AIMC Topic: Self Report
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A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data.
IEEE journal of biomedical and health informatics
Jun 11, 2019
Constructing statistical models using personal sensor data could allow for tracking health status over time, thereby enabling the possibility of early intervention. The goal of this study was to use machine learning algorithms to classify patient-rep...
Uncovering the structure of self-regulation through data-driven ontology discovery.
Nature communications
May 24, 2019
Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by siloed scientific traditions and a focus on explanation over prediction, two issue...
Impact of the rise of artificial intelligence in radiology: What do radiologists think?
Diagnostic and interventional imaging
May 6, 2019
PURPOSE: The purpose of this study was to assess the perception, knowledge, wishes and expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) in radiology.
Research on Patient Satisfaction of Robotic Telerounding: A Pilot Study in a Korean Population.
Urology
May 3, 2019
OBJECTIVES: To evaluate the efficacy and functionality of robotic telerounding among Korean patients using the RP-7 robot system and a questionnaire survey comparing the results of robotic telerounding and standard rounding in Korean patients.
Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.
Journal of affective disorders
Mar 30, 2019
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major depressive disorder (MDD) and investigational for other conditions including posttraumatic stress disorder (PTSD). Understanding the mechanisms of TMS ac...
Self Report
Transcranial Magnetic Stimulation
Rhode Island
Depressive Disorder, Major
Comorbidity
Prefrontal Cortex
Stress Disorders, Post-Traumatic
Treatment Outcome
Support Vector Machine
Predictive Value of Tests
Electroencephalography
Female
Sensitivity and Specificity
Male
Middle Aged
Humans
Machine Learning
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.
Translational psychiatry
Dec 13, 2018
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mo...
Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it's unclear to what extent patient-reported CVD information is accu...
Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.
Journal of anxiety disorders
Oct 30, 2018
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. Inexpensive and accurate person-level assessment of PTSD risk after trauma exposure is a critical precursor to large-scale deployment of early intervent...
Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.
Experimental brain research
May 30, 2018
Chronic fatigue syndrome (CFS) is a disorder associated with fatigue, pain, and structural/functional abnormalities seen during magnetic resonance brain imaging (MRI). Therefore, we evaluated the performance of structural MRI (sMRI) abnormalities in ...
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