Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network. - Wikidata - wikimedia - TriplyDB

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

http://www.wikidata.org/entity/Q37327254

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Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit.Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

P2860

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P2860

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

http://www.wikidata.org/entity/Q37327254

description

2016 թվականի հունվարին հրատարակված գիտական հոդված

@hy

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on January 2016

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

name

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@en

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@nl

type

label

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@en

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@nl

prefLabel

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@en

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@nl

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P1433

Journal of Healthcare Engineering

P1476

Length of Hospital Stay Predic ...... ing Artificial Neural Network.

@en

P2093

Fu-Man Lin

http://www.w3.org/2001/XMLSchema#string

Hao-Yuan Song

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Hsiu-Mei Lin

http://www.w3.org/2001/XMLSchema#string

Pei-Fang Jennifer Tsai

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Po-Chia Chen

http://www.w3.org/2001/XMLSchema#string

Qiou-Pieng Huang

http://www.w3.org/2001/XMLSchema#string

Yen-You Chen

http://www.w3.org/2001/XMLSchema#string

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Logistic regression and artificial neural network classification models: a methodology review.

Using an Artificial Neural Networks (ANNs) Model for Prediction of Intensive Care Unit (ICU) Outcome and Length of Stay at Hospital in Traumatic Patients.

International experience on the use of artificial neural networks in gastroenterology.

The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors.

Factors affecting length of stay following colonic resection.

Modeling length of stay as an optimized two-class prediction problem.

A robustified modeling approach to analyze pediatric length of stay.

Predicting prolonged length of hospital stay in older emergency department users: use of a novel analysis method, the Artificial Neural Network.

P31

scholarly article

P356

10.1155/2016/7035463

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P478

2016

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2016-01-01T00:00:00Z

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300087802

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P698

27195660

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P932

5058566

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