Patient similarity via joint embeddings of medical knowledge graph and medical entity descriptions
Z Lin, D Yang, X Yin - IEEE Access, 2020 - ieeexplore.ieee.org
With the prevalence and growing volume of Electronic Health Records (EHRs), there has
been increasing interest in mining EHRs for improving clinical decision support. The …
been increasing interest in mining EHRs for improving clinical decision support. The …
Self-supervised graph learning with hyperbolic embedding for temporal health event prediction
Electronic health records (EHRs) have been heavily used in modern healthcare systems for
recording patients' admission information to health facilities. Many data-driven approaches …
recording patients' admission information to health facilities. Many data-driven approaches …
Learning and recommending treatments using electronic medical records
KH Hoang, TB Ho - Knowledge-Based Systems, 2019 - Elsevier
Abstract Treatment directly affects patient health status. In recent years, the fast development
electronic medical records (EMRs) has provided valuable resources for solving healthcare …
electronic medical records (EMRs) has provided valuable resources for solving healthcare …
[PDF][PDF] Learning patient similarity via heterogeneous medical knowledge graph embedding
Z Lin, D Yang, H Jiang, H Yin - IAENG International Journal of Computer …, 2021 - iaeng.org
With the effective adoption of EHRs in clinical care, an increasing number of researchers
contribute to meaningful use of EHRs for advancing in performance of patient similarity …
contribute to meaningful use of EHRs for advancing in performance of patient similarity …
Multimodal Attention Network for Dementia Prediction
The early identification of an individual's dementia risk is crucial for disease prevention and
the design of insurance products in an aging society. This study aims to accurately predict …
the design of insurance products in an aging society. This study aims to accurately predict …
RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data …
Background and objective: With the advent of bioinformatics, biological databases have
been constructed to computerize data. Biological systems can be described as interactions …
been constructed to computerize data. Biological systems can be described as interactions …
[PDF][PDF] Medical Concept Embedding with Variable Temporal Scopes for Patient Similarity.
Z Lin, D Yang - Engineering Letters, 2020 - engineeringletters.com
Electronic Health Records (EHRs) provide the possibilities to improve patient care and
promote clinical research. In recent years, there has been an exponential increase in the …
promote clinical research. In recent years, there has been an exponential increase in the …
Con2Vec: Learning embedding representations for contrast sets
Contrast sets are used in many knowledge-based systems to capture data patterns relevant
to a target variable. While they have many advantages such as being highly interpretable …
to a target variable. While they have many advantages such as being highly interpretable …
MedCV: An interactive visualization system for patient cohort identification from medical claim data
Healthcare providers generate a medical claim after every patient visit. A medical claim
consists of a list of medical codes describing the diagnosis and any treatment provided …
consists of a list of medical codes describing the diagnosis and any treatment provided …
A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients
Heart failure (HF) contributes to circa 200,000 annual hospitalizations in France. With the
increasing age of HF patients, elucidating the specific causes of inpatient mortality became a …
increasing age of HF patients, elucidating the specific causes of inpatient mortality became a …