Danna Su (10931748)

No ORCID on file · 8 papers in corpus · active 2022

Study types

  • dataset 8

Condition tags

  • endometriosis 8
dataset 2022
DataSheet1_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.docx
·doi:10.3389/fgene.2022.848116.s001

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table1_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s002

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table2_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s003

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table3_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s004

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table4_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s005

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table5_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s006

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table6_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s007

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…

dataset 2022
Table7_A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.XLSX
·doi:10.3389/fgene.2022.848116.s008

Endometriosis (EM), an estrogen-dependent inflammatory disease with unknown etiology, affects thousands of childbearing-age couples, and its early diagnosis is still very difficult. With the rapid development of sequencing technology in rec…