Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management
Biosensors are emerging as efficient (sensitive and selective) and affordable analytical
diagnostic tools for early-stage disease detection, as required for personalized health …
diagnostic tools for early-stage disease detection, as required for personalized health …
Don't miss the moment: a systematic review of ecological momentary assessment in suicide research
Suicide and suicide-related behaviors are prevalent yet notoriously difficult to predict.
Specifically, short-term predictors and correlates of suicide risk remain largely unknown …
Specifically, short-term predictors and correlates of suicide risk remain largely unknown …
Using machine learning and thematic analysis methods to evaluate mental health apps based on user reviews
The proliferation of smartphones has led to an increase in mobile health (mHealth) apps
over the years. Thus, it is imperative to evaluate these apps by identifying shortcomings or …
over the years. Thus, it is imperative to evaluate these apps by identifying shortcomings or …
[HTML][HTML] Clinical applications of mobile health wearable–based sleep monitoring: systematic review
E Guillodo, C Lemey, M Simonnet… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background Sleep disorders are a major public health issue. Nearly 1 in 2 people
experience sleep disturbances during their lifetime, with a potential harmful impact on well …
experience sleep disturbances during their lifetime, with a potential harmful impact on well …
E-health practices and technologies: a systematic review from 2014 to 2019
E-health can be defined as a set of technologies applied with the help of the internet, in
which healthcare services are provided to improve quality of life and facilitate healthcare …
which healthcare services are provided to improve quality of life and facilitate healthcare …
[HTML][HTML] iHealth: The ethics of artificial intelligence and big data in mental healthcare
G Rubeis - Internet Interventions, 2022 - Elsevier
The concept of intelligent health (iHealth) in mental healthcare integrates artificial
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …
[HTML][HTML] Digital phenotyping: data-driven psychiatry to redefine mental health
The term “digital phenotype” refers to the digital footprint left by patient-environment
interactions. It has potential for both research and clinical applications but challenges our …
interactions. It has potential for both research and clinical applications but challenges our …
[HTML][HTML] Efficacy of a smartphone app intervention for reducing caregiver stress: randomized controlled trial
Background: Caregivers play a pivotal role in maintaining an economically viable health
care system, yet they are characterized by low levels of psychological well-being and …
care system, yet they are characterized by low levels of psychological well-being and …
Predictive, personalized, preventive and participatory (4P) medicine applied to telemedicine and eHealth in the literature
The main objective of this work is to provide a review of existing research work into
predictive, personalized, preventive and participatory medicine in telemedicine and ehealth …
predictive, personalized, preventive and participatory medicine in telemedicine and ehealth …
Mining social networks to improve suicide prevention: A scoping review
Attention about the risks of online social networks (SNs) has been called upon reports
describing their use to express emotional distress and suicidal ideation or plans. On the …
describing their use to express emotional distress and suicidal ideation or plans. On the …