ArticleCurrent topics in behavioral neurosciences2020
Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior.
Article in Current topics in behavioral neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Association Between Suicidal Ideation and Negative Affect: 6-Month Ecological Momentary Assessment Study.Journal of medical Internet research · 2026Article
- Emotion Forecasting: A Transformer-Based Approach.Journal of medical Internet research · 2025Article
- Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks.Journal of affective disorders · 2024Article
- Automatic patient functionality assessment from multimodal data using deep learning techniques - Development and feasibility evaluation.Internet interventions · 2023Article
- The use of advanced technology and statistical methods to predict and prevent suicide.Nature reviews psychology · 2023Article
- Ecological Momentary Assessment: A Systematic Review of Validity Research.Perspectives on behavior science · 2022Article
- Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning-Based Ecological Momentary Assessment Study.JMIR mental health · 2021Article
- Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.JMIR mHealth and uHealth · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years the involvement of technology in psychiatric treatment and its usefulness is increasing. The main advantages of its use lie in the possibility of collecting passively data with greater temporal granularity from each patient individually, since these devices are in direct contact almost every minute of the day with them. The variety of data collected by the all the smartphone sensors allows for a better understanding of the patient behavior through what is called the digital phenotype. So the use of a continuous monitoring system for patients at risk of suicide becomes a very useful tool for improving the quality of life of patients and for the early detection of suicide attempts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.