Parkinson's disease management via wearable sensors: a systematic review

H Mughal, AR Javed, M Rizwan, AS Almadhor… - IEEE …, 2022 - ieeexplore.ieee.org
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

Mental health analysis in social media posts: a survey

M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo - ACM Transactions on Asian and …, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe …

Harnessing artificial intelligence: Strategies for mental health nurses in optimizing psychiatric patient care

AJ Nashwan, S Gharib, M Alhadidi… - Issues in Mental …, 2023 - Taylor & Francis
This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach

UK Lilhore, S Dalal, N Faujdar, S Simaiya… - Multimedia Tools and …, 2024 - Springer
A major psychological problem that numerous new mothers experience is postpartum
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …

Does social media feed tell about your mental state? A deep randomised neural network approach

S Kumar, Z Nisha - … joint conference on neural networks (IJCNN …, 2022 - ieeexplore.ieee.org
Depression is one of the most severe issues in the present-day technology-driven world.
Digital transformation and its offerings have penetrated our life. Social media platforms such …

A Smart Data-Driven Prototype for Depression and Stress Tracking in Patients

P Pranjal, S Mallick, M Madan, S Mishra… - International Conference …, 2023 - Springer
One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …

[HTML][HTML] Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection

B Ogunleye, H Sharma, O Shobayo - Big Data and Cognitive Computing, 2024 - mdpi.com
The World Health Organisation (WHO) revealed approximately 280 million people in the
world suffer from depression. Yet, existing studies on early-stage depression detection using …

A novel automated depression detection technique using text transcript

U Yadav, AK Sharma - International Journal of Imaging …, 2023 - Wiley Online Library
Depression is one of the most common mental illnesses, impacting billions of people
worldwide. The lack of existing resources is impeding the country's economic prosperity. As …