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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]

Introduction: Apert, Crouzon, and Pfeiffer syndromes are common genetic syndromes related to syndromic craniosynostosis (SC), whereby it is a congenital defect that occurs when the cranial growth is distorted. Identifying cranial angles associated with these 3 syndromes may assist the surgical team to focus on a specific cranial part during the intervention planning, thus optimizing surgical outcomes and reducing potential morbidity. Objective: The aim of this study is to identify the cranial angles, which are associated with Apert, Crouzon, and Pfeiffer syndromes. Methods: The cranial computed tomography scan images of 17 patients with SC and 22 control groups aged 0 to 12 years who were treated in the University Malaya Medical Centre were obtained, while 12 angular measurements were attained using the Mimics software. The angular data were then divided into 2 groups (patients aged 0 to 24 months and >24 months). This work proposes a 95% confidence interval (CI) for angular mean to detect the abnormality in patient's cranial growth for the SC syndromes. Results: The 95% CI of angular mean for the control group was calculated and used as an indicator to confirm the abnormality in patient's cranial growth that is associated with the 3 syndromes. The results showed that there are different cranial angles associated with these 3 syndromes. Conclusions: All cranial angles of the patients with these syndromes lie outside the 95% CI of angular mean of control group, indicating the reliability of the proposed CI in the identification of abnormality in the patient's cranial growth. [ABSTRACT FROM AUTHOR]

To palliate suffering, understanding the circumstances leading to suffering and its amelioration could be helpful. Our study aimed to explore contributing and relieving factors of suffering in palliative care. Adult palliative care stage III or IV cancer in-patients were recruited from University of Malaya Medical Centre. Participants recorded their overall suffering score from 0 to 10 three times daily, followed by descriptions of their contributing and relieving factors. Factors of suffering were thematically analysed with NVIVO. Descriptive data were analysed with SPSS. 108 patients participated. The most common contributing factor of suffering was health factor (96.3%), followed by healthcare factor (78.7%), psychological factor (63.0%) and community factor (20.4%). The most common relieving factor was health factor (88.9%), followed by psychological factor (78.7%), community factor (75.9%) and healthcare factor (70.4%). Self-reported assessment of suffering offers a rapid approach to detect bothering issues that require immediate attention and further in-depth exploration. [ABSTRACT FROM AUTHOR]

Incidence rate and patterns of physical restraint use were examined based on a cross-sectional study in 22 wards of a large teaching hospital in Malaysia. Results indicated that the highest rate of physical restraint (19.7%) was reported from neurology–neurosurgery wards. “Un-cooperative for electroconvulsive therapy” and “trying to pull out catheters” were the most commonly reported reasons to use restraint in psychiatric and non-psychiatric wards, respectively. There were some relationships between patterns of physical restraint in this study. Exploring the incidence rate and patterns of physical restraint is important so that effective strategies can be formulated to minimize using restraint in hospitals. [ABSTRACT FROM AUTHOR]