A literature synthesis of symptom prevalence and severity in persons receiving active cancer treatment
Purpose Patients with cancer experience acute and chronic symptoms caused by their
underlying disease or by the treatment. While numerous studies have examined the impact …
underlying disease or by the treatment. While numerous studies have examined the impact …
Unsupervised learning and multipartite network models: a promising approach for understanding traditional medicine
The ultimate goal of precision medicine is to determine right treatment for right patients
based on precise diagnosis. To achieve this goal, correct stratification of patients using …
based on precise diagnosis. To achieve this goal, correct stratification of patients using …
[HTML][HTML] Subty** Social Determinants of Health in the" All of Us" Program: Network Analysis and Visualization Study
Background Social determinants of health (SDoH), such as financial resources and housing
stability, account for between 30% and 55% of people's health outcomes. While many …
stability, account for between 30% and 55% of people's health outcomes. While many …
Network analysis to identify symptoms clusters and temporal interconnections in oncology patients
Oncology patients experience numerous co-occurring symptoms during their treatment. The
identification of sentinel/core symptoms is a vital prerequisite for therapeutic interventions. In …
identification of sentinel/core symptoms is a vital prerequisite for therapeutic interventions. In …
Network analysis of the multidimensional symptom experience of oncology
Oncology patients undergoing cancer treatment experience an average of fifteen unrelieved
symptoms that are highly variable in both their severity and distress. Recent advances in …
symptoms that are highly variable in both their severity and distress. Recent advances in …
Data analysis and data mining: current issues in biomedical informatics
Background: Medicine and biomedical sciences have become data-intensive fields, which,
at the same time, enable the application of data-driven approaches and require …
at the same time, enable the application of data-driven approaches and require …
[HTML][HTML] How cytokines co-occur across asthma patients: from bipartite network analysis to a molecular-based classification
SK Bhavnani, S Victor, WJ Calhoun, WW Busse… - Journal of biomedical …, 2011 - Elsevier
Asthmatic patients are currently classified as either severe or non-severe based primarily on
their response to glucocorticoids. However, because this classification is based on a post …
their response to glucocorticoids. However, because this classification is based on a post …
Inferring community structure in healthcare forums
Background: Detecting community structures in complex networks is a problem interesting to
several domains. In healthcare, discovering communities may enhance the quality of web …
several domains. In healthcare, discovering communities may enhance the quality of web …
[HTML][HTML] A Framework for Modeling and Interpreting Patient Subgroups Applied to Hospital Readmission: Visual Analytical Approach
Background A primary goal of precision medicine is to identify patient subgroups and infer
their underlying disease processes with the aim of designing targeted interventions …
their underlying disease processes with the aim of designing targeted interventions …
The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers
SK Bhavnani, G Bellala, S Victor… - Journal of the …, 2012 - academic.oup.com
Objective Several studies have shown how sets of single-nucleotide polymorphisms (SNPs)
can help to classify subjects on the basis of their continental origins, with applications to …
can help to classify subjects on the basis of their continental origins, with applications to …