Data Mining Mental Health
Listing Websites about Data Mining Mental Health
Data mining in psychiatric research - PubMed
(Just Now) People also askCan data mining improve mental health?From 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 patient's quality of life. Keywords: Algorithms; Data mining; Mental health; Techniques.Data Mining Algorithms and Techniques in Mental Health: A pubmed.ncbi.nlm.nih.govHow many articles are related to data mining in mental health?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 which 32% are Alzheimer's, 22% dementia, 24% depression, 14% schizophrenia and 8% bipolar disorders.Data Mining Algorithms and Techniques in Mental Health: A pubmed.ncbi.nlm.nih.govWhat is data mining in medicine?4 Nozaleda and Lafora Mental Health Clinic, C/ José Ortega Y Gasset, 44, 28006, Madrid, Spain. 5 Psiquiatry Service, Hospital Zamora, Hernán Cortés, Zamora, Spain. Data Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas.Data Mining Algorithms and Techniques in Mental Health: A pubmed.ncbi.nlm.nih.govHow a mental health assessment data set is mined?The complete data mining process is shown in Figure 2. In this paper, the system uses the user's answer results to establish an initial data set. After preprocessing data integration, data extraction, data cleansing, and data conversion, a mental health assessment data set to be mined is obtained.Research on Students' Mental Health Based on Data Mining Algorithmsncbi.nlm.nih.govFeedbackSpringerhttps://link.springer.com/article/10.1007/s10916-018-1018-2Data Mining Algorithms and Techniques in Mental Health: A …Data Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas. The main objective of this paper is to present a review of the existing research works in the literature, referring to the … See more
Category: Mental health, Medicine Show Health
Data Mining Algorithms and Techniques in Mental Health: A …
(8 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% schizophrenia and 8% bipolar disorders. Many of the papers show the prediction of risk factors in
https://dl.acm.org/doi/10.1007/s10916-018-1018-2
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Research on Students' Mental Health Based on Data Mining …
(3 days ago) WEBThe complete data mining process is shown in Figure 2. In this paper, the system uses the user's answer results to establish an initial data set. After preprocessing data integration, data extraction, data cleansing, and data conversion, a mental health assessment data set to be mined is obtained.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560244/
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Data mining for health: staking out the ethical territory of digital
(9 days ago) WEBThere are already some efforts underway to address ethical issues raised by digital health, such as the National Institute of Mental Health (NIMH) task force to address the use of informational
https://www.nature.com/articles/s41746-018-0075-8
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Data mining can play a critical role in COVID-19 linked mental …
(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 public health concerns ( Singh et al., 2020 ). Novel data mining techniques like the
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462472/
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Mental Health Prediction using Data Mining : A Systematic Review
(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 potential. At each point in life, mental health is vital, from childhood to adulthood.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3561661
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Data Mining Algorithms and Techniques in Mental Health: A
(1 days ago) WEBData Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas. The main objective of this paper is to present a review of the existing research works in the literature, referring to the …
https://pubmed.ncbi.nlm.nih.gov/30030644/
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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, especially when dealing with severe psychiatric diseases like schizophrenia.
https://pubmed.ncbi.nlm.nih.gov/22231840/
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Data Mining-based Classification Methods for Mental Health …
(6 days ago) WEBThe advancement of mental health education and prognosis is crucial since the mounting pressures of contemporary society have contributed to an increase in psychological issues. In order to assess mental health intelligence, this research work suggests a method that makes use of data mining and classification algorithms. An improved method is created …
https://ieeexplore.ieee.org/document/10266099/
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Turning data into better mental health: Past, present, and future
(1 days ago) WEBBiobehavioral data for mental health. Different kinds of bio-behavioral data have been used to study the relationships with mental health symptoms . These objective measures have potential to help screen, diagnose, and track mental health disorders. The data include (1) non-verbal behavior such as facial activities, body gestures, eye …
https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2022.916810/full
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Data Mining Algorithms and Techniques in Mental Health: A …
(5 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% schizophrenia and 8% bipolar disorders.
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Data mining-based innovative model for mental health of college
(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 attention from the society. New technological paradigms such as the Internet of Things …
https://link.springer.com/article/10.1007/s00500-023-09083-y
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(PDF) Data Mining Algorithms and Techniques in Mental Health: A
(5 days ago) WEBBackground: Data Mining in medicine is an emerging field of great importance to provide a prognosis and deeper understanding of disease classification, specifically in Mental Health areas.
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Application of data mining technology in college mental health …
(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 “mind” benefits of current activity and seeks to achieve the goal of
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.974576/full
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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 results, thereby obtaining the specific classification of the user’s
https://www.hindawi.com/journals/jhe/2021/1382559/
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Application of Data Mining in Cultivation of Student Mental Health
(5 days ago) WEBApplication of Data Mining in Cultivation of Student Mental Health. IOP Conference Series: Materials Science and Engineering , Volume 750 , 2019 International Conference on Cloud Computing and Information Science (CCCIS 2019) 27–29 December 2019, Shenyang, China Citation Huanchang Qin et al 2020 IOP Conf. Ser.: Mater. Sci.
https://iopscience.iop.org/article/10.1088/1757-899X/750/1/012054
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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 health therapies are more useful than ever. With the emergence of programs utilizing …
https://bmcdigitalhealth.biomedcentral.com/articles/10.1186/s44247-024-00080-1
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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. Talking Therapies program treats people with common mental health problems in England according to “stepped care,” in …
https://mental.jmir.org/2024//e53894/
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Mental health in mine workers: a literature review - PMC
(3 days ago) WEBThe mining environment is hazardous for worker’s health. It can affect the mental health, triggering symptoms and diseases, such as anxiety, job stress, depression, sleep disorders, mental fatigue and other. The aim of this study was to describe and analyze the scientific literature about the mental health in mine workers and to …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655752/
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AI, social media help track population-based mental health patterns
(1 days ago) WEBMay 15, 2024 - Researchers from Stony Brook University, Stanford University and the University of Pennsylvania have developed an AI-based system to track rates of depression and anxiety using data from social media posts, according to a recent study published in npj Digital Medicine.. The research team emphasized that depression and anxiety are major …
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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 pandemic. Almost 450 million people worldwide suffer from some kind of mental illness.
https://link.springer.com/content/pdf/10.1007/978-981-16-6723-7_52.pdf
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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 autism spectrum disorder. The NHIS also examines mental health service use
https://www.cdc.gov/mentalhealth/data_publications/statistics-and-data-sources.html
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How AI And Technology Can Impact Mental Health Care - Forbes
(Just Now) WEBAI algorithms can also analyze large datasets to identify patterns and trends in mental health, enabling early intervention and targeted intervention. • Sentiment Analysis: In addition to data
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R: Mental Health Admissions - GitHub Pages
(8 days ago) WEBDetails. Some researchers in the early 1970s set out to study whether there is a "full-moon" effect on emergency room admissions at a mental health hospital. They separated the data over 12 months into rates before the full moon (mean number of patients seen 4-13 days before the full moon), during the full moon (the number of patients seen on
https://vincentarelbundock.github.io/Rdatasets/doc/Stat2Data/MentalHealth.html
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The impact of childhood abuse and neglect on adult mental …
(1 days ago) WEBMH49467/MH/NIMH NIH HHS/United States. This paper examines the impact of three types of victimization in childhood--sexual abuse, physical abuse, and neglect--on lifetime measures of mental health among adults. In contrast to research that relies on retrospective recall of childhood victimization, this work uses a prospective sample gath ….
https://pubmed.ncbi.nlm.nih.gov/11467252/
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NJIT@JerseyCity Launches with Data Science Graduate Programs
(6 days ago) WEBNJIT @JerseyCity welcomed its first students on September 3, 2019.. With the start of the fall semester, dozens of students embarked on graduate-level academic programs in data science at NJIT’s new location, just steps from the Exchange Place PATH station in the Waterfront district of Jersey City.
https://computing.njit.edu/news/njitjerseycity-launches-data-science-graduate-programs
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Insights into Women’s Occupational Health and Safety: A Decade …
(8 days ago) WEBWomen play integral roles across various sectors, including mining. Moreover, they often form a majority in certain sectors, such as healthcare and education. Biological (sex) and social (gender) differences can influence how hazards are assessed and controlled for women at work. Therefore, because of the importance of women’s …
https://www.mdpi.com/2313-576X/10/2/47
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Emotion mining for early suicidal threat detection on both
(Just Now) WEBSuicide represents a poignant societal issue deeply entwined with mental well-being. While existing research primarily focuses on identifying suicide-related texts, there is a gap in the advanced detection of mental health states leading to suicidal tendencies. The purpose is to recognize the emotions influencing individuals’ mental states, potentially …
https://link.springer.com/article/10.1007/s11042-024-19411-5
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