AIMC Topic: Depression

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Depression Severity Classification from Speech Emotion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depression severity using audio analysis can help clinical management decisions during Deep Brain Stimulation (DBS) treatment of MDD patients. Leveraging the l...

Automatic Detection of Depression by Using a Neural Network.

Studies in health technology and informatics
Depression is the most common psychiatric disorder worldwide, which affects more than 300 million people. We aimed to detect depressed patients and healthy people automatically. We work on the PHQ-9 questionnaires and reduced it to a PHQ-5 questionna...

Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...

Technology for Early Detection of Depression and Anxiety in Older People.

Studies in health technology and informatics
Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digita...

Robotic neurorehabilitation in patients with chronic stroke: psychological well-being beyond motor improvement.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Although gait abnormality is one of the most disabling events following stroke, cognitive, and psychological impairments can be devastating. The Lokomat is a robotic that has been used widely for gait rehabilitation in several movement disorders, esp...

Development of an Adolescent Depression Ontology for Analyzing Social Data.

Studies in health technology and informatics
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social medi...

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Studies in health technology and informatics
Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years old. Patients who suffer with BD may struggle for years to achieve a correct diagnosis, and only 50% of them generally receive adequate treatment. In ...