP can be predicted with excellent discriminative ability using random forest prediction modeling. External validation and integration with electronic health records is needed to assist providers in triaging and informing at-risk patients.
Abstract
