DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
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DeepCare's long short-term memory models illness trajectory and healthcare processes via a time-stamped sequence of events, capturing long-term dependencies.
“The long short-term memory of the system models the illness trajectory and healthcare processes of users via a time-stamped sequence of events and in this way allows capturing long-term dependencies [41].”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [41]
DeepCare can model disease progression, support intervention recommendation, and provide disease prognosis based on EMR databases.
“Using the stored data, the framework of DeepCare can model disease progression, support intervention recommendation, and provide disease prognosis based on EMR databases.”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [41]
DeepCare uses a deep dynamic memory neural network to read and store experiences in memory cells.
“DeepCare is an example of an AI-based platform for end-to-end processing of EMR data. It uses a deep dynamic memory neural network to read and store experiences and in memory cells.”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [41]
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- Authors
- Pham, T., Tran, T., Phung, D., & Venkatesh, S.
- Affiliations
- Deakin University (AU)
- Corresponding author
- Pham, Trang
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 30-41
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2255847468
- Cited by
- 269
- References
- 23
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 21 · 2023: 31 · 2022: 25 · 2021: 30 · 2020: 43 · 2019: 42 · 2018: 38 · 2017: 10 · 2016: 4
- FWCI
- 16.88
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Keywords
- electronic health records, long short-term memory, disease progression modeling, readmission prediction, diabetes mellitus, medical risk prediction
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