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Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.

J Med Internet Res

January 2025

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.

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Rhinitis is a common comorbidity in patients with asthma. However, the frequency of underreported rhinitis in asthma is not known. In this study, we aimed to assess the characteristics of patients with self-reported asthma and no self-reported rhinitis, as well as the extent of the underreporting of rhinitis.

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Rehabilitation and intervention of developmental and acquired prosopagnosia: A systematic review.

Neuropsychol Rehabil

January 2025

School of Psychological Sciences, Macquarie University, Marsfield, NSW 2109, Australia.

Prosopagnosia is a neurological disorder; characterized by an impairment in facial recognition. It can occur from acquired prosopagnosia (occurring in approximately 5.6% of the population), or from developmental prosopagnosia (occurring in approximately 2% of the population).

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A new HCM heart sound classification method based on weighted bispectrum features.

Phys Eng Sci Med

January 2025

School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China.

Hypertrophic cardiomyopathy (HCM), including obstructive HCM and non-obstructive HCM, can lead to sudden cardiac arrest in adolescents and athletes. Early diagnosis and treatment through auscultation of different types of HCM can prevent the occurrence of malignant events. However, it is challenging to distinguish the pathological information of HCM related to differential left ventricular outflow tract pressure gradients.

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