A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained after birth) are challenged to develop suitable care pathways for an individual client’s needs. Being able to predict psychosocial outcomes after ABI would enable clinicians and service providers to make advance decisions and better tailor care plans. Machine learning (ML, a predictive method from the field of artificial intelligence) is increasingly used for predicting ABI outcomes. This review aimed to examine the efficacy of using ML to make psychosocial predictions in ABI, evaluate the methodological quality of studies, and understand researchers’ rationale for their choice of ML algorithms. Nine studies were reviewed from five databases, predicting a range of psychosocial outcomes from stroke, traumatic brain injury, and concussion. Eleven types of ML were employed with a total of 75 ML models. Every model was evaluated as having high risk of bias, unable to provide adequate evidence for predictive performance due to poor methodological quality. Overall, there was limited rationale for the choice of ML algorithms and poor evaluation of the methodological limitations by study authors. Considerations for overcoming methodological shortcomings are discussed, along with suggestions for assessing the suitability of data and suitability of ML algorithms for different ABI research questions.     

A facilitative effect of punishment on unpunished behavior

The key pecking of two pigeons was reinforced on a variable-interval schedule of reinforcement during the presentation of each of two stimuli. In various phases of the experiment, punishment followed every response emitted in the presence of one of the stimuli. In general, when the rate of punished responding changed during the presentation of one stimulus, the rate of unpunished responding during the other stimulus changed in the opposite direction. This sort of change in rate is an example of behavioral contrast. When punishment was introduced, the rate of punished responding decreased and the rate of unpunished responding increased as functions of shock intensity. When the rate of previously punished responding increased after the termination of the shock, the rate of the always unpunished responding decreased. When the procedure correlated with a red key was changed from variable-interval reinforcement and punishment for each response to extinction and no punishment, the rate of reinforced responding during presentations of a green key decreased and then increased while the rate of the previously punished responding during red first increased and then decreased during extinction.     

Validation of the UPPS impulsive behaviour scale: a four‐factor model of impulsivity

The current study attempts to clarify the multi‐faceted nature of impulsivity through the use of the four‐factor UPPS Impulsive Behaviour scale. In order to build the nomological network surrounding this scale, the UPPS was administered to individuals with borderline personality disorder (BPD), pathological gamblers (PG), alcohol abusers (divided into two groups based on the presence of antisocial features), and a control group. Several of the UPPS scales (e.g. Urgency, lack of Premeditation, and Sensation Seeking) differentiated the BPD, PG, and alcohol abusers with antisocial features from a group of non‐antisocial alcohol abusers and a control group. Overall, the UPPS scales accounted for between 7% (pathological gambling) and 64% (borderline personality disorder features) of the overall variance in the psychopathology measures. Individual UPPS scales also made unique contributions to several of these disorders, which may provide insight into which of these personality traits may predispose individuals to behave in maladaptive or problematic ways. The results provide support for the differentiation of impulsivity‐related constructs into the current four‐factor model. Copyright © 2005 John Wiley & Sons, Ltd.     

A systems analysis of a failure to test the effectiveness of waiting-list group therapy.

This nonexperimental effectiveness study attempted to evaluate the utility of a brief waiting-list group. The setting was a university clinic providing treatment for an inner-city population. Health delivery and staff dynamics made it difficult to conduct clinical research in this treatment-oriented setting. The nonrandom design allowed for patient choice, with few clients attending more than two group sessions, thus decreasing its impact. Managed-care pressures decreased staff cooperation with our research objectives, resulting in very low return rates in testing and follow-up data. A social systems analysis, highlighting staff and institutional ambivalence, is used to understand the failure to adequately test the effectiveness of waiting-list group therapy. Recommendations are offered to investigators who contemplate conducting clinical research with limited resources.     

Sex differences in knowledge of occupational dimensions across four age levels

The purpose of the present study was to better understand the development of children's occupational knowledge, as assessed by their ability to give ratings to jobs along various dimensions that were similar to ratings given by adults, and to investigate differences in boys' and girls' ratings. Overall, younger students gave higher ratings to the jobs pictured than did older students. Also, females gave higher ratings to three of the four dimensions investigated. Girls rated traditionally female jobs higher on respect and service, while boys rated traditionally male jobs higher on respect and service. Both males and females agreed that more education would be required for the female jobs pictured, but that males would be paid more money for the male jobs pictured.     

Modality of presentation and blocking in sentence recognition memory

In contrast to the findings of Bransford and Franks (1971) that no specific information is retained about acquisition sentences in their recognition memory paradigm, it was shown that subjects can consistently distinguish OLDs from NEWs when visual presentation is used, but not when auditory presentation is used. This is in agreement with the speculation of Katz and Gruenewald (1974) as to why such a split was observed in their study. This difference also has a bearing on the typical finding of no modality effects in long-term memory, as compared to the consistent superiority of auditory presentation in short-term memory. It was also found that blocking semantically related sentences during acquisition heightened the perceived "OLDness" of test sentences compared to nonblocked presentation.     

Accurate and rapid reconditioning of spaced responding

The performance maintained by reinforcing responses only when they terminated interresponse times (IRTs) of 20 sec or greater (DRL schedule) was almost the same during the first session of reconditioning as before extinction. As few as two reinforcements accurately reinstated both the pre-extinction rate of responding and the function relating the duration of an IRT to its conditional probability of occurrence (IRTs/op).