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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

Mumtaz W, Ali SSA, Yasin MAM, Malik AS

Med Biol Eng Comput, 2018 Feb;56(2):233-246.
PMID: 28702811 DOI: 10.1007/s11517-017-1685-z

Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning framework involving EEG-derived synchronization likelihood (SL) features as input data for automatic diagnosis of MDD. It was hypothesized that EEG-based SL features could discriminate MDD patients and healthy controls with an acceptable accuracy better than measures such as interhemispheric coherence and mutual information. In this work, classification models such as support vector machine (SVM), logistic regression (LR) and Naïve Bayesian (NB) were employed to model relationship between the EEG features and the study groups (MDD patient and healthy controls) and ultimately achieved discrimination of study participants. The results indicated that the classification rates were better than chance. More specifically, the study resulted into SVM classification accuracy = 98%, sensitivity = 99.9%, specificity = 95% and f-measure = 0.97; LR classification accuracy = 91.7%, sensitivity = 86.66%, specificity = 96.6% and f-measure = 0.90; NB classification accuracy = 93.6%, sensitivity = 100%, specificity = 87.9% and f-measure = 0.95. In conclusion, SL could be a promising method for diagnosing depression. The findings could be generalized to develop a robust CAD-based tool that may help for clinical purposes.
Fulltext The roles of emotional intelligence, neuroticism, and academic stress on the relationship between psychological distress and burnout in medical students

Yusoff MSB, Hadie SNH, Yasin MAM

BMC Med Educ, 2021 May 22;21(1):293.
PMID: 34022865 DOI: 10.1186/s12909-021-02733-5

BACKGROUND: Stress and burnout commonly threaten the mental health of medical students in Malaysia and elsewhere. This study aimed to explore the interrelations of psychological distress, emotional intelligence, personality traits, academic stress, and burnout among medical students.
METHODS: A cross-sectional study was conducted with 241 medical students. Validated questionnaires were administered to measure burnout, psychological distress, emotional intelligence, personality traits, and academic stress, respectively. A structural equation modelling analysis was performed by AMOS.
RESULTS: The results suggested a structural model with good fit indices, in which psychological distress and academic stress were noted to have direct and indirect effects on burnout. The burnout levels significantly increased with the rise of psychological distress and academic stress. Neuroticism was only found to have significant indirect effects on burnout, whereby burnout increased when neuroticism increased. Emotional intelligence had a significant direct effect on lowering burnout with the incremental increase of emotional intelligence, but it was significantly reduced by psychological distress and neuroticism.
CONCLUSION: This study showed significant effects that psychological distress, emotional intelligence, academic stress, and neuroticism have on burnout. Academic stress and neuroticism significantly increased psychological distress, leading to an increased burnout level, while emotional intelligence had a significant direct effect on reducing burnout; however, this relationship was compromised by psychological distress and neuroticism, leading to increased burnout. Several practical recommendations for medical educators, medical students, and medical schools are discussed.
Fulltext Scoping Review of frequently highlighted attributes of Medical Professionalism in an Undergraduate Medical Education Context

Sattar K, Yusoff MSB, Arifin WN, Yasin MAM, Nor MZM

Pak J Med Sci, 2021 7 23;37(4):1221-1229.
PMID: 34290812 DOI: 10.12669/pjms.37.4.4004

Background and Objectives: Medical Professionalism (MP) establishes the trust between society and doctors. We aimed at finding frequently highlighted qualities of MP in the literature.
Methods: We searched PubMed and Scopus for attributes of MP, using terms, "Professionalism," "Medical Students," and "Undergraduate Medical Education". We included English language, original research articles with MP attributes from the perspective of undergraduate medical education, any nationality, race, gender, and age range, as the central topic of the article. Papers published from January 1st 1986 to 29th February 2020 were included.
Results: From 1349 identified articles, finally, 18 were included, authored in 10 countries, collectively contributing to answering the scoping review question. Two themes were identified: (1) Nurturing of MP, 11 (61.11%) out of 18 included articles, highlighted "respect" as the most dominant attribute as it appeared in 6 (54.55%) out of 11 reviews, "communication" 5 (45.45 %) studies and "honesty" and "integrity" 4 (36.36%). (2) Assessment of MP, 7 (38.89%) studies, and majority, 4 (57.14 %) assessed MP using American Board of Internal Medicine's elements of MP, viz, "altruism, accountability, excellence, duty, honor and integrity, respect for others."
Conclusions: Themes exemplified MP's most discoursed issues. The attributes are frequently used worldwide. MP deliberates as a commitment toward the individual patient, society, and necessitates transforming from its present generic form to more explicit details.
Fulltext Prevalence and associated factors of stress, anxiety and depression among emergency medical officers in Malaysian hospitals

Yahaya SN, Wahab SFA, Yusoff MSB, Yasin MAM, Rahman MAA

World J Emerg Med, 2018;9(3):178-186.
PMID: 29796141 DOI: 10.5847/wjem.j.1920-8642.2018.03.003

BACKGROUND: Demanding profession has been associated with poor psychological health due to multiple factors such as overworking hours and night shifts. This study is to determine prevalence and associated factors of depression, anxiety and stress among medical officers working at emergency department in Malaysian hospitals.
METHODS: A cross-sectional study was conducted on 140 emergency department medical officers working at general hospitals from seven Malaysia regions. They were randomly selected and their depression, anxiety and stress level were measured by the 21-item Depression, Anxiety, Stress Scale.
RESULTS: The highest prevalence was anxiety (28.6%) followed by depression (10.7%) and stress (7.9%). Depression, anxiety and stress between seven hospitals were not significantly different (P>0.05). Male medical officers significantly experienced more anxiety symptoms than female medical officers (P=0.0022), however depression and stress symptoms between male and female medical officers were not significantly different (P>0.05). Depression, anxiety and stress were not associated with age, working experience, ethnicity, marital status, number of shifts and type of system adopted in different hospitals (P>0.05).
CONCLUSION: The prevalence of anxiety was high, whereas for depression and stress were considerably low. Gender was the only factor significantly associated with anxiety. Other factors were not associated with depression, anxiety and stress. Future research should aim to gain better understanding on unique factors that affect female and male medical officers' anxiety level in emergency setting, thus guide authorities to chart strategic plans to remedy this condition.
Fulltext Early Initiation of Amphetamine-Type Stimulants (ATS) Use Associated with Lowered Cognitive Performance among Individuals with Co-Occurring Opioid and ATS Use Disorders in Malaysia

Chooi WT, Mohd Zaharim N, Desrosiers A, Ahmad I, Yasin MAM, Syed Jaapar SZ, et al.

J Psychoactive Drugs, 2017 06 29;49(4):326-332.
PMID: 28661714 DOI: 10.1080/02791072.2017.1342152

Amphetamine-type stimulants (ATS) use is increasingly prevalent in Malaysia, including among individuals who also use opioids. We evaluated cognitive functioning profiles among individuals with co-occurring opioid and ATS dependence and their lifetime patterns of drug use. Participants (N = 50) enrolling in a clinical trial of buprenorphine/naloxone treatment with or without atomoxetine completed the Raven's Standard Progressive Matrices, Rey-Osterrieth Complex Figure Test, Digit Span, Trail Making and Symbol Digit Substitution tasks. Multidimensional scaling and a K-means cluster analyses were conducted to classify participants into lower versus higher cognitive performance groups. Subsequently, analyses of variance procedures were conducted to evaluate between group differences on drug use history and demographics. Two clusters of individuals with distinct profiles of cognitive performance were identified. The age of ATS use initiation, controlling for the overall duration of drug use, was significantly earlier in the lower than in the higher cognitive performance cluster: 20.9 (95% CI: 18.0-23.8) versus 25.2 (95% CI: 22.4-28.0, p = 0.038). While adverse effects of ATS use on cognitive functioning can be particularly pronounced with younger age, potentially related to greater vulnerability of the developing brain to stimulant and/or neurotoxic effects of these drugs, the current study findings cannot preclude lowered cognitive performance before initiation of ATS use.