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Current suicide risk assessments for predicting suicide attempts are time consuming, of low predictive value and have inadequate reliability. This paper aims to develop a predictive model for suicide attempts among patients with depression using machine learning algorithms as well as presents a comparative study on single predictive models with ensemble predictive models for differentiating depressed patients with suicide attempts from non-suicide attempters. We applied and trained eight different machine learning algorithms using a dataset that consists of 75 patients diagnosed with a depressive disorder. A recursive feature elimination was used to reduce the features via three-fold cross validation. An ensemble predictive models outperformed the single predictive models. Voting and bagging revealed the highest accuracy of 92% compared to other machine learning algorithms. Our findings indicate that history of suicide attempt, religion, race, suicide ideation and severity of clinical depression are useful factors for prediction of suicide attempts. [ABSTRACT FROM AUTHOR]

Non-communicable diseases (NCDs) are a global health burden that affects a broad scope of individuals worldwide. Pharmacists, as members of the multidisciplinary team, play a significant role in promoting public awareness towards potential risk factors for NCDs. This study aims to gauge the knowledge of NCDs risk factors among pharmacy students of a Malaysian public university. This paper also outlines perspectives of pharmacy students on the strategies to raise the awareness of NCDs risk factors. A descriptive cross-sectional study was conducted in the Faculty of Pharmacy, International Islamic University Malaysia. Self-administered questionnaires were pretested and validated before being distributed to pharmacy students across different years of study. The data indicated an average level of knowledge towards risk factors of NCDs among study participants with no significant differences in knowledge between male and female genders (p = 0.583). However, there is a significant difference in knowledge concerning the year of study (p < 0.001); as positive correlation can be seen between the level of education and the knowledge of NCDs risk factor. Most of the students (75%) were unaware of the planning by the Ministry of Health (MOH) to control NCDs. Reinforcement of NCDs-related education activities is imperative in order to increase the overall awareness concerning the risk factors of NCDs among future pharmacy practitioners. Further collaborations between educational institutions and the MOH were proposed to help raise awareness of NCDs risk factors among the younger population. [ABSTRACT FROM AUTHOR]