Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Leonidas Fegaras"'
Publikováno v:
Technologies, Vol 8, Iss 4, p 68 (2020)
Machine learning-based decision support systems bring relief and support to the decision-maker in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These support systems faci
Externí odkaz:
https://doaj.org/article/d452ad17b4f6472eb4f66388af790e67
Publikováno v:
Technologies, Vol 6, Iss 4, p 111 (2018)
Admission and discharge diagnoses of in-hospital patients are often in discord. Incorrect admission diagnoses are related to an increased cost of care and patient safety. Additionally, due to the seasonality of many conditions, this discord may vary
Externí odkaz:
https://doaj.org/article/a6c85205c882487fa103229585a42081
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Computer Methods and Programs in Biomedicine. 233:107392
Autor:
Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
Proceedings of the VLDB Endowment. 13:1248-1260
Large volumes of data generated by scientific experiments and simulations come in the form of arrays, while programs that analyze these data are frequently expressed in terms of array operations in an imperative, loop-based language. But, as datasets
Autor:
Md Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Hasanuzzaman Noor, Leonidas Fegaras
Publikováno v:
IEEE BigData
Many programs written to analyze data are expressed in terms of array operations in an imperative programming language with loops. However, for data analysts who need to analyze vast volumes of data, large-scale data-intensive processing is becoming
Publikováno v:
Technologies
Volume 8
Issue 4
Technologies, Vol 8, Iss 68, p 68 (2020)
Volume 8
Issue 4
Technologies, Vol 8, Iss 68, p 68 (2020)
Machine learning-based decision support systems bring relief and support to the decision-maker in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These support systems faci
Publikováno v:
PETRA
Recidivism, the propensity of convicts to reoffend after release from prison on parole, is a domain that has both benefited from machine learning based decision support systems and experienced race-based bias in the predictions. In this paper we prop
Publikováno v:
J Healthc Inform Res
Prediction of inpatient mortality is not an easy problem since multiple comorbidities and other factors in synergy have a variable effect on inpatient death risk. This research combined Healthcare Cost and Utilization Project (HCUP) tools (clinical c