Using Machine Learning and Electronic Health Records to Identify Neuropsychiatric Risk Scores for Delirium in ICU and General Hospital Settings.

Objective: Delirium is a common and acute neuropsychiatric syndrome that requires timely intervention to prevent its associated morbidity and mortality. Yet, its diagnosis and symptoms are often overlooked due to its variable clinical presentation and fluctuating nature. Thus, in this study, we address the barriers to delirium diagnosis by utilizing a machine learning-based predictive algorithm for incident delirium that relies on archived electronic health records (EHRs) data.

Validation of the Levenson Self-Report Psychopathy (LSRP) scale in the non-institutionalized Lebanese population.

Background: Psychopathy has been described as "the first personality disorder to be recognized in psychiatry". It has three core features: affective, interpersonal, and behavioral. The Levenson Self-Report Psychopathy (LSRP) scale is used to screen for and measure psychopathy.

Feasibility of a positive psychology intervention (PATH) in allogeneic hematopoietic stem cell transplantation survivors: Randomized pilot trial design and methods.

Background: Although patients undergoing allogeneic hematopoietic stem cell transplantation (HSCT) experience low levels of positive psychological well-being (PPWB), interventions that specifically boost PPWB in this population are lacking.

Objective: To describe the methods of a randomized controlled trial (RCT) designed to assess the feasibility, acceptability, and preliminary efficacy of a positive psychology intervention (PATH) tailored to the unique needs of HSCT survivors and aimed to decrease anxiety and depression symptoms and boost quality of life (QOL).

Methods: We will conduct a single-institution RCT of a novel nine-week phone-delivered manualized positive psychology intervention compared to usual transplant care in 70 HSCT survivors.