Machine learning in mental health: a scoping review of methods and applications
- Shatte, Adrian, Hutchinson, Delyse, Teague, Samantha
- Authors: Shatte, Adrian , Hutchinson, Delyse , Teague, Samantha
- Date: 2019
- Type: Text , Journal article
- Relation: Psychological Medicine Vol. 49, no. 9 (2019), p. 1426-1448
- Full Text: false
- Reviewed:
- Description: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice. We employed a scoping review methodology to rapidly map the field of ML in mental health. Eight health and information technology research databases were searched for papers covering this domain. Articles were assessed by two reviewers, and data were extracted on the article's mental health application, ML technique, data type, and study results. Articles were then synthesised via narrative review. Three hundred papers focusing on the application of ML to mental health were identified. Four main application domains emerged in the literature, including: (i) detection and diagnosis (ii) prognosis, treatment and support (iii) public health, and (iv) research and clinical administration. The most common mental health conditions addressed included depression, schizophrenia, and Alzheimer's disease. ML techniques used included support vector machines, decision trees, neural networks, latent Dirichlet allocation, and clustering. Overall, the application of ML to mental health has demonstrated a range of benefits across the areas of diagnosis, treatment and support, research, and clinical administration. With the majority of studies identified focusing on the detection and diagnosis of mental health conditions, it is evident that there is significant room for the application of ML to other areas of psychology and mental health. The challenges of using ML techniques are discussed, as well as opportunities to improve and advance the field.
Psychological impact of COVID-19 on healthcare workers : cross-sectional analyses from 14 countries
- Ghozy, Sherief, Cross, Wendy, Islam, Shariful, Al-Mawali, Adhra Hilal, Alqurashi, Alaa, Hamza, Amr, Joseph, Bindu, Banik, Biswajit, Elsori, Deena, Sultana, Farhana, Yasmin, Farhana, Mahmud, Ilias, Lam, Louisa, Hammoud, Majeda, Salehin, Masudus, Keblawi, Mohammed Ali, Eltewacy, Nael Kamel, Al Laham, Nahed, El-Khazragy, Nashwa, Oli, Natalia, Tungpunkom, Patraporn, Almustanyir, Sami, Chair, Sek, Alif, Sheikh, Al-Madhoun, Sondos, Chien, Wai Tong, Rahman, Muhammad Aziz
- Authors: Ghozy, Sherief , Cross, Wendy , Islam, Shariful , Al-Mawali, Adhra Hilal , Alqurashi, Alaa , Hamza, Amr , Joseph, Bindu , Banik, Biswajit , Elsori, Deena , Sultana, Farhana , Yasmin, Farhana , Mahmud, Ilias , Lam, Louisa , Hammoud, Majeda , Salehin, Masudus , Keblawi, Mohammed Ali , Eltewacy, Nael Kamel , Al Laham, Nahed , El-Khazragy, Nashwa , Oli, Natalia , Tungpunkom, Patraporn , Almustanyir, Sami , Chair, Sek , Alif, Sheikh , Al-Madhoun, Sondos , Chien, Wai Tong , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: Glob. Ment. Health Vol. 9, no. (2022), p. 328-338
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- Description: Healthcare workers (HCWs) have been impacted psychologically due to their professional responsibilities over the prolonged era of the coronavirus disease 2019 (COVID-19) pandemic. The study aimed to identify the predictors of psychological distress, fear, and coping during the COVID-19 pandemic among HCWs. A cross-sectional online survey was conducted among self-identified HCWs across 14 countries (12 from Asia and two from Africa). The Kessler Psychological Distress Scale, the Fear of COVID-19 Scale, and the Brief Resilient Coping Scale were used to assess the psychological distress, fear, and coping of HCWs, respectively. A total of 2447 HCWs participated 36% were doctors, and 42% were nurses, with a mean age of 36 (±12) years, and 70% were females. Moderate to very-high psychological distress was prevalent in 67% of the HCWs the lowest rate was reported in the United Arab Emirates (1%) and the highest in Indonesia (16%). The prevalence of high levels of fear was 20% the lowest rate was reported in Libya (9%) and the highest in Egypt (32%). The prevalence of medium-to-high resilient coping was 63% the lowest rate was reported in Libya (28%) and the highest in Syria (76%). COVID-19 has augmented the psychological distress among HCWs. Factors identified in this study should be considered in managing the wellbeing of HCWs, who had been serving as the frontline drivers in managing the crisis successfully across all participating countries. Furthermore, interventions to address their psychological distress should be considered.
- Authors: Ghozy, Sherief , Cross, Wendy , Islam, Shariful , Al-Mawali, Adhra Hilal , Alqurashi, Alaa , Hamza, Amr , Joseph, Bindu , Banik, Biswajit , Elsori, Deena , Sultana, Farhana , Yasmin, Farhana , Mahmud, Ilias , Lam, Louisa , Hammoud, Majeda , Salehin, Masudus , Keblawi, Mohammed Ali , Eltewacy, Nael Kamel , Al Laham, Nahed , El-Khazragy, Nashwa , Oli, Natalia , Tungpunkom, Patraporn , Almustanyir, Sami , Chair, Sek , Alif, Sheikh , Al-Madhoun, Sondos , Chien, Wai Tong , Rahman, Muhammad Aziz
- Date: 2022
- Type: Text , Journal article
- Relation: Glob. Ment. Health Vol. 9, no. (2022), p. 328-338
- Full Text:
- Reviewed:
- Description: Healthcare workers (HCWs) have been impacted psychologically due to their professional responsibilities over the prolonged era of the coronavirus disease 2019 (COVID-19) pandemic. The study aimed to identify the predictors of psychological distress, fear, and coping during the COVID-19 pandemic among HCWs. A cross-sectional online survey was conducted among self-identified HCWs across 14 countries (12 from Asia and two from Africa). The Kessler Psychological Distress Scale, the Fear of COVID-19 Scale, and the Brief Resilient Coping Scale were used to assess the psychological distress, fear, and coping of HCWs, respectively. A total of 2447 HCWs participated 36% were doctors, and 42% were nurses, with a mean age of 36 (±12) years, and 70% were females. Moderate to very-high psychological distress was prevalent in 67% of the HCWs the lowest rate was reported in the United Arab Emirates (1%) and the highest in Indonesia (16%). The prevalence of high levels of fear was 20% the lowest rate was reported in Libya (9%) and the highest in Egypt (32%). The prevalence of medium-to-high resilient coping was 63% the lowest rate was reported in Libya (28%) and the highest in Syria (76%). COVID-19 has augmented the psychological distress among HCWs. Factors identified in this study should be considered in managing the wellbeing of HCWs, who had been serving as the frontline drivers in managing the crisis successfully across all participating countries. Furthermore, interventions to address their psychological distress should be considered.
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