Data clustering: application and trends
GJ Oyewole, GA Thopil - Artificial Intelligence Review, 2023 - Springer
Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …
extracting meaningful information. The fact that no clustering algorithm can solve all …
Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer
Colorectal cancer (CRC) is the third most common cancer in terms of the number of cases
and deaths in men and women in the USA. According to the Centers for Disease Control …
and deaths in men and women in the USA. According to the Centers for Disease Control …
Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling
WO Oh, E Lee, Y Heo, MJ Jung… - Journal of Nursing …, 2024 - Wiley Online Library
Introduction The emergence of novel infectious diseases has amplified the urgent need for
effective prevention strategies, especially ones targeting vulnerable populations such as …
effective prevention strategies, especially ones targeting vulnerable populations such as …
When will I get out of the hospital? Modeling length of stay using comorbidity networks
P Kalgotra, R Sharda - Journal of Management Information …, 2021 - Taylor & Francis
ABSTRACT A reliable and accurate estimate of the expected hospital length of stay (LOS) of
a patient is important to patients, medical providers, and insurance companies. Predicting …
a patient is important to patients, medical providers, and insurance companies. Predicting …
A network-based study reveals multimorbidity patterns in people with type 2 diabetes
Z Zhang, P He, H Yao, R Jing, W Sun, P Lu, Y Xue, J Qi… - Iscience, 2023 - cell.com
Patients with type 2 diabetes mellitus (T2DM) are at a heightened risk of living with multiple
comorbidities. However, the comprehension of the multimorbidity characteristics of T2DM is …
comorbidities. However, the comprehension of the multimorbidity characteristics of T2DM is …
Sex-specific connectivity modelling for brown bear conservation in the Carpathian Mountains
MP García-Sánchez, S González-Ávila… - Landscape …, 2022 - Springer
Context Romania is currently one of the best-connected landscapes, with high-quality
habitats and a high density of brown bears. However, regional development measures are …
habitats and a high density of brown bears. However, regional development measures are …
Evolution of knowledge structure in an emerging field based on a triple helix model: The case of smart factory
As an important emerging field of science and technology, smart factories have received
attention from academia, industry, and the government. Currently, although some scholars …
attention from academia, industry, and the government. Currently, although some scholars …
Causal relationships between diseases mined from the literature improve the use of polygenic risk scores
Motivation Identifying causal relations between diseases allows for the study of shared
pathways, biological mechanisms, and inter-disease risks. Such causal relations can …
pathways, biological mechanisms, and inter-disease risks. Such causal relations can …
Comparison of two statistical models for predicting mortality in COVID-19 patients in Iran
Background: Today, the COVID-19 pandemic is ever-increasingly challenging healthcare
systems globally with many uncertainties and ambiguities regarding disease behavior and …
systems globally with many uncertainties and ambiguities regarding disease behavior and …
Multimorbidity in neurodegenerative diseases: a network analysis
The socioeconomic costs of neurodegenerative diseases (NDs) are highly affected by
comorbidities. This study aims to enhance our understanding of the prevalent complications …
comorbidities. This study aims to enhance our understanding of the prevalent complications …