2019
DOI: 10.1088/1742-6596/1210/1/012061
|View full text |Cite
|
Sign up to set email alerts
|

Machine learning in the analysis of medical data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 7 publications
0
1
0
Order By: Relevance
“…In addition, the search iteration for the random search and Bayesian optimization was set to 75 with reference to the analysis of previous studies using ML algorithms in other fields (Table 2). (33) K-fold cross-validation was adopted to select the optimum HP. This method can obtain 0.1-3% more accurate results than the hold-out method, which performs training and validation only once.…”
Section: Hp Optimization With Grid Search Random Search and Bayesian Optimizationmentioning
confidence: 99%
“…In addition, the search iteration for the random search and Bayesian optimization was set to 75 with reference to the analysis of previous studies using ML algorithms in other fields (Table 2). (33) K-fold cross-validation was adopted to select the optimum HP. This method can obtain 0.1-3% more accurate results than the hold-out method, which performs training and validation only once.…”
Section: Hp Optimization With Grid Search Random Search and Bayesian Optimizationmentioning
confidence: 99%