☆ 4.7 Review

Predicting onset of disease progression using temporal disease occurrence networks

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities

Haohui Lu et al.

Summary: This study predicts chronic diseases and their comorbidities using administrative health data and applies graph theory and content-based recommender system approaches. The models with network features show better performance in predicting chronic diseases and their latent comorbidities.

APPLIED INTELLIGENCE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Adapting k-means for graph clustering

Sami Sieranoja et al.

Summary: We propose two new algorithms for clustering graphs and networks: the K-algorithm, derived from the k-means algorithm, and the M-algorithm, which outperforms eight other state-of-the-art methods. A case study analyzing disease co-occurrence network clustering results demonstrates the algorithms' usefulness in important real-life applications.

KNOWLEDGE AND INFORMATION SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus

Haohui Lu et al.

Summary: The study utilized real-world healthcare data and developed a model for predicting chronic diseases, specifically type 2 diabetes, by combining patient networks and machine learning methods to accurately assess the risk of developing such conditions.

APPLIED INTELLIGENCE (2022)

添加到收藏夹

Article Medical Informatics

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Johan H. Thygesen et al.

Summary: This study used nationwide linked electronic health records to define and validate ten COVID-19 phenotypes, providing insights into the different stages and transitions of the disease. The results showed infection rates, hospitalization rates, intensive care unit usage, and mortality rates of COVID-19. Longer patient trajectories were observed in the second wave compared to the first wave.

LANCET DIGITAL HEALTH (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes

Ekramul Hossain et al.

Summary: The study proposed a risk prediction model utilizing administrative data to assess the risk of cardiovascular diseases in type 2 diabetes patients, achieving classifiers accuracy ranging from 79% to 88%. The model shows potential for medical practice and stakeholders to develop health management programs for high-risk patients developing chronic diseases.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

A weighted patient network-based framework for predicting chronic diseases using graph neural networks

Haohui Lu et al.

Summary: The article presents a framework based on Graph Neural Networks for predicting patients with chronic diseases. By extracting the latent relationships among patients and building prediction models using GNN techniques, the accuracy of chronic disease prediction was successfully improved.

SCIENTIFIC REPORTS (2021)

添加到收藏夹

Review Psychiatry

A systematic review of the association between biological markers and environmental stress risk factors for adolescent depression

Zuzanna Zajkowska et al.

Summary: The study found that increased inflammation, telomere length, and brain abnormalities were associated with an increased risk of major depressive disorder (MDD) in the context of early life adversity. However, there is limited evidence suggesting that neurobiological changes related to recent life stress are associated with MDD.

JOURNAL OF PSYCHIATRIC RESEARCH (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients

Troels Siggaard et al.

NATURE COMMUNICATIONS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes

Arif Khan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

添加到收藏夹

Article Computer Science, Information Systems

Predicting High-Cost Patients at Point of Admission Using Network Science

Karthik Srinivasan et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)

添加到收藏夹

Article Computer Science, Information Systems

Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression

Arif Khan et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2018)

添加到收藏夹

Article Engineering, Industrial

Algorithmic prediction of individual diseases

Runkang Ding et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)

添加到收藏夹

Review Medicine, General & Internal

Master Protocols to Study Multiple Therapies, Multiple Diseases, or Both

Janet Woodcock et al.

NEW ENGLAND JOURNAL OF MEDICINE (2017)

添加到收藏夹

Article Public, Environmental & Occupational Health

Registers of the Swedish total population and their use in medical research

Jonas F. Ludvigsson et al.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2016)

添加到收藏夹

Article Respiratory System

COPD comorbidities network

Miguel J. Divo et al.

EUROPEAN RESPIRATORY JOURNAL (2015)

添加到收藏夹

Review Medicine, General & Internal

Understanding Decision Making in Critical Care

Geoffrey K. Lighthall et al.

CLINICAL MEDICINE & RESEARCH (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients

Anders Boeck Jensen et al.

NATURE COMMUNICATIONS (2014)

添加到收藏夹

Editorial Material Health Care Sciences & Services

Maximising the value of hospital administrative datasets

Shyamala G. Nadathur

AUSTRALIAN HEALTH REVIEW (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Time to CARE: a collaborative engine for practical disease prediction

Darcy A. Davis et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2010)

添加到收藏夹

Article Biochemical Research Methods

A Dynamic Network Approach for the Study of Human Phenotypes

Cesar A. Hidalgo et al.

PLOS COMPUTATIONAL BIOLOGY (2009)

添加到收藏夹

Article Mechanics

Fast unfolding of communities in large networks

Vincent D. Blondel et al.

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2008)

添加到收藏夹

Article Health Care Sciences & Services

Intelligent information: A national system for monitoring clinical performance

Alex Bottle et al.

HEALTH SERVICES RESEARCH (2008)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.