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Parkinson's disease management via wearable sensors: a systematic review
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 …
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
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 …
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
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 …
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
This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …
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
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 …
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 …
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 …
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
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 …
world suffer from depression. Yet, existing studies on early-stage depression detection using …
A novel automated depression detection technique using text transcript
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 …
worldwide. The lack of existing resources is impeding the country's economic prosperity. As …