Mental Health Data Mining Analysis
Listing Websites about Mental Health Data Mining Analysis
Research on Students' Mental Health Based on Data …
(3 days ago) WEBThe decision tree C4.5 algorithm is used to classify the mental health intelligence assessment data to provide data support for the system in this paper. SplitInformation S, A = − ∑ i = 1 n S i S log 2 S i S. (2) In the process of decision tree …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560244/
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Turning data into better mental health: Past, present, and …
(1 days ago) WEBBrain imaging for mental health and its relation to technology use. The use of several in vivo human brain imaging techniques (PET, MRI, etc.) has resulted in tremendous advances in our understanding of brain function and dysfunction. The …
https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2022.916810/full
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Mental Health Prediction using Data Mining : A …
(9 days ago) WEBThe emotional, psychological and social welfare of a person is revealed by their mental health. It influences how an individual will think, feel or handle a situation. Positive mental health helps an individual to work productively and achieve their full …
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3561661
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Data Mining Algorithms and Techniques in Mental Health: …
(1 days ago) WEBA total of 211 articles were found related to techniques and algorithms of Data Mining applied to the main Mental Health diseases. 72 articles have been identified as relevant works of which 32% are Alzheimer's, 22% dementia, 24% depression, 14% …
https://pubmed.ncbi.nlm.nih.gov/30030644/
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Data mining can play a critical role in COVID-19 linked …
(3 days ago) WEBData mining can exert greater influence on COVID-19 linked mental health studies if we continue to underline its importance. For example, sentiment analysis can be implemented to evaluate Internet users’ overall sentiment status and thereby to monitor …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462472/
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Data mining-based innovative model for mental health of …
(Just Now) WEBThe mental health of college students not only affects their personal development but also impacts the environment of the campus. Moreover, it affects the harmony of the family and stability of the society. This phenomenon has attracted great …
https://link.springer.com/article/10.1007/s00500-023-09083-y
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Application of data mining technology in college mental …
(7 days ago) WEBTo drive the “mind” demand for data mining technology, the “mind” type of “big data + psychology education” will be combined to create “mind” platform for the study of mental health combined with the “mind” of the school. The system identifies the …
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.974576/full
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(PDF) Data Mining Algorithms and Techniques in Mental …
(5 days ago) WEBResults: A total of 211 articles were found related to techniques and algorithms of Data Mining applied to the main Mental Health diseases. 72 articles have been identified as relevant works of
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Data Mining Algorithms and Techniques in Mental Health: …
(5 days ago) WEBFrom the review of the research articles analyzed, it can be said that use of Data Mining techniques applied to diseases such as dementia, schizophrenia, depression, etc can be of great help to the clinical decision, diagnosis prediction and improve the …
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A multi-modal open dataset for mental-disorder analysis
(Just Now) WEBHere we present a multi-model open dataset for mental-disorder analysis. For now, the dataset includes data mainly from clinically depressed patients and matching normal controls. At this stage
https://www.nature.com/articles/s41597-022-01211-x
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Mental Health Prediction Using Data Mining SpringerLink
(2 days ago) WEBTo improve efficiency, we perform a quiz analysis with a decision tree algorithm and predict the scores. (2022). Mental Health Prediction Using Data Mining. In: Smys, S., Balas, V.E., Palanisamy, R. (eds) Inventive Computation and Information …
https://link.springer.com/chapter/10.1007/978-981-16-6723-7_52
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Data mining in psychiatric research - PubMed
(1 days ago) WEBData mining (or knowledge discovery) aims to extract information from large datasets and solve challenging tasks, like patient assessment, early mental disease diagnosis, and drug efficacy assessment. Accurate and fast data analysis methods are very important, …
https://pubmed.ncbi.nlm.nih.gov/22231840/
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Analysis on the Influencing Factors of College Students' Mental …
(6 days ago) WEBHadzic M., Hadzic F., Dillon T. Tree mining in mental health domain[C]. Hawaii International Conference on System Sciences, Proceedings of the 41st Annual: IEEE. 2008: 230-230. Association rule mining is an important data analysis method for the …
https://dl.acm.org/doi/10.1145/3448734.3450842
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A machine learning analysis of COVID-19 mental health data
(Just Now) WEBIntroduction. In late December 2019, the novel coronavirus (Sars-Cov-2) and the resulting disease COVID-19 were first identified in Wuhan China 1. The disease slipped through containment measures
https://www.nature.com/articles/s41598-022-19314-1
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iHealth: The ethics of artificial intelligence and big data in mental
(7 days ago) WEBThe concept of intelligent health (iHealth) in mental healthcare integrates artificial intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects linked to iHealth by focussing on three crucial elements that have been defined …
https://www.sciencedirect.com/science/article/pii/S2214782922000252
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Research on Students’ Mental Health Based on Data Mining …
(Just Now) WEBAfter preprocessing data integration, data extraction, data cleansing, and data conversion, a mental health assessment data set to be mined is obtained. The decision tree algorithm is applied in the mining process. The data classification is obtained through the mining …
https://www.hindawi.com/journals/jhe/2021/1382559/
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(PDF) Data Analytics in Mental Healthcare - ResearchGate
(6 days ago) WEBDigital mental health offers a promising role in the field of analysis and early detection of mental health problems (Ahmed et al., 2022; Kamran Ul Haq et al., 2020).Consequently, EHRs may be more
https://www.researchgate.net/publication/342700207_Data_Analytics_in_Mental_Healthcare
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Analysis of Student Mental Health Dataset Using Mining …
(8 days ago) WEBcollege students' mental health challenges and predict their future mental health status (Bo and Gao, 2022). Decision tree analysis is a valuable data mining tool used to investigate and understand the factors influencing student mental health. Previous …
https://thescipub.com/pdf/jcssp.2024.121.128.pdf
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Mental Health Prediction in Students using Data Mining Techniques
(6 days ago) WEBResults: The prevalence rate of depression among students was determined to be 61.90%. Years of college and physical health showed a significant. correlation with depression. Students in the early
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Data-mining analysis of media frame effects on social perception …
(4 days ago) WEBKeywords: Schizophrenia, Johyeonbyung, Jungshinbunyeolbyung, Data-mining analysis, Social perception, Media frame. there were various factors including psychiatric beds available and possible changes in health insurance policies and …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683161/
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JMIR Mental Health - Data-Driven Exploration of National Health …
(7 days ago) WEBProcess mining offers a data-driven approach to analyzing and evaluating health care processes and systems, enabling comparison of presumed models of service delivery and their actual implementation in practice. The value and utility of applying …
https://mental.jmir.org/2024//e53894/
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Predictors for interest to participate in digital mental health …
(8 days ago) WEBDue to a multitude of factors, the onset of the COVID-19 pandemic resulted in a significant increase in mental health issues within society, including depression and anxiety. Due to the increased trend of mental health disorders in society, digital mental …
https://bmcdigitalhealth.biomedcentral.com/articles/10.1186/s44247-024-00080-1
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Mental Health Prediction Using Data Mining - Springer
(Just Now) WEBMental Health Prediction Using Data Mining I. G. Hemanandhini and C. Padmavathy Abstract Mental illness is a condition that affects the behaviour, attitude and mannerisms of a person. They are highly common in these days of isolation due to the on-going …
https://link.springer.com/content/pdf/10.1007/978-981-16-6723-7_52.pdf
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The economic burden of mental health inequities Deloitte Insights
(7 days ago) WEBProjecting to 2040: US$14 trillion in excess spending. Across the expenditures measured in this analysis, excess costs arising from mental health inequities total an estimated US$477.5 billion in 2024 (figure 1). The measured trends indicate that costs will continue …
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Data and Statistics - Centers for Disease Control and Prevention
(3 days ago) WEBNHIS collects data on both adult and children’s mental health and mental disorders. For adults, this includes serious psychological distress and feelings of depression and anxiety. For children, this includes the presence of attention deficit/hyperactivity disorder and …
https://www.cdc.gov/mentalhealth/data_publications/statistics-and-data-sources.html
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Missed Opportunities for Addressing Maternal Mental Health: A …
(1 days ago) WEBFrom the 420 submitted stories, 125 stories related to mental health need while using the WCTO service. Using thematic analysis, we identified three main themes that highlighted the experiences of mothers with the service.
https://onlinelibrary.wiley.com/doi/full/10.1155/2024/5890641
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(PDF) Analysis of the Influence of College Students’ Mental Health
(3 days ago) WEBAnalysis of the Influence of College Students’ Mental Health Based on Statistical Analysis, Data Mining, and Predictive Analysis: A Regression Analysis based on SPSS June 2023 DOI: 10.2991/978
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Time- vs Step-Based Physical Activity Metrics for Health
(3 days ago) WEBDesign, Setting, and Participants This cohort study analyzed data from an ongoing follow-up study of surviving participants of the Women’s Health Study, a randomized clinical trial conducted from 1992 to 2004 in the US to evaluate use of low …
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2818632
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How a Young Lawyer’s Mental Health Journey Fuels Her Advocacy …
(7 days ago) WEBThe culture needs to improve—not just for disabled people, but for everyone. Some clear examples of parts of the legal profession that may impact mental health are concerns about work-life balance or the culture of competition in law school. …
https://blog.dol.gov/2024/05/14/how-a-young-lawyers-mental-health-journey-fuels-her-advocacy-work
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A Look at the Latest Alcohol Death Data and Change Over the Last …
(8 days ago) WEBA KFF analysis of the latest data from the U.S. Centers for Disease Control and Prevention finds that the national alcohol death rate has risen 70% in the past decade, accounting for 51,191 deaths
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Rural Maternal Health Data Support and Analysis Program
(2 days ago) WEBFunding Opportunity Number: HRSA-24-112. Dates to Apply: 05/24/2024 to 07/15/2024. Bureau/Office: Federal Office of Rural Health Policy. Status: Open. Estimated Award Date: 09/30/2024. Apply. Track Your Application. Email Us. This notice …
https://www.hrsa.gov/grants/find-funding/HRSA-24-112
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About Adverse Childhood Experiences Adverse Childhood …
(1 days ago) WEBToxic stress, or extended or prolonged stress, from ACEs can negatively affect children’s brain development, immune systems, and stress-response systems. These changes can affect children’s attention, decision-making, and learning. 18. Children …
https://www.cdc.gov/aces/about/index.html
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