Jinghong Zhang

Nov 14, 2024 | cureus.com | Jinghong Zhang |David Dalton

SpecialtyPlease chooseI'm not a medical professional. Allergy and ImmunologyAnatomyAnesthesiologyBiostatisticsCardiac/Thoracic/Vascular SurgeryCardiologyCritical CareDentistryDermatologyDiabetes and EndocrinologyEmergency MedicineEpidemiology and Public HealthFamily MedicineForensic MedicineGastroenterologyGeneral PracticeGeneticsGeriatricsHealth PolicyHematologyHIV/AIDSHospital-based MedicineI'm not a medical professional.

Jun 29, 2024 | mdpi.com | Xinglin Yang |Jin Huang |Jinghong Zhang |Jian Li

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Jan 10, 2024 | nature.com | Sonali Shah |Jinghong Zhang |Morag J Young |Peter Fuller

AbstractHypertension is the leading risk factor for premature death. The optimal treatment of low-renin hypertension (LRH), present in 30% of hypertensive individuals, is not known. LRH likely reflects a state of excess salt, expanded volume and/or mineralocorticoid receptor (MR) activation. Therefore, targeted treatment with MR antagonists (MRA) may be beneficial. The objective of this systematic review was to assess the efficacy of MRA therapy in LRH.

Oct 13, 2023 | mdpi.com | Jinghong Zhang |Yingying Li |Bowen Liu |Hao Chen

1. IntroductionThe issue of class imbalance has been a challenge in the fields of data mining, computer vision, and machine learning over the past decade [1,2]. The class imbalance problem is prominently visible within machine learning datasets, where the distribution of instances across diverse classes is drastically uneven. Classical machine learning models tend to be biased towards majority classes. Conversely, minority classes can hardly determine the parameters of the classifier.