AIMC Topic: Surveys and Questionnaires

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Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

JDR clinical and translational research Nov 11, 2019
OBJECTIVES: Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral heal...
Humans Machine Learning Child Oral Health Bayes Theorem Algorithms Surveys and Questionnaires Adolescent Child, Preschool
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Patients' views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire.

European radiology Nov 8, 2019
OBJECTIVES: The patients' view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of A...
Young Adult Adult Male Middle Aged Prospective Studies Humans Reproducibility of Results Artificial Intelligence Aged Aged, 80 and over Radiology Netherlands Surveys and Questionnaires Attitude to Computers Psychometrics Attitude to Health Adolescent Radiography
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SECNLP: A survey of embeddings in clinical natural language processing.

Journal of biomedical informatics Nov 8, 2019
Distributed vector representations or embeddings map variable length text to dense fixed length vectors as well as capture prior knowledge which can transferred to downstream tasks. Even though embeddings have become de facto standard for text repres...
Natural Language Processing Knowledge Surveys and Questionnaires
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Using machine learning to predict opioid misuse among U.S. adolescents.

Preventive medicine Nov 6, 2019
This study evaluated prediction performance of three different machine learning (ML) techniques in predicting opioid misuse among U.S. adolescents. Data were drawn from the 2015-2017 National Survey on Drug Use and Health (N = 41,579 adolescents, age...
Humans Child Logistic Models United States Adolescent Behavior Area Under Curve Opioid-Related Disorders Male Risk Assessment Surveys and Questionnaires Machine Learning Adolescent Algorithms Female
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An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.

Sensors (Basel, Switzerland) Oct 20, 2019
In recent years, affective computing has been actively researched to provide a higher level of emotion-awareness. Numerous studies have been conducted to detect the user's emotions from physiological data. Among a myriad of target emotions, boredom, ...
Boredom Discriminant Analysis Electroencephalography Galvanic Skin Response Machine Learning Humans Female Male Young Adult Surveys and Questionnaires Adult ROC Curve Area Under Curve
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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.

JMIR mHealth and uHealth Oct 16, 2019
BACKGROUND: Although geriatric depression is prevalent, diagnosis using self-reporting instruments has limitations when measuring the depressed mood of older adults in a community setting. Ecological momentary assessment (EMA) by using wearable devic...
Residence Characteristics Ecological Momentary Assessment Female Aged Aged, 80 and over Male Depression Surveys and Questionnaires Wearable Electronic Devices Logistic Models Humans Machine Learning Republic of Korea
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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

PloS one Oct 10, 2019
BACKGROUND: Rare diseases (RD) result in a wide variety of clinical presentations, and this creates a significant diagnostic challenge for health care professionals. We hypothesized that there exist a set of consistent and shared phenomena among all ...
Humans Chronic Disease Health Personnel Male Artificial Intelligence Female Data Mining Surveys and Questionnaires Machine Learning Young Adult Patients Adolescent Adult Rare Diseases Health Status
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Predicting likelihood of psychological disorders in PlayerUnknown's Battlegrounds (PUBG) players from Asian countries using supervised machine learning.

Addictive behaviors Oct 4, 2019
Multiplayer Online Battle Arena (MOBA) has become one of the most popular genre of online video games played by gamers worldwide. Previous studies have exhibited that excessive engagement in games can lead to Internet Gaming Disorder (IGD). Internet ...
Humans Female Reproducibility of Results Young Adult Adult Male Supervised Machine Learning Asia Internet Addiction Disorder Surveys and Questionnaires Adolescent Self Concept
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Development of a clinical support system for identifying social frailty.

International journal of medical informatics Sep 26, 2019
OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is characterized by high vulnerability and low resilience, and its extensive influence in clinical practice is challenging. This study aims to develop a soc...
Frailty Frail Elderly Cross-Sectional Studies Male Surveys and Questionnaires ROC Curve Electronic Health Records Female Aged Humans Neural Networks, Computer Machine Learning Software
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Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction.

Artificial intelligence in medicine Sep 24, 2019
Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of antibiotic treatment of patients with severe sepsis by only few hours is associated with increased mortality. This insight makes accurate models for early...
Female Male Middle Aged Surveys and Questionnaires Diagnosis, Computer-Assisted Humans Sepsis Models, Statistical Machine Learning Observer Variation Intensive Care Units
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