AIMC Topic: Surveys and Questionnaires

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Machine learning discovery of longitudinal patterns of depression and suicidal ideation.

PloS one Sep 20, 2019
BACKGROUND AND AIM: Depression is often accompanied by thoughts of self-harm, which are a strong predictor of subsequent suicide attempt and suicide death. Few empirical data are available regarding the temporal correlation between depression symptom...
Suicidal Ideation Humans Male Time Factors Machine Learning Middle Aged Longitudinal Studies Psychiatric Status Rating Scales Female Depression Remission Induction Adult Normal Distribution Surveys and Questionnaires
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Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BMC psychiatry Sep 7, 2019
BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information's for patient management. Artificial intelligence (AI) techniques allow processing o...
Research Design Female Adult Male Suicide, Attempted Humans Artificial Intelligence France Spain Polysomnography Ecological Momentary Assessment Appetite Surveys and Questionnaires Wearable Electronic Devices Smartphone Randomized Controlled Trials as Topic Telemedicine
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Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.

Journal of affective disorders Sep 4, 2019
BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general hospitals in China leads to possible misdiagnosis. Looking at the symptomatology of first-visit patients with MDD in different mental health services...
Diagnostic and Statistical Manual of Mental Disorders Hospitals, General Hospitals, Psychiatric Young Adult Adult Diagnostic Errors Male Middle Aged Humans Machine Learning Female Depressive Disorder, Major China Surveys and Questionnaires Suicidal Ideation Symptom Assessment
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Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

International journal of molecular sciences Aug 29, 2019
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleuki...
Humans Machine Learning Cytokines Female Middle Aged Quality of Life Anxiety Severity of Illness Index Psychiatric Status Rating Scales Inflammation Mediators Depression Multivariate Analysis Surveys and Questionnaires Fibromyalgia Signal Transduction C-Reactive Protein Pain
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The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence in medicine Aug 21, 2019
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. ...
Speech Recognition Software Artificial Intelligence Female Male Body Mass Index Middle Aged Body Weight Deep Learning Surveys and Questionnaires Probability Waist Circumference User-Computer Interface Humans Body Height Decision Support Systems, Clinical Neural Networks, Computer Diabetes Mellitus, Type 2
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The Attitudes of Therapists and Physicians on the Use of Sex Robots in Sexual Therapy: Online Survey and Interview Study.

Journal of medical Internet research Aug 20, 2019
BACKGROUND: Various types of robots have already been successfully used in medical care, and the use of new technologies is also playing an increasing role in the area of sexuality. Sex robots are marketed as advanced sex toys and sex dolls with arti...
Interview, Psychological Female Adult Allied Health Personnel Male Middle Aged Humans Surveys and Questionnaires Physicians Attitude of Health Personnel Robotics Sexual Behavior Psychotherapy
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Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.

Critical care (London, England) Aug 16, 2019
BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for AKI using routinely collected patient information, and accessibl...
Adult Male Middle Aged Surveys and Questionnaires Clinical Competence ROC Curve Area Under Curve Prospective Studies Acute Kidney Injury Critical Illness Female Humans Aged Machine Learning Physicians
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Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.

European journal of cancer (Oxford, England : 1990) Aug 14, 2019
BACKGROUND: Recently, convolutional neural networks (CNNs) systematically outperformed dermatologists in distinguishing dermoscopic melanoma and nevi images. However, such a binary classification does not reflect the clinical reality of skin cancer s...
Male Surveys and Questionnaires Diagnosis, Differential Biopsy Dermatologists Female Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity Hospitals, University Nevus Humans Neural Networks, Computer Algorithms
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Home care aides' observations and machine learning algorithms for the prediction of visits to emergency departments by older community-dwelling individuals receiving home care assistance: A proof of concept study.

PloS one Aug 13, 2019
BACKGROUND: Older individuals receiving home assistance are at high risk for emergency visits and unplanned hospitalization. Anticipating their health difficulties could prevent these events. This study investigated the effectiveness of an at-home mo...
Frail Elderly Humans Predictive Value of Tests Machine Learning Emergency Service, Hospital Independent Living Hospitalization Algorithms Geriatric Assessment Home Care Services Aged Prospective Studies Proof of Concept Study Home Health Aides Aged, 80 and over Female Male Surveys and Questionnaires
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Deep neural networks are superior to dermatologists in melanoma image classification.

European journal of cancer (Oxford, England : 1990) Aug 8, 2019
BACKGROUND: Melanoma is the most dangerous type of skin cancer but is curable if detected early. Recent publications demonstrated that artificial intelligence is capable in classifying images of benign nevi and melanoma with dermatologist-level preci...
Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Surveys and Questionnaires Humans Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Nevus ROC Curve Biopsy Skin Dermatologists
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