AIMC Topic: Self Report

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Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.

European radiology Sep 22, 2023
OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic analysis of its citations.
Diagnostic Imaging Self Report Checklist Humans Artificial Intelligence
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Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts.

Journal of clinical periodontology Sep 10, 2023
AIM: To evaluate if, and to what extent, machine learning models can capture clinically defined Stage III/IV periodontitis from self-report questionnaires and demographic data.
Self Report Demography Denmark Male Periodontitis Middle Aged Surveys and Questionnaires Cohort Studies Prevalence Female Aged Adult Humans Machine Learning
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Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.

BMC medical informatics and decision making Sep 9, 2023
BACKGROUND: Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, because FFQs are self-reported data, they are susceptible to response bias, social desirability bias...
Humans Random Forest Supervised Machine Learning Self Report Machine Learning Algorithms
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Deep Learning Models for Stress Analysis in University Students: A Sudoku-Based Study.

Sensors (Basel, Switzerland) Jul 2, 2023
Due to the phenomenon of "involution" in China, the current generation of college and university students are experiencing escalating levels of stress, both academically and within their families. Extensive research has shown a strong correlation bet...
Universities Emotions Self Report Students Deep Learning Humans
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Identify novel elements of knowledge with word embedding.

PloS one Jun 20, 2023
As novelty is a core value in science, a reliable approach to measuring the novelty of scientific documents is critical. Previous novelty measures however had a few limitations. First, the majority of previous measures are based on recombinant novelt...
Self Report Semantics Humans Machine Learning Surveys and Questionnaires
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Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

Medical sciences (Basel, Switzerland) May 23, 2023
There is widespread use of dietary supplements, some prescribed but many taken without a physician's guidance. There are many potential interactions between supplements and both over-the-counter and prescription medications in ways that are unknown t...
Electronic Health Records Dietary Supplements Self Report Natural Language Processing Humans
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Meta-cognition about social robots could be difficult, making self-reports about some cognitive processes less useful.

The Behavioral and brain sciences Apr 5, 2023
There are reasons to suspect that meta-cognition about construing social robots as depictions would be more difficult - or absent - than Clark and Fischer discuss. Self-reports about the cognitive processes involved might therefore tend to be incompl...
Metacognition Cognition Self Report Robotics Social Interaction Humans
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Use of robots to encourage social engagement between older adults.

Geriatric nursing (New York, N.Y.) Nov 27, 2021
We designed a robotic architecture system within a commercially available socially assistive robot to engage pairs of older adults in multimodal activities over 3 weeks for 6 sessions. The study took place in two assisted living facilities. Seven pai...
Cognitive Dysfunction Robotics Humans Aged Alzheimer Disease Self Report Aged, 80 and over Female Social Participation
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Network analysis of trauma in patients with early-stage psychosis.

Scientific reports Nov 23, 2021
Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination, negative schemas, and poor diet and exercise are common in psychosis. The present study aimed to perform a network analysis of interactions between ...
Middle Aged Psychiatric Status Rating Scales Longitudinal Studies Self Report Surveys and Questionnaires Adult Cross-Sectional Studies Humans Male Neural Networks, Computer Risk Factors Young Adult Female Psychotic Disorders Wounds and Injuries
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Social Robots for Evaluating Attention State in Older Adults.

Sensors (Basel, Switzerland) Oct 28, 2021
Sustained attention is essential for older adults to maintain an active lifestyle, and the deficiency of this function is often associated with health-related risks such as falling and frailty. The present study examined whether the well-established ...
Self Report Robotics Social Interaction Humans Task Performance and Analysis Memory, Short-Term Aged
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