Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …
As a result of the necessity for finding effective ways to battle these problems, machine …
Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
The ability to explain why the model produced results in such a way is an important problem,
especially in the medical domain. Model explainability is important for building trust by …
especially in the medical domain. Model explainability is important for building trust by …
An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Depression has become one of the most widespread mental health disorders across the
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …
globe. Depression is a state of mind which affects how we think, feel, and act. The number of …
Depression detection in clinical interviews with LLM-empowered structural element graph
Depression is a widespread mental health disorder affecting millions globally. Clinical
interviews are the gold standard for assessing depression, but they heavily rely on scarce …
interviews are the gold standard for assessing depression, but they heavily rely on scarce …
Towards automatic text-based estimation of depression through symptom prediction
Abstract Major Depressive Disorder (MDD) is one of the most common and comorbid mental
disorders that impacts a person's day-to-day activity. In addition, MDD affects one's linguistic …
disorders that impacts a person's day-to-day activity. In addition, MDD affects one's linguistic …
A hybrid model for depression detection with transformer and bi-directional long short-term memory
Failure to diagnose and treat depression in a timely manner causes more than three
hundred million people suffering from this mental health disorder worldwide. Depression, a …
hundred million people suffering from this mental health disorder worldwide. Depression, a …
Automatic depression detection via learning and fusing features from visual cues
Y Guo, C Zhu, S Hao, R Hong - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Depression is one of the most prevalent mental disorders, which seriously affects one's life.
Traditional depression diagnostics commonly depend on rating with scales, which can be …
Traditional depression diagnostics commonly depend on rating with scales, which can be …
Measuring non-typical emotions for mental health: A survey of computational approaches
Analysis of non-typical emotions, such as stress, depression and engagement is less
common and more complex compared to that of frequently discussed emotions like …
common and more complex compared to that of frequently discussed emotions like …