About: Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury

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scientific article published in Scientific Reports

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rdf:type	Item
description	artículu científicu (ast) wetenschappelijk artikel (nl) article publié dans la revue scientifique Scientific Reports (fr) наукова стаття, опублікована в листопаді 2018 (uk) im November 2018 veröffentlichter wissenschaftlicher Artikel (de) scientific article published in Scientific Reports (en)
publication date	wds:Q59812769-F2137EE1-5621-4042-8926-89FC62BAAEED
publication date	2018-11-23 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q59812769-8A5D845C-ECCD-4077-BA8C-CD96D51E06A9
language of work or name	English
cites work	wds:Q59812769-000FF777-023E-4CBF-B62A-33DA4AE68C7A wds:Q59812769-016636D5-1868-49FD-B6DB-62395A80285B wds:Q59812769-0289C00B-9290-48DD-94F7-645E4253053C wds:Q59812769-065A2478-7279-4E5A-ADC8-F9F4AD6BA701 wds:Q59812769-068983AE-CE2C-4358-90F2-439C5A70F4B5 wds:Q59812769-0D5C995B-5C2F-41CE-A3A9-381A159E9682 wds:Q59812769-0D932EBA-ED14-4F06-8918-15E5DDB93900 wds:Q59812769-15FD1EAC-E0E0-4919-88C3-BF5209AB22FE wds:Q59812769-25620BEF-8D6A-4CE1-B982-47835BC700BE wds:Q59812769-34357A33-1900-455A-B4FA-5DCAC2ED174D wds:Q59812769-3B1567EC-D09F-4691-9B56-33E850C14B31 wds:Q59812769-576185F9-4096-46E1-AE64-2BF43719D65E wds:Q59812769-680639F3-9DBC-42D9-82BC-BFF3A949791F wds:Q59812769-6A391E4A-0545-4A9B-A797-C93DE343A781 wds:Q59812769-6CB1711A-ED56-4916-9A10-CA2F653B2291 wds:Q59812769-6D839E06-84FC-453C-9811-2B77FB175037 wds:Q59812769-70306455-2A70-40FA-BB49-340A14D0BC37 wds:Q59812769-7B2DFD32-E083-495C-BB9E-20539293E9A9 wds:Q59812769-7D561150-DB47-4F07-8C04-5A2312188D14 wds:Q59812769-8270A604-EAB7-4D8B-BD38-F57C499B14FB wds:Q59812769-875358B0-E405-41F7-9A13-47ECBF8CD4B9 wds:Q59812769-8B909153-25CD-4524-8AE0-920E16760F1E wds:Q59812769-94DE8A50-7887-453E-8F42-4B8C9048BCC2 wds:Q59812769-9D7FC697-ED36-4463-9A14-E22684E71108 wds:Q59812769-9F7800E8-C24B-445B-A121-68F68B0302E3 wds:Q59812769-A39BE972-CAE1-4603-9292-E3351745303B wds:Q59812769-BBA989A7-DF21-4BFC-9E6A-91D82C0965AD wds:Q59812769-BE4F8A79-3C38-4705-B812-2E7BE202F303 wds:Q59812769-C5CCD087-E2C7-49D9-86F7-5762F936AB77 wds:Q59812769-C825AAFA-FA8E-4076-B78D-C7465AB21243 wds:Q59812769-CD34800C-55AA-4A5D-A81F-B767AB2ECDFF wds:Q59812769-CF38C237-9BB0-4C0C-9BFB-D70180DDCFB5 wds:Q59812769-D0AA2C00-4CE9-4034-B108-24BE7326FCC6 wds:Q59812769-D79C135E-D8FA-41BF-82CC-F19A27C817D1 wds:Q59812769-D8FEB73A-BEE2-4F27-9DB6-9F7AA4F74384 wds:Q59812769-E592D5F6-02A9-4CD8-A19A-9C8E4589E505 wds:Q59812769-F7A362BB-C8DE-4474-8C9A-CF90D879A96A
cites work	Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy Greedy function approximation: A gradient boosting machine Gene selection and classification of microarray data using random forest. Risk factors for acute renal failure: inherent and modifiable risks. Random Forests A review of feature selection techniques in bioinformatics A European Renal Best Practice (ERBP) position statement on the Kidney Disease Improving Global Outcomes (KDIGO) clinical practice guidelines on acute kidney injury: part 1: definitions, conservative management and contrast-induced nephropathy Stability and aggregation of ranked gene lists Estimating attributes: Analysis and extensions of RELIEF World incidence of AKI: a meta-analysis Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). Discrimination and calibration of mortality risk prediction models in interventional cardiology. The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures Hypoalbuminemia and acute kidney injury: a meta-analysis of observational clinical studies Risk factors for acute kidney injury in older adults with critical illness: a retrospective cohort study Novel prediction score including pre- and intraoperative parameters best predicts acute kidney injury after liver surgery The use of the area under the ROC curve in the evaluation of machine learning algorithms Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. The impact of hyperuricemia on in-hospital mortality and incidence of acute kidney injury in patients undergoing percutaneous coronary intervention Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury Development of a Multicenter Ward-Based AKI Prediction Model Novel risk factors for acute kidney injury Toward personalizing treatment for depression: predicting diagnosis and severity AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin Stable feature selection based on the ensemble L 1 -norm support vector machine for biomarker discovery Dyschloremia Is a Risk Factor for the Development of Acute Kidney Injury in Critically Ill Patients Association between Obstructive Sleep Apnea and Acute Kidney Injury in Critically Ill Patients: A Propensity-Matched Study. Stability of feature selection algorithms: a study on high-dimensional spaces An experimental comparison of feature selection methods on two-class biomedical datasets. The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery--development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study. A risk prediction score for acute kidney injury in the intensive care unit. Prediction and detection models for acute kidney injury in hospitalized older adults Feature Selection and Kernel Learning for Local Learning-Based Clustering.
author name string	wds:Q59812769-056A28A9-48BB-47B4-9DE7-82D096FC0BAA wds:Q59812769-4B5B2C05-73B4-4C25-8D7D-DCB039B44FD5 wds:Q59812769-51051084-B73C-4860-994D-4C33E888236D wds:Q59812769-B36FAB60-CB74-4B82-927F-CB8C03D38199 wds:Q59812769-BE128A30-C91B-44BF-814D-7FA3E2DAA9CF wds:Q59812769-C2A2C6D8-D5E6-4D69-B3EF-C2FFD76EE473
author name string	Mei Liu Yong Hu Lemuel R Waitman Weiqi Chen Lijuan Wu Xiaoxiao Liu
rdfs:label	Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury (en) Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury (nl)
skos:prefLabel	Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury (en)

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