Unstructured Text in EMR Improves Prediction of Death After Surgery in Children

doi 10.20944/preprints201810.0678.v1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Prediction and Analysis of Unstructured Text Data for Efficient Decision Making

International Journal for Research in Applied Science and Engineering Technology
2019English

Quantitative Measurement of Nasality in EMR Children

Journal of Communication Disorders
LinguisticsLanguageCognitive NeuroscienceCognitive PsychologyHearingLPNSpeechLVNExperimental
1974English

Combination of EuroSCORE and Cardiac Troponin I Improves the Prediction of Adverse Outcome After Cardiac Surgery

Anesthesiology
AnesthesiologyPain Medicine
2011English

A Survey of Unstructured Text Summarization Techniques

International Journal of Advanced Computer Science and Applications
Computer Science
2014English

External Validation of Prediction Models for Time to Death in Potential Donors After Circulatory Death

American Journal of Transplantation
TransplantationAllergyImmunologyPharmacology
2017English

Diaphragmatic Nerve Palsy After Cardiac Surgery in Children

World journal for pediatric & congenital heart surgery
PediatricsCardiologyPerinatologyCardiovascular MedicineMedicineChild HealthSurgery
2013English

Outcome Prediction After Open Heart Surgery

The Egyptian Cardiothoracic Surgeon
2018English

Low T3 Syndrome Improves Risk Prediction of In-Hospital Cardiovascular Death in Patients With Acute Myocardial Infarction

Journal of Cardiology
Cardiovascular MedicineCardiology
2018English

Text Mining Approach for Unstructured Data Using SVM

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy