Prediction of acute kidney injury with a machine learning algorithm using electronic health record data

H Mohamadlou, A Lynn-Palevsky… - Canadian journal of …, 2018 - journals.sagepub.com
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …
被引用次数：148 相关文章

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.

H Mohamadlou, A Lynn-Palevsky… - … Journal of Kidney …, 2018 - search.ebscohost.com
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …

Prediction of Acute Kidney Injury with a Machine Learning Algorithm using Electronic Health Record Data

H Mohamadlou, A Lynn-Palevsky, C Barton… - bioRxiv, 2017 - biorxiv.org
Background A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.

H Mohamadlou, A Lynn-Palevsky, C Barton… - Canadian Journal of …, 2018 - europepmc.org
Background A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …
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[HTML][HTML] Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

H Mohamadlou, A Lynn-Palevsky… - Canadian Journal of …, 2018 - ncbi.nlm.nih.gov
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …
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[PDF][PDF] Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

H Mohamadlou, A Lynn-Palevsky, C Barton… - 2018 - f.hubspotusercontent30.net
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

H Mohamadlou, A Lynn-Palevsky… - … journal of kidney …, 2018 - pubmed.ncbi.nlm.nih.gov
Background A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …

Prediction of Acute Kidney Injury with a Machine Learning Algorithm using Electronic Health Record Data

H Mohamadlou, A Lynn-Palevsky, C Barton… - 2017 - europepmc.org
Background A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data.

H Mohamadlou, A Lynn-Palevsky… - … Journal of Kidney …, 2018 - search.ebscohost.com
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …