Results 261 to 270 of about 4,611,339 (304)

Comparative associative and discriminative value of inflammatory, coagulation, hypoxia-perfusion, and electrolyte-metabolic indices for early respiratory physiological decompensation in acute pancreatitis. [PDF]

Front Physiol
Lv X, Hu J, Bao J.
europepmc   +1 more source

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]

PLoS One
Nasir F, Ali Ahmed A, Yevseyeva I, Kiraz MS.   +3 more
europepmc   +1 more source

Diaphragm ultrasound parameters and rapid shallow breathing index for predicting weaning failure in mechanically ventilated infants: a prospective observational PICU study. [PDF]

Eur J Pediatr
Abdelrazic MI, Mokhtar RM, Ahmed AH, Al-Sherif M, El-Mazary AM.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Prediction of Bank Failures

Journal of Finance, 1970
IN A FULL-EMPLOYMENT economy a firm's bankruptcy is prima facie evidence of resource misallocation. This is not to say, however, that the authorities should adopt every policy which minimizes bankruptcy. Fostering monopolies to reduce failures, for example, only increases the misallocation of resources.
Meyer, Paul A, Pifer, Howard W
exaly   +2 more sources

A Bank Failure Prediction Model Based on Bank Operations Profile

Asia-Pacific Journal of Accounting and Economics, 1999
ABSTRACT Previous studies have used accounting ratios to predict bank failures. This study develops a bank failure prediction model based on banks' operations profile as financial intermediaries. The proportions of assets, liabilities and operating costs are used to model the operations of banks. The data include all reporting USA banks with less than $
Ronald Zhao
exaly   +2 more sources

Bank failure prediction: corporate governance and financial indicators [PDF]

Review of Quantitative Finance and Accounting, 2023
This paper reiterates the importance of corporate governance in banks. Failure prediction studies have mainly relied on using financial ratios as predictors. The most suitable financial predictors for banks are financial ratios following the CAMEL rating
Noora Alzayed
exaly   +2 more sources

Managerial Applications of Neural Networks: The Case of Bank Failure Predictions

Management Science, 1992
This paper introduces a neural-net approach to perform discriminant analysis in business research. A neural net represents a nonlinear discriminant function as a pattern of connections between its processing units. Using bank default data, the neural-net approach is compared with linear classifier, logistic regression, kNN, and ID3.
Tam Kar Yan, Melody Y Kiang
exaly   +4 more sources

Bank Failure Prediction

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications, 2020
As with any business, the bankruptcy of a bank manifests itself in the cessation of payments. At this point, the bank must be closed and put into liquidation. Such a situation would cause considerable prejudice to the customers and to to the economy as a whole.
Youness Abakarim, Mohamed Lahby, Abdelbaki Attioui   +2 more
openaire   +2 more sources

PREDICTING FINANCIAL FAILURE OF THE TURKISH BANKS

Annals of Financial Economics, 2006
Banks are the most important financial institutions in Turkey because other financial institutions are not developed efficiently yet. Turkish banks experienced financial difficulties and a substantial amount of banks failed in the past. This event urged the government to initiate measures to prevent banks from getting into financial difficulties. As a
M. METE DOĞANAY, NILDAĞ BAŞAK CEYLAN, RAMAZAN AKTAŞ   +2 more
openaire   +5 more sources