spm software (Salford Systems)
90
Structured Review
Salford Systems
spm software
Spm Software, supplied by Salford Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spm+data+processing+software+3%2E4/spm+software/pmc07045404-70-4-13
Average 90 stars, based on 1 article reviews
Spm Software, supplied by Salford Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spm+data+processing+software+3%2E4/spm+software/pmc07045404-70-4-13
Average 90 stars, based on 1 article reviews
spm software - by Bioz Stars,
2026-11
90/100 stars
Images
Related Articles
other:Article Title: Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm Article Snippet: Data was split into Software:Article Title: Maize yield in smallholder agriculture system—An approach integrating socio-economic and crop management factors Article Snippet: .. The C&RT analysis was done by Article Title: A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network Article Snippet: For the purpose of comparing susceptibility mapping methods in Mizunami City, Japan, the landslide inventory was partitioned into three groups as various training and test datasets to identify the most appropriate method for creating a landslide susceptibility map.. A total of fifteen landslide susceptibility maps were produced using frequency ratio, logistic regression, decision tree, weights of evidence and artificial neural network models, and the results were assessed using existing test landside points and areas under the relative operative characteristic curve (AUC).. The validation results indicated that the logistic regression model could provide the highest AUC value (0.865), and a relatively high percentage of landslide points fell in the high and very high landslide susceptibility classes in this study. |