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Self Report

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Social Robots for Evaluating Attention State in Older Adults.

Sensors (Basel, Switzerland)
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 ...

Use of robots to encourage social engagement between older adults.

Geriatric nursing (New York, N.Y.)
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...

Network analysis of trauma in patients with early-stage psychosis.

Scientific reports
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 ...

Identify novel elements of knowledge with word embedding.

PloS one
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...

Meta-cognition about social robots could be difficult, making self-reports about some cognitive processes less useful.

The Behavioral and brain sciences
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...

Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

Medical sciences (Basel, Switzerland)
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...

Deep Learning Models for Stress Analysis in University Students: A Sudoku-Based Study.

Sensors (Basel, Switzerland)
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...

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

European radiology
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.

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
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.

Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.

BMC medical informatics and decision making
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...