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View article: Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned Open
Background Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid and reliable machine-learning algorithms.…
View article: A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors
A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors Open
View article: Passive Sensing for the Prediction of Suicidal Thoughts and Behaviors: A Systematic Review and Recommendations for Future Research
Passive Sensing for the Prediction of Suicidal Thoughts and Behaviors: A Systematic Review and Recommendations for Future Research Open
Predicting suicidal thoughts and behaviors (STB) remains challenging. The use of passive sensing data gathered through smartphones and wearables may contribute to overcoming current limitations in STB prediction. In this systematic review,…
View article: Beyond traditional interviews: Psychometric analysis of asynchronous video interviews for personality and interview performance evaluation using machine learning
Beyond traditional interviews: Psychometric analysis of asynchronous video interviews for personality and interview performance evaluation using machine learning Open
View article: Unsupervised Multimodal Learning for Dependency-Free Personality Recognition
Unsupervised Multimodal Learning for Dependency-Free Personality Recognition Open
Recent advances in AI-based learning models have significantly increased the accuracy of Automatic Personality Recognition (APR). However, these methods either require training data from the same subject or the meta-information from the tr…
View article: Applicant reactions to algorithm‐ versus recruiter‐based evaluations of an asynchronous video interview and a personality inventory
Applicant reactions to algorithm‐ versus recruiter‐based evaluations of an asynchronous video interview and a personality inventory Open
In two studies, we examined the effects of algorithm‐based (vs. recruiter‐based) evaluations of an asynchronous video interview and a personality inventory on applicant reactions. In line with our expectations, we found several negative ap…
View article: Deep Statistical Solver for Distribution System State Estimation
Deep Statistical Solver for Distribution System State Estimation Open
Implementing accurate Distribution System State Estimation (DSSE) faces several challenges, among which the lack of observability and the high density of the distribution system. While data-driven alternatives based on Machine Learning mod…
View article: Deep Statistical Solver for Distribution System State Estimation
Deep Statistical Solver for Distribution System State Estimation Open
Implementing accurate Distribution System State Estimation (DSSE) faces several challenges, among which the lack of observability and the high density of the distribution system. While data-driven alternatives based on Machine Learning mod…
View article: The kernel of truth in text-based personality assessment: A meta-analysis of the relations between the Big Five and the Linguistic Inquiry and Word Count (LIWC).
The kernel of truth in text-based personality assessment: A meta-analysis of the relations between the Big Five and the Linguistic Inquiry and Word Count (LIWC). Open
The Linguistic Inquiry and Word Count (LIWC) is a popular closed-vocabulary text analysis software program that is used to understand whether individuals’ use of linguistic categories (i.e., word categories, such as negative affect) depend…
View article: Randomized feasibility trial of the Scleroderma Patient-centered Intervention Network hand exercise program (SPIN-HAND)
Randomized feasibility trial of the Scleroderma Patient-centered Intervention Network hand exercise program (SPIN-HAND) Open
Purpose The Scleroderma Patient-centered Intervention Network (SPIN) online hand exercise program (SPIN-HAND), is an online self-help program of hand exercises designed to improve hand function for people with scleroderma. The objective of…
View article: Exploring the application of a text-to-personality technique in job interviews
Exploring the application of a text-to-personality technique in job interviews Open
This research’s purpose was to develop a valid and transparent text-to-personality technique to fit the requirements for personnel selection assessments. In this research we developed an advanced word-counting technique, the HEXACO text-to…
View article: The scleroderma patient-centered intervention network self-management program : Protocol for a randomized feasibility trial
The scleroderma patient-centered intervention network self-management program : Protocol for a randomized feasibility trial Open
Background: Systemic sclerosis (SSc), or scleroderma, is a rare disease that often results in significant disruptions to activities of daily living and can negatively affect physical and psychological well-being. Because there is no known …
View article: The Scleroderma Patient-Centered Intervention Network Self-Management Program: Protocol for a Randomized Feasibility Trial
The Scleroderma Patient-Centered Intervention Network Self-Management Program: Protocol for a Randomized Feasibility Trial Open
Background Systemic sclerosis (SSc), or scleroderma, is a rare disease that often results in significant disruptions to activities of daily living and can negatively affect physical and psychological well-being. Because there is no known c…
View article: Predictive Modeling in E-Mental Health: Exploring Applicability in Personalised Depression Treatment
Predictive Modeling in E-Mental Health: Exploring Applicability in Personalised Depression Treatment Open
View article: The Scleroderma Patient-Centered Intervention Network Self-Management Program: Protocol for a Randomized Feasibility Trial (Preprint)
The Scleroderma Patient-Centered Intervention Network Self-Management Program: Protocol for a Randomized Feasibility Trial (Preprint) Open
BACKGROUND Systemic sclerosis (SSc), or scleroderma, is a rare disease that often results in significant disruptions to activities of daily living and can negatively affect physical and psychological well-being. Because there is no known …
View article: GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care Open
The huge wealth of data in the health domain can be exploited to create models that predict development of health states over time. Temporal learning algorithms are well suited to learn relationships between health states and make predicti…
View article: Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study
Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study Open
The low human-human agreement on the presence of emotions may be due to the nature of the texts, it may simply be difficult for humans to agree on the presence of the selected emotions, or perhaps trained therapists would have reached more…
View article: Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis
Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis Open
Our results indicate that it was feasible to provide personalized treatment recommendations at baseline and thus allocate patients to the most beneficial treatment type. This could potentially lead to improved decision-making, better outco…
View article: Predictive modeling in e-mental health: A common language framework
Predictive modeling in e-mental health: A common language framework Open
View article: Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis (Preprint)
Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis (Preprint) Open
BACKGROUND Different treatment alternatives exist for psychological disorders. Both clinical and cost effectiveness of treatment are crucial aspects for policy makers, therapists, and patients and thus play major roles for healthcare deci…
View article: Predicting therapy success for treatment as usual and blended treatment in the domain of depression
Predicting therapy success for treatment as usual and blended treatment in the domain of depression Open
In this paper, we explore the potential of predicting therapy success for patients in mental health care. Such predictions can eventually improve the process of matching effective therapy types to individuals. In the EU project E-COMPARED,…
View article: Assessment of temporal predictive models for health care using a formal method
Assessment of temporal predictive models for health care using a formal method Open
View article: An Agent-Based Aggression De-escalation Training Application for Football Referees
An Agent-Based Aggression De-escalation Training Application for Football Referees Open
View article: Simulation-Based Prediction and Analysis of Collective Emotional States
Simulation-Based Prediction and Analysis of Collective Emotional States Open