W K Liu
Biographic Data
| ID | 7968164 |
|---|---|
| NAME | W K Liu |
| GIVEN NAMES | W K |
| FAMILY NAME | Liu |
| SIGNATURE | LIU W K |
| AFFILIATIONS | Zhejiang Normal University |
| ORCID | 0009-0003-8458-1948 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multidimensional EEG features integration with feature selection strategy for precision diagnosis of depressive disorders
Depressive disorder (DD), a leading global cause of disability, lacks objective diagnostic biomarkers due to reliance on subjective clinical criteria. This study introduces an algorithm-driven framework integrating multidimensional EEG features, dynamic time-window optimization, feature selection and machine learning to address this gap. Resting-state EEG signals were acquired from 70 DD patients and 30 healthy controls (HC). Three-dimensional ne…
Cornus officinalis Sieb
ETHNOPHARMACOLOGICAL RELEVANCE: Cornus officinalis Sieb. et Zucc., belonging to the family Cornaceae, has a history of nearly two thousand years of use in Traditional Chinese Medicine (TCM) and has also been widely applied in traditional medicine across East Asia. Its earliest record can be traced back to the Shennong Ben Cao Jing. In the theory of TCM, C. officinalis is characterized by its sour, astringent, and warming properties and has long b…
No prominent works on this page.
Cornus officinalis Sieb
ETHNOPHARMACOLOGICAL RELEVANCE: Cornus officinalis Sieb. et Zucc., belonging to the family Cornaceae, has a history of nearly two thousand years of use in Traditional Chinese Medicine (TCM) and has also been widely applied in traditional medicine across East Asia. Its earliest record can be traced back to the Shennong Ben Cao Jing. In the theory of TCM, C. officinalis is characterized by its sour, astringent, and warming properties and has long b…
Multidimensional EEG features integration with feature selection strategy for precision diagnosis of depressive disorders
Depressive disorder (DD), a leading global cause of disability, lacks objective diagnostic biomarkers due to reliance on subjective clinical criteria. This study introduces an algorithm-driven framework integrating multidimensional EEG features, dynamic time-window optimization, feature selection and machine learning to address this gap. Resting-state EEG signals were acquired from 70 DD patients and 30 healthy controls (HC). Three-dimensional ne…
Astringent (1 work) · Bioactive natural compounds (1 work) · Biology (1 work) · Discriminative model (1 work) · EEG and Brain-Computer Interfaces (1 work) · Electroencephalography (1 work) · Emotion and Mood Recognition (1 work) · Entropy (arrow of time (1 work) · Feature (linguistics (1 work) · Feature selection (1 work)