svm based regression models Search Results


svm model  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare svm model
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Svm Model, supplied by Johns Hopkins HealthCare, 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/result/svm model/product/Johns Hopkins HealthCare
Average 90 stars, based on 1 article reviews
svm model - by Bioz Stars, 2026-04
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svm regression model  (Baidu Inc)
90
Baidu Inc svm regression model
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Svm Regression Model, supplied by Baidu Inc, 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/result/svm regression model/product/Baidu Inc
Average 90 stars, based on 1 article reviews
svm regression model - by Bioz Stars, 2026-04
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svm classification model based on features of total head and body movement and general facial expressiveness  (Movex Inc)
90
Movex Inc svm classification model based on features of total head and body movement and general facial expressiveness
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Svm Classification Model Based On Features Of Total Head And Body Movement And General Facial Expressiveness, supplied by Movex Inc, 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/result/svm classification model based on features of total head and body movement and general facial expressiveness/product/Movex Inc
Average 90 stars, based on 1 article reviews
svm classification model based on features of total head and body movement and general facial expressiveness - by Bioz Stars, 2026-04
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svm-based prediction model  (Biofluids Inc)
90
Biofluids Inc svm-based prediction model
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Svm Based Prediction Model, supplied by Biofluids Inc, 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/result/svm-based prediction model/product/Biofluids Inc
Average 90 stars, based on 1 article reviews
svm-based prediction model - by Bioz Stars, 2026-04
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svm based second-tier predictive models using one-versus-one classification approach  (Molecular Biosystems Inc)
90
Molecular Biosystems Inc svm based second-tier predictive models using one-versus-one classification approach
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Svm Based Second Tier Predictive Models Using One Versus One Classification Approach, supplied by Molecular Biosystems Inc, 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/result/svm based second-tier predictive models using one-versus-one classification approach/product/Molecular Biosystems Inc
Average 90 stars, based on 1 article reviews
svm based second-tier predictive models using one-versus-one classification approach - by Bioz Stars, 2026-04
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prediction of carcinogenicity for diverse chemicals based on substructure grouping and svm modeling  (Tanabe)
90
Tanabe prediction of carcinogenicity for diverse chemicals based on substructure grouping and svm modeling
a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the <t>SVM</t> model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history <t>of</t> <t>PPD.</t> e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.
Prediction Of Carcinogenicity For Diverse Chemicals Based On Substructure Grouping And Svm Modeling, supplied by Tanabe, 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/result/prediction of carcinogenicity for diverse chemicals based on substructure grouping and svm modeling/product/Tanabe
Average 90 stars, based on 1 article reviews
prediction of carcinogenicity for diverse chemicals based on substructure grouping and svm modeling - by Bioz Stars, 2026-04
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Image Search Results


a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history of PPD. e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.

Journal: Psychiatry research

Article Title: DNA methylation biomarkers prospectively predict both antenatal and postpartum depression

doi: 10.1016/j.psychres.2019.112711

Figure Lengend Snippet: a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the originally published LDA model in women without a psychiatric history. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women without a psychiatric history. c.) Plot of EPDS threshold values (x axis) as a function of the mean model output (predicted probability) for women above the EPDS threshold minus that for women below the threshold (y axis) for the originally published LDA model in women without a psychiatric history. d.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model in women with a previous history of PPD. e.) Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women with a previous history of PPD. f.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the SVM model in women without a psychiatric history. g.) Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. h.)Plot of EPDS threshold values (x axis) as a function of the mean model output for women above the EPDS threshold minus that for women below the threshold (y axis) for the novelly SVM model accounting for antenatal depression status in a combined sample of women with and without a previous history of PPD. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD.

Article Snippet: From a practical standpoint, in order to generate a model with the potential to be efficacious in a clinical environment, we trained a new SVM model on the Johns Hopkins Prospective PPD cohort data incorporating antenatal depression status as an interaction covariate in the model. We applied this to the combined UC Irvine cohort, inputting previous history of PPD as the interacting covariate and observed significant correlations of predictive accuracy with increasing depression severity (T1: Rho= 0.94, p = 0, T2: Rho= 0.91, p = 0, T3: Rho= 0.57, p = 0.013) with T3 samples achieving an AUC of 0.77 (95% CI: 0.64–0.77) to detect an EPDS ≥ 13 ( ).

Techniques:

a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model accounting for antenatal depression status in women from the UC Irvine cohort where antenatal depression status is determined with T1 time point biomarker output. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model accounting for antenatal depression status in the JHU Prospective Neuroimaging cohort. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD. c.) A plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for an SVM model to detect PPD status trained on a model incorporating variation in both TTC9B and HP1BP3 across three technical replicates in a subset of N = 20 women from the JHU Prospective Neuroimaging cohort. Horizontal dashed red lines denote an AUC of 80%.

Journal: Psychiatry research

Article Title: DNA methylation biomarkers prospectively predict both antenatal and postpartum depression

doi: 10.1016/j.psychres.2019.112711

Figure Lengend Snippet: a.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model accounting for antenatal depression status in women from the UC Irvine cohort where antenatal depression status is determined with T1 time point biomarker output. b.)Plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for the SVM model accounting for antenatal depression status in the JHU Prospective Neuroimaging cohort. Horizontal dashed red lines denote an AUC of 70% while a dashed vertical black line denotes an EPDS of ≥ 13, signifying likely PPD. c.) A plot of EPDS threshold values (x axis) as a function of the AUC of prediction for the number of women above that threshold (y axis) for an SVM model to detect PPD status trained on a model incorporating variation in both TTC9B and HP1BP3 across three technical replicates in a subset of N = 20 women from the JHU Prospective Neuroimaging cohort. Horizontal dashed red lines denote an AUC of 80%.

Article Snippet: From a practical standpoint, in order to generate a model with the potential to be efficacious in a clinical environment, we trained a new SVM model on the Johns Hopkins Prospective PPD cohort data incorporating antenatal depression status as an interaction covariate in the model. We applied this to the combined UC Irvine cohort, inputting previous history of PPD as the interacting covariate and observed significant correlations of predictive accuracy with increasing depression severity (T1: Rho= 0.94, p = 0, T2: Rho= 0.91, p = 0, T3: Rho= 0.57, p = 0.013) with T3 samples achieving an AUC of 0.77 (95% CI: 0.64–0.77) to detect an EPDS ≥ 13 ( ).

Techniques: Biomarker Discovery