Text mining methods for the characterisation of suicidal thoughts and behaviour.

Traditional research methods have shown low predictive value for suicidal risk assessments and limitations to be applied in clinical practice. The authors sought to evaluate natural language processing as a new tool for assessing self-injurious thoughts and behaviors and emotions related. We used MEmind project to assess 2838 psychiatric outpatients. Anonymous unstructured responses to the open-ended question "how are you feeling today?" were collected according to their emotional state. Natural language processing was used to process the patients' writings. The texts were automatically represented (corpus) and analyzed to determine their emotional content and degree of suicidal risk. Authors compared the patients' texts with a question used to assess lack of desire to live, as a suicidal risk assessment tool. Corpus consists of 5,489 short free-text documents containing 12,256 tokenized or unique words. The natural language processing showed an ROC-AUC score of 0.9638 when compared with the responses to lack of a desire to live question. Natural language processing shows encouraging results for classifying subjects according to their desire not to live as a measure of suicidal risk using patients' free texts. It is also easily applicable to clinical practice and facilitates real-time communication with patients, allowing better intervention strategies to be designed.

Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review.

PURPOSE OF REVIEW: Ecological momentary assessment (EMA) is a recently introduced approach to patient evaluation that consists of asking patients questions in real time and in their usual habitat. This method seeks to contribute to suicide prevention by providing psychiatrists with detailed information about suicidal thoughts and behavior, how these fluctuate over short periods of time, and the short-term risk factors presented by patients. We conducted a systematic review of published research using EMA to study suicidal thoughts and behavior. RECENT FINDINGS: Several systematic reviews of EMA in mental health have been conducted to date, and the literature contains numerous theoretical papers and compilations on EMA and suicide phenomena. To date, however, no systematic reviews have explored the use of this tool to study suicidal thoughts and behavior. We performed a systematic review of five databases (i.e., PubMed, Embase, Scopus, Web of Science, and PsycINFO) to identify studies on EMA and suicidal thoughts and behavior. An initial search revealed 544 articles. Following the study selection process, 35 studies were included in the review. Almost three-quarters of the studies were published in the last 4 years. The studies reviewed concluded that EMA was generally feasible and well accepted. EMA findings correlated well with the results of a retrospective assessment, though tended to over-represent symptom severity. Our review points to important aspects of suicidal thoughts and behavior, such as its wide fluctuation over short periods of time. Negative affect and disturbed sleep, among others, emerged as short-term predictors of suicidal thoughts and behavior. Therefore, EMA is a potentially useful tool in clinical practice, although not without drawbacks, such as participant fatigue with questionnaires and ethical concerns.

Assessment of e-Social Activity in Psychiatric Patients.

This paper introduces a novel method to assess the social activity maintained by psychiatric patients using information and communication technologies. In particular, we model the daily usage patterns of phone calls and social and communication apps using point processes. We propose a novel nonhomogeneous Poisson process model with periodic (circadian) intensity function using a truncated Fourier series expansion, which is inferred using a trust-region algorithm. We also extend the model using a mixture of periodic intensity functions to cope with the different daily patterns of a person. The analysis of the usage of phone calls and social and communication apps of a cohort of 259 patients reveals common patterns shared among patients with relatively high homogeneity and differences among patient pathologies.

Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children.

OBJECTIVE: ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. METHOD: To validate vergence as a marker to classify ADHD, we assessed the modulation in the angle of vergence of children ( n = 43) previously diagnosed with ADHD while performing an attention task and compared the results with age-matched clinical controls ( n = 19) and healthy peers ( n = 30). RESULTS: We observed strong vergence responses in healthy participants and weak vergence in the clinical controls. ADHD children showed no significant vergence responses. Machine-learning models classified ADHD patients ( n = 21) from healthy controls ( n = 21) with an accuracy of 96.3% (false positive [FP]: 5.12%; false negative [FN]: 0%; area under the curve [AUC]: 0.99) and ADHD children ( n = 11) from clinical controls ( n = 14) with an accuracy of 85.7% (FP: 4.5%; FN: 19.2%, AUC: 0.90). CONCLUSION: In combination with an attention task, vergence responses can be used as an objective marker to detect ADHD in children.

Evaluating attention-deficit/hyperactivity disorder using ecological momentary assessment: a systematic review.

Ecological momentary assessment is an excellent tool for the measurement of different day-to-day domains in patients and capturing real-world and real-time data. The purpose of this review is to evaluate feasibility in current ecological momentary assessment studies on emotional and behavioral functioning, functional impairments, and quality of life patients with an attention-deficit/hyperactivity disorder diagnosis. This systematic review follows the recommendation of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines selecting articles published from January 1, 1990, up to the latest access on May 2018, identifying a pool of 23 eligible studies. Twenty-three studies demonstrate the validity of ecological momentary assessment methodology in evaluating different aspects of patients with attention-deficit/hyperactivity disorder. Fifteen studies focus on the child's or adolescent's daily behavior, while eight studies only focus on adults. The studies presented in this review monitored patients and their families over a maximum period of 28 days. We can conclude that ecological momentary assessment can be successfully implemented with attention-deficit/hyperactivity disorder patients to evaluate diverse backgrounds. However, more studies are needed with a longer monitoring period, especially in adolescents, to determine the effectiveness of ecological momentary assessment on patients with attention-deficit/hyperactivity disorder.

WHODAS 2.0 as a Measure of Severity of Illness: Results of a FLDA Analysis.

WHODAS 2.0 is the standard measure of disability promoted by World Health Organization whereas Clinical Global Impression (CGI) is a widely used scale for determining severity of mental illness. Although a close relationship between these two scales would be expected, there are no relevant studies on the topic. In this study, we explore if WHODAS 2.0 can be used for identifying severity of illness measured by CGI using the Fisher Linear Discriminant Analysis (FLDA) and for identifying which individual items of WHODAS 2.0 best predict CGI scores given by clinicians. One hundred and twenty-two patients were assessed with WHODAS 2.0 and CGI during three months in outpatient mental health facilities of four hospitals of Madrid, Spain. Compared with the traditional correction of WHODAS 2.0, FLDA improves accuracy in near 15%, and so, with FLDA WHODAS 2.0 classifying correctly 59.0% of the patients. Furthermore, FLDA identifies item 6.6 (illness effect on personal finances) and item 4.5 (damaged sexual life) as the most important items for clinicians to score the severity of illness.