AIMC Topic: Affect

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Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.

Translational psychiatry May 19, 2025
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...
Adult Male Middle Aged Female Young Adult Affect Mood Disorders Accelerometry Machine Learning Phenotype Humans Wearable Electronic Devices Smartphone Psychotic Disorders
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Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

The international journal of neuropsychopharmacology Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Humans Severity of Illness Index Case-Control Studies RNA-Seq Biomarkers Depressive Disorder, Major Predictive Value of Tests Treatment Outcome Antidepressive Agents Supervised Machine Learning Unsupervised Machine Learning Circulating MicroRNA Affect
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Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.

International journal of sports physiology and performance Sep 1, 2019
PURPOSE: The influence of preceding load and future perceived wellness of professional soccer players is unexamined. This paper simultaneously evaluates the external load (EL) and internal load (IL) for different time frames in combination with prese...
Soccer Myalgia Accelerometry Fatigue Health Status Athletes Humans Affect Physical Conditioning, Human Forecasting Geographic Information Systems Machine Learning Young Adult Sleep Stress, Psychological Adult Models, Theoretical Male
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Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.

Journal of psychiatric practice Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
Female Adult Length of Stay Personality Male Borderline Personality Disorder Inpatients Bipolar Disorder Humans Models, Statistical Machine Learning Patient Readmission Affect
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AI in Action: How algorithms can analyze the mood of the masses.

Science (New York, N.Y.) Jul 7, 2017
Mass Behavior Social Media Affect Humans Machine Learning Algorithms
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Gaussian process dynamical models for multimodal affect recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Affective computing systems has a great potential in applications for biofeedback systems and cognitive conductual therapies. Here, by analyzing the physiological behavior of a given subject, we can infer the affective state of an emotional process. ...
Support Vector Machine Affect Models, Psychological Humans Normal Distribution Arousal
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Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Journal of autism and developmental disorders Nov 1, 2015
Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviours. Technological tools, such as robots, received increased attention as social reinforces and/or assisting tools for improving the performance of chil...
Reversal Learning Female Humans Child, Preschool Male Child Attention Robotics Autism Spectrum Disorder Case-Control Studies Affect
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