[HTML][HTML] Using clinical natural language processing for health outcomes research: overview and actionable suggestions for future advances
The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …
informatics research has been increasingly recognized over the past years, and has led to …
Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review
Ecological momentary assessment (EMA) and ecological momentary intervention (EMI) are
alternative approaches to retrospective self-reports and face-to-face treatments, and they …
alternative approaches to retrospective self-reports and face-to-face treatments, and they …
Personalized machine learning for robot perception of affect and engagement in autism therapy
Robots have the potential to facilitate future therapies for children on the autism spectrum.
However, existing robots are limited in their ability to automatically perceive and respond to …
However, existing robots are limited in their ability to automatically perceive and respond to …
Music mood and human emotion recognition based on physiological signals: a systematic review
Scientists and researchers have tried to establish a bond between the emotions conveyed
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …
Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress
Continuous wearable sensor data in high resolution contain physiological and behavioral
information that can be utilized to predict human health and wellbeing, establishing the …
information that can be utilized to predict human health and wellbeing, establishing the …
Stress detection system for working pregnant women using an improved deep recurrent neural network
Stress is a concerning issue in today's world. Stress in pregnancy harms both the
development of children and the health of pregnant women. As a result, assessing the stress …
development of children and the health of pregnant women. As a result, assessing the stress …
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data
DH Epstein, M Tyburski, WJ Kowalczyk… - NPJ digital …, 2020 - nature.com
Just-in-time adaptive interventions (JITAIs), typically smartphone apps, learn to deliver
therapeutic content when users need it. The challenge is to “push” content at algorithmically …
therapeutic content when users need it. The challenge is to “push” content at algorithmically …
Self-supervised transfer learning of physiological representations from free-living wearable data
Wearable devices such as smartwatches are becoming increasingly popular tools for
objectively monitoring physical activity in free-living conditions. To date, research has …
objectively monitoring physical activity in free-living conditions. To date, research has …
A treatment engine by predicting next-period prescriptions
Recent years have witnessed an opportunity for improving healthcare efficiency and quality
by mining Electronic Medical Records (EMRs). This paper is aimed at developing a …
by mining Electronic Medical Records (EMRs). This paper is aimed at developing a …
[PDF][PDF] Intelligent health risk prediction systems using machine learning: a review
SA Shinde, PR Rajeswari - Int. J. Eng. Technol, 2018 - researchgate.net
Humans are considered to be the most intelligent species on the mother earth and are
inherently more health conscious. Since Centuries mankind has discovered various proven …
inherently more health conscious. Since Centuries mankind has discovered various proven …