Leveraging hierarchy in medical codes for predictive modeling-Reference-Cited by-同舟云学术

Leveraging hierarchy in medical codes for predictive modeling

Published:2014-09-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
language:
Short-container-title:

Author:

Singh Anima¹,Nadkarni Girish²,Guttag John¹,Bottinger Erwin²

Affiliation:

1. Massachusetts Institute of Technology, Massachusetts

2. Mount Sinai Hospital, New York, NY

Funder

Quanta Computers Inc.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2649387.2649407

Reference24 articles.

1. Centers for Disease Control and Prevention (CDC). International Classification of Diseases Ninth Revision Clinical Modification (ICD-9-CM). 2013. Centers for Disease Control and Prevention (CDC). International Classification of Diseases Ninth Revision Clinical Modification (ICD-9-CM). 2013.

2. phewas approach in studying hla-drb1*1501;A;Genes and Immunity,2013

3. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations

4. Galectin-3, a Marker of Cardiac Fibrosis, Predicts Incident Heart Failure in the Community

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. “Using network analysis modularity to group health code systems and decrease dimensionality in machine learning models”;Exploratory Research in Clinical and Social Pharmacy;2024-06

2. Performance Evaluation of Ensemble-Based Machine Learning Techniques for Prediction of Chronic Kidney Disease;Emerging Research in Computing, Information, Communication and Applications;2019

3. Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data;PLOS ONE;2018-11-20

4. A System for Automated Determination of Perioperative Patient Acuity;Journal of Medical Systems;2018-05-30

5. Mining Hierarchical Pathology Data Using Inductive Logic Programming;Artificial Intelligence in Medicine;2015