Kuo-ching Liang

Hills Joint Research Laboratory For Future Preventive Medicine And Wellness
Tokyo, Japan

Last Updated: 09/26/2026

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Found 17 publications

Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol.

Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol.

Journal: Frontiers in psychiatry

Published: August 23, 2022

Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.

Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.

Journal: Psychiatry and clinical neurosciences

Published: June 27, 2022

Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology.

Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology.

Journal: Frontiers in psychiatry

Published: May 27, 2022

MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly.

MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly.

Journal: BMC bioinformatics

Published: August 09, 2020

Speech Quality Feature Analysis for Classification of Depression and Dementia Patients.

Speech Quality Feature Analysis for Classification of Depression and Dementia Patients.

Journal: Sensors (Basel, Switzerland)

Published: June 01, 2020

The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology.

The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology.

Journal: Contemporary clinical trials communications

Published: April 27, 2020

Using speech recognition technology to investigate the association between timing-related speech features and depression severity.

Using speech recognition technology to investigate the association between timing-related speech features and depression severity.

Journal: PloS one

Published: April 15, 2020

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

Journal: The journal of ECT

Published: March 03, 2020

Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary study.

Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary study.

Journal: Comprehensive psychiatry

Published: December 11, 2019

Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning.

Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning.

Journal: Heliyon

Published: November 26, 2019

Thalamic volume, resting-state activity, and their association with the efficacy of electroconvulsive therapy.

Thalamic volume, resting-state activity, and their association with the efficacy of electroconvulsive therapy.

Journal: Journal of psychiatric research

Published: May 23, 2019

Utilization of Facial Image Analysis Technology for Blink Detection: A Validation Study.

Utilization of Facial Image Analysis Technology for Blink Detection: A Validation Study.

Journal: Eye & contact lens

Published: June 27, 2018

Showing 1-12 of 17

Last Updated: 09/26/2026