Prediction of Diabetic Macular Edema Using Knowledge Graph

Article Chemistry, Multidisciplinary

Application of Machine Learning Predictive Models for Early Detection of Glaucoma Using Real World Data

Murugesan Raju et al.

Summary: Early detection of glaucoma is crucial for preventing irreversible blindness. A predictive analytic framework was developed using machine learning and logistic regression methods on electronic health records (EHR) from over 650 hospitals and clinics in the USA. The study found that the XGBoost, MLP, and RF methods performed well in predicting glaucoma one year before onset, with an AUC score of 0.81, compared to 0.73 for logistic regression. This suggests that machine learning methods can identify potential pre-glaucoma patients in advance, leading to early intervention and prevention.

APPLIED SCIENCES-BASEL (2023)

添加到收藏夹

Article Chemistry, Multidisciplinary

Patient Mortality Prediction and Analysis of Health Cloud Data Using a Deep Neural Network

Abdullah Alourani et al.

Summary: Cloud computing plays a crucial role in healthcare by storing and analyzing big data. With the increasing pressure on healthcare services, accurate and early prediction of disease severity and patient mortality is vital. This article presents a deep learning model for predicting patient mortality using the MIMIC-III dataset, with the aim of reducing mortality rates. The proposed model is evaluated using various parameters and compared to state-of-the-art models to validate its effectiveness.

APPLIED SCIENCES-BASEL (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation

Fan Gong et al.

Summary: Traditional medicine recommendation systems based on EMRs face content limitations, leading to inaccuracies. Therefore, a new framework called SMR is proposed, which constructs a high-quality heterogeneous graph by combining EMRs and medical knowledge graphs for joint embedding to achieve medicine recommendation. Experimental results demonstrate the effectiveness of the proposed framework.

BIG DATA RESEARCH (2021)

添加到收藏夹

Article Medicine, General & Internal