The interpretable machine learning model associated with metal mixtures to identify hypertension via EMR mining method
Abstract There are limited data available regarding the connection between hypertension and heavy metal exposure. The authors intend to establish an interpretable machine learning (ML) model with high efficiency and robustness that identifies hypertension based on heavy metal exposure. Our datasets...
Main Authors: | Site Xu, Mu Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
|
Series: | The Journal of Clinical Hypertension |
Subjects: | |
Online Access: | https://doi.org/10.1111/jch.14768 |
Similar Items
-
Yunus Emre’s Views on the World and Existence (YÛNUS EMRE’NİN DÜNYAYA VE VARLIĞA BAKIŞI)
by: Mustafa ERDOĞAN
Published: (2016-11-01) -
YUNUS EMRE DiVANINDA DÖRT DiNi TERiM
by: İhsan Soysaldı
Published: (2001-06-01) -
YÛNUS EMRE VE MÛSİKÎ [59-78]
by: Yavuz Demirtaş
Published: (2014-06-01) -
What Does Yunus Emre Tell Us?
by: Mehmet Demirci
Published: (2022-05-01) -
Exposure to metals and the disruption of sex hormones in 6–19 years old children: An exploration of mixture effects
by: Xueyan Li, et al.
Published: (2023-01-01)