Practical foundations of machine learning for addiction research. Part I. Methods and techniques
P Cresta Morgado, M Carusso… - The American Journal …, 2022 - Taylor & Francis
Machine learning assembles a broad set of methods and techniques to solve a wide range
of problems, such as identifying individuals with substance use disorders (SUD), finding …
of problems, such as identifying individuals with substance use disorders (SUD), finding …
Persistent somatic symptoms are key to individual illness perception at one year after COVID-19 in a cross-sectional analysis of a prospective cohort study
K Hüfner, P Tymoszuk, S Sahanic, A Luger… - Journal of …, 2023 - Elsevier
Objective Subjective illness perception (IP) can differ from physician's clinical assessment
results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) …
results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) …
Variable selection in omics data: A practical evaluation of small sample sizes
In omics experiments, variable selection involves a large number of metabolites/genes and
a small number of samples (the n< p problem). The ultimate goal is often the identification of …
a small number of samples (the n< p problem). The ultimate goal is often the identification of …
Nurses' and Families' perceptions and practices and factors influencing the implementation of family‐centred care for hospitalised children and their families
Abstract Aims and Objectives To explore the perceptions of family‐centred care among
nurses and the family members of hospitalised children and investigate the facilitators of and …
nurses and the family members of hospitalised children and investigate the facilitators of and …
[HTML][HTML] RHDSI: a novel dimensionality reduction based algorithm on high dimensional feature selection with interactions
Classical statistical learning techniques struggle to perform feature selection in high-
dimensional data that includes interaction effects ie, when independent feature/s influence …
dimensional data that includes interaction effects ie, when independent feature/s influence …
Impact of medical interventions and comorbidities on Norwood admission for patients with hypoplastic left heart syndrome
The purpose of these analyses was to determine how specific comorbidities and medical
interventions impact risk of inpatient mortality in those with hypoplastic left heart syndrome …
interventions impact risk of inpatient mortality in those with hypoplastic left heart syndrome …
Biological market effects predict cleaner fish strategic sophistication
Market-like situations emerge in nature when trading partners exchange goods and
services. However, how partner choice option contributes to the expression of social …
services. However, how partner choice option contributes to the expression of social …
Visualization and prediction of CRISPR incidence in microbial trait-space to identify drivers of antiviral immune strategy
Bacteria and archaea are locked in a near-constant battle with their viral pathogens. Despite
previous mechanistic characterization of numerous prokaryotic defense strategies, the …
previous mechanistic characterization of numerous prokaryotic defense strategies, the …
Prediction of alcohol use disorder using personality disorder traits: a twin study
Abstract Background and Aims The DSM‐IV personality disorders (PDs) are comorbid with
alcohol use disorder (AUD) and with each other. It remains unclear which PD criteria are …
alcohol use disorder (AUD) and with each other. It remains unclear which PD criteria are …
Risk and protective factors for structural brain ageing in the eighth decade of life
Individuals differ markedly in brain structure, and in how this structure degenerates during
ageing. In a large sample of human participants (baseline n= 731 at age 73 years; follow-up …
ageing. In a large sample of human participants (baseline n= 731 at age 73 years; follow-up …