Machine learning on small size samples: A synthetic knowledge synthesis
Machine Learning is an increasingly important technology dealing with the growing
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …
complexity of the digitalised world. Despite the fact, that we live in a 'Big data'world where …
Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review
Abstract Background and Aims Lapse risk when trying to stop or reduce harmful substance
use is idiosyncratic, dynamic and multi‐factorial. Just‐in‐time adaptive interventions (JITAIs) …
use is idiosyncratic, dynamic and multi‐factorial. Just‐in‐time adaptive interventions (JITAIs) …
Beyond screen time: Identity development in the digital age
I Granic, H Morita, H Scholten - Psychological Inquiry, 2020 - Taylor & Francis
We are in the midst of a global transition in which digital “screens” are no longer simply
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …
Precision health: the role of the social and behavioral sciences in advancing the vision
E Hekler, JA Tiro, CM Hunter… - Annals of Behavioral …, 2020 - academic.oup.com
Abstract Background In 2015, Collins and Varmus articulated a vision for precision medicine
emphasizing molecular characterization of illness to identify actionable biomarkers to …
emphasizing molecular characterization of illness to identify actionable biomarkers to …
Hybrid quantum neural network for drug response prediction
Simple Summary This work successfully employs a novel approach in processing patient
and drug data to predict the drug response for cancer patients. The approach uses a deep …
and drug data to predict the drug response for cancer patients. The approach uses a deep …
Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours
ABSTRACT Ecological Momentary Assessment (EMA) involves repeated, real-time
sampling of health behaviours in context. We present the state-of-knowledge in EMA …
sampling of health behaviours in context. We present the state-of-knowledge in EMA …
[PDF][PDF] Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method
The paper considers the problem of handling short sets of medical data. Effectively solving
this problem will provide the ability to solve numerous classification and regression tasks in …
this problem will provide the ability to solve numerous classification and regression tasks in …
Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom
Big data, coupled with the use of advanced analytical approaches, such as artificial
intelligence (AI), have the potential to improve medical outcomes and population health …
intelligence (AI), have the potential to improve medical outcomes and population health …
Innovative methods for observing and changing complex health behaviors: four propositions
Precision health initiatives aim to progressively move from traditional, group-level
approaches to health diagnostics and treatments toward ones that are individualized …
approaches to health diagnostics and treatments toward ones that are individualized …
Slow down and be critical before using early warning signals in psychopathology
Early warning signals are considered to be generic indicators of a system's accumulating
instability and 'critical slowing down'prior to substantial and abrupt transitions between …
instability and 'critical slowing down'prior to substantial and abrupt transitions between …