Machine learning for psychological disorder prediction in Indians during COVID-19 nationwide lockdown

As the world combats with the outrageous and perilous novel coronavirus, national lockdown has been enforced in most of the countries. It is necessary for public health but on the flip side it is detrimental for people’s mental health. While the psychological repercussions are predictable during the period of COVID-19 lockdown but this enforcement can lead to long-term behavioral changes post lockdown too. Moreover, the detection of psychological effects may take months or years. This mental health crisis situation requires timely, pro-active intervention to cope and persevere the Coro-anxiety (Corona-related). To address this gap, this research firstly studies the psychological burden among Indians using a COVID-19 Mental Health Questionnaire and then does a predictive analytics using machine learning to identify the likelihood of mental health outcomes using learned features of 395 Indian participants. The proposed Psychological Disorder Prediction (PDP) tool uses a multinomial Naïve Bayes classifier to train the model to detect the onset of specific psychological disorder and classify the participants into two pre-defined categories, namely, anxiety disorder and mood disorder. Experimental evaluation reports a classification accuracy of 92.15%. This automation plays a pivotal role in clinical support as it aims to suggest individuals who may need psychological help.

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Social class and mental health

Oxford Textbook of Public Mental Health ◽

10.1093/med/9780198792994.003.0018 ◽

2018 ◽

pp. 159-172

Author(s):

M. Harvey Brenner

Keyword(s):

Mental Health ◽

Social Class ◽

Great Recession ◽

Psychological Disorder ◽

Mental Health Crisis ◽

Economic Crises ◽

Income Loss ◽

Health Crisis ◽

The Great Recession ◽

The Great Depression

The Great Depression saw increasingly higher rates of mental disorder at successively lower social class levels. These findings have been repeated over the twentieth and twenty-first centuries. Dynamic interpretations of these relations have concentrated on vulnerability to economic crises, resulting in major increases in mental hospitalization and suicide. These studies have shown psychological morbidity and suicide to be strongly influenced by employment and income loss. Did the Great Recession re-enact the Great Depression’s mental health crisis for world societies? Recent literature shows substantially elevated psychological disorder in the Great Recession across industrialized societies. New multivariate analyses, using gross domestic product declines and unemployment increases as the main recessional indicators, find that world suicide and industrialized country overall mortality rates increased owing to the Great Recession and government austerity. A paradigm is presented of the circular relations linking economic crises, social class, and the interactive relations of mental and physical health.

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Machine learning model to predict mental health crisis from electronic health records

10.21203/rs.3.rs-275866/v1 ◽

2021 ◽

Author(s):

Roger Garriga ◽

Aleksandar Matić ◽

Javier Mas ◽

Semhar Abraha ◽

Jon Nolan ◽

...

Keyword(s):

Mental Health ◽

Machine Learning ◽

At Risk ◽

Electronic Health Records ◽

Learning Model ◽

Mental Health Crisis ◽

Health Records ◽

Health Crisis ◽

Machine Learning Model ◽

Electronic Health

Abstract Timely identification of patients who are at risk of mental health crises opens the door for improving the outcomes and for mitigating the burden and costs to the healthcare systems. Due to high prevalence of mental health problems, a manual review of complex patient records to make proactive care decisions is an unsustainable endeavour. We developed a machine learning model that uses Electronic Health Records to continuously identify patients at risk to experience a mental health crisis within the next 28 days. The model achieves an area under the receiver operating characteristic curve of 0.797 and an area under the precision-recall curve of 0.159, predicting crises with a sensitivity of 58% at a specificity of 85%. The usefulness of our model was tested in clinical practice in a 6-month prospective study, where the predictions were considered clinically useful in 64% of cases. This study is the first one to continuously predict the risk of a wide range of mental health crises and to evaluate the usefulness of such predictions in clinical settings.

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Deterioration of mental health despite successful control of the COVID-19 pandemic in South Korea

10.31234/osf.io/s7qj8 ◽

2020 ◽

Author(s):

Hyeon-seung Lee ◽

Derek Dean ◽

Tatiana Baxter ◽

Taylor Griffith ◽

Sohee Park

Keyword(s):

Mental Health ◽

Social Network ◽

South Korea ◽

Mental Health Problems ◽

Mental Health Crisis ◽

Psychological Outcome ◽

Psychological Burden ◽

Health Crisis ◽

Increased Risk ◽

Psychosis Risk

South Korea was able to successfully control the spread of COVID-19 without nationwide lockdowns or drastic social distancing efforts, but pandemic-related psychological outcome of the general population remains unknown. We aimed to document the mental health outcome in relation to social factors during the pandemic. Between March and June 2020, 400 South Korean residents participated in an online study of depression, anxiety, stress, psychosis-risk and loneliness, as well as indices of social network, physical health and demographics. Clinical levels of depression, anxiety or stress were reported by 45% of the respondents, and psychosis-risk was present in 12.8%; a drastic increase above the base rate prior to the pandemic. Subjective feelings of loneliness, but not the size of the social network accounted for poor mental health. Women were especially at increased risk for mental health problems. Thus, despite effective mitigation of the pandemic, there was a striking deterioration of mental health. As the psychological burden of the continuing pandemic accrues, the probability of an impending mental health crisis is increasing, especially in countries with greater infection and death rates than South Korea. Comprehensive efforts to address the psychological aftermath of the pandemic are urgently needed.

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The Imminent Mental Health Crisis and the Role Psychologists Can Play to Improve Occupational Health in Times of Coronavirus Pandemic in Pakistan

Journal of Professional & Applied Psychology ◽

10.52053/jpap.v1i2.20 ◽

2020 ◽

Vol 1 (2) ◽

pp. 93-97

Author(s):

Hifza Rabbani ◽

Yasir Masood

Keyword(s):

Mental Health ◽

Large Scale ◽

The Novel ◽

Mental Health Crisis ◽

Health Crisis ◽

Health Community ◽

Massive Change ◽

To Come ◽

Novel Coronavirus ◽

Imminent Threat

As expected, the uncertainty of the novel coronavirus has had a major impact on the mental health of the entire population of the world, whether it is in fear of contracting the virus, being stuck at home or being actually infected by it. This much has been proven by research as well but what can mental health practitioners do to combat this imminent threat on a large scale? To name a few, mobilizing their community to bring awareness to the general public and making mental health care easily available for the larger community can be done. The entire mental health community has to come together to bring about a massive change to tackle the crisis of mental health disabilities surging in a post COVID-19 world.

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