Nanxi Li

Beijing, 100088, China

Last Updated: 09/26/2026

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Found 11 publications

Understanding mood through facial expressions: opportunities and challenges in depression detection.

Understanding mood through facial expressions: opportunities and challenges in depression detection.

Journal: Science bulletin

Published: October 09, 2025

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning.

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning.

Journal: JMIR mHealth and uHealth

Published: July 28, 2025

Remission trajectories and cognitive function in hospitalized youth with depressive episodes.

Remission trajectories and cognitive function in hospitalized youth with depressive episodes.

Journal: Frontiers in psychiatry

Published: July 25, 2025

Serious game-interactive digitalised cognitive behavioural therapy versus psychoeducation for adults with mild to moderate depression: study protocol for a randomised, parallel-group, controlled trial.

Serious game-interactive digitalised cognitive behavioural therapy versus psychoeducation for adults with mild to moderate depression: study protocol for a randomised, parallel-group, controlled trial.

Journal: Trials

Published: March 30, 2025

The association between anhedonia and speech features in depression: A cross-sectional study.

The association between anhedonia and speech features in depression: A cross-sectional study.

Journal: General hospital psychiatry

Published: November 18, 2024

The Chinese version of the immediate mood scaler (IMS): a study evaluating its validity, reliability, and responsiveness in patients with MDD in China.

The Chinese version of the immediate mood scaler (IMS): a study evaluating its validity, reliability, and responsiveness in patients with MDD in China.

Journal: BMC psychiatry

Published: April 17, 2024

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

Journal: JMIR formative research

Published: February 23, 2024

Using deeply time-series semantics to assess depressive symptoms based on clinical interview speech.

Using deeply time-series semantics to assess depressive symptoms based on clinical interview speech.

Journal: Frontiers in psychiatry

Published: November 21, 2022

Correlation Between Word Frequency and 17 Items of Hamilton Scale in Major Depressive Disorder.

Correlation Between Word Frequency and 17 Items of Hamilton Scale in Major Depressive Disorder.

Journal: Frontiers in psychiatry

Published: March 23, 2022

Correction: Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

Correction: Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

Journal: JMIR mHealth and uHealth

Published: May 19, 2021

Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

Journal: JMIR mHealth and uHealth

Published: September 16, 2020

Showing 1-11 of 11

Last Updated: 09/26/2026