Results 81 to 90 of about 1,304,702 (391)

Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges [PDF]

Journal of Behavioral Data Science, 5(1)
The global increase in mental illness requires innovative detection methods for early intervention. Social media provides a valuable platform to identify mental illness through user-generated content. This systematic review examines machine learning (ML) models for detecting mental illness, with a particular focus on depression, using social media data.
arxiv   +1 more source

Data set creation and empirical analysis for detecting signs of depression from social media postings [PDF]

arXiv, 2022
Depression is a common mental illness that has to be detected and treated at an early stage to avoid serious consequences. There are many methods and modalities for detecting depression that involves physical examination of the individual. However, diagnosing mental health using their social media data is more effective as it avoids such physical ...
arxiv  

Is Mental Illness an Access Barrier to Seeking and Receiving Abortion Services? [PDF]

, 2012
This study examines the relationship between one’s mental health status and access to abortion services. A review of the literature confirms that no prior research has been completed to determine whether or not mental health status is a barrier to ...
Cummings, Miranda
core   +1 more source

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

Advanced Science, EarlyView.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola   +22 more
wiley   +1 more source

Delineating a Retesting Zone Using Receiver Operating Characteristic Analysis on Serial QuantiFERON Tuberculosis Test Results in US Healthcare Workers

Pulmonary Medicine, 2012
Objective. To find a statistically significant separation point for the QuantiFERON Gold In-Tube (QFT) interferon gamma release assay that could define an optimal “retesting zone” for use in serially tested low-risk populations who have test “reversions”
Wendy Thanassi, Art Noda, Beatriz Hernandez, Jeffery Newell, Paul Terpeluk, David Marder, Jerome A. Yesavage   +6 more
doaj   +1 more source

Electroconvulsive treatment of a patient with Parkinson’s disease and moderate depression

Mental Illness, 2011
Depression is a usual comorbidity in patients with Parkinson’s disease. It has been known for more than 50 years that electroconvulsive treatment (ECT) has a positive effect on the muscular symptoms of Parkinson’s disease.
John Erik Berg
doaj   +1 more source

UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts [PDF]

arXiv, 2023
Given the current state of the world, because of existing situations around the world, millions of people suffering from mental illnesses feel isolated and unable to receive help in person. Psychological studies have shown that our state of mind can manifest itself in the linguistic features we use to communicate.
arxiv  

The contribution of exercise and sport to mental health promotion in serious mental illness: An interpretative project [PDF]

, 2008
In this article we synthesise the findings of previous research to explore the question: How can exercise and sport contribute to mental health promotion in the context of serious mental illness? We used an interpretive approach to gain insights into the
Carless, D, Douglas, K
core   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Patients with cocaine use disorder exhibit reductions in delay discounting with episodic future thinking cues regardless of incarceration history

Addictive Behaviors Reports, 2023
Research examining episodic future thinking (EFT; i.e., imagining oneself in future contexts) in community samples has demonstrated reduced discounting of delayed rewards when personalized event cues are included to prompt EFT related to reward latencies.
Taylor M. Torres, Stuart R. Steinhauer, Steven D. Forman, Sarah E. Forster   +3 more
doaj