Performance of Ductus Venosus Doppler (at 11–13 + 6 Weeks) in Predicting Adverse Fetal Outcomes in Indian Population
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.15976
Abstract: The objective of this study is to examine the performance of Ductus venosus (DV) Doppler done at the routine first trimester screening (11–13 + 6 weeks) in predicting the adverse fetal outcomes in Indian population. read more here.
Keywords: weeks predicting; ductus venosus; performance ductus; venosus doppler ... See more keywords
Risk Stratification Index 3.0, a Broad Set of Models for Predicting Adverse Events during and after Hospital Admission
Sign Up to like & getrecommendations! Published in 2022 at "Anesthesiology"
DOI: 10.1097/aln.0000000000004380
Abstract: Background: Risk stratification helps guide appropriate clinical care. Our goal was to develop and validate a broad suite of predictive tools based on International Classification of Diseases, Tenth Revision, diagnostic and procedural codes for predicting… read more here.
Keywords: risk stratification; hospital admission; risk; predicting adverse ... See more keywords
An External Validation Study of the Oakland and Glasgow-Blatchford Scores for Predicting Adverse Outcomes of Acute Lower Gastrointestinal Bleeding in an Asian Population
Sign Up to like & getrecommendations! Published in 2021 at "Gastroenterology Research and Practice"
DOI: 10.1155/2021/8674367
Abstract: Aims This study is aimed at (1) validating the performance of Oakland and Glasgow-Blatchford (GBS) scores and (2) comparing these scores with the SALGIB score in predicting adverse outcomes of acute lower gastrointestinal bleeding (ALGIB)… read more here.
Keywords: predicting adverse; adverse outcomes; study; bleeding ... See more keywords
What is the accuracy of multi-parametric magnetic resonance imaging in predicting adverse pathology in patients undergoing radical prostatectomy?
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2018.36.6_suppl.139
Abstract: 139Background: Few studies have examined the accuracy of preoperative multi-parametric magnetic resonance imaging (MP-MRI) in predicting adverse pathological features in patients undergoing radical prostatectomy (RP) for localized prostate cancer (PCa). Methods: We retrospectively analyzed the… read more here.
Keywords: predicting adverse; resonance imaging; parametric magnetic; magnetic resonance ... See more keywords
Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia
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DOI: 10.3389/fbioe.2022.903426
Abstract: Background: The ability to assess adverse outcomes in patients with community-acquired pneumonia (CAP) could improve clinical decision-making to enhance clinical practice, but the studies remain insufficient, and similarly, few machine learning (ML) models have been… read more here.
Keywords: adverse outcomes; machine learning; acquired pneumonia; community acquired ... See more keywords
Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus
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DOI: 10.3390/diagnostics13040612
Abstract: Predicting adverse outcomes is essential for pregnant women with systemic lupus erythematosus (SLE) to minimize risks. Applying statistical analysis may be limited for the small sample size of childbearing patients, while the informative medical records… read more here.
Keywords: lupus erythematosus; machine learning; pregnant women; systemic lupus ... See more keywords