Predictability Bounds of Electronic Health Records

Predictability Bounds of Electronic Health Records

The ability to intervene in disease progression given a person’s disease history has the potential to solve one of society’s most pressing issues: advancing health care delivery and reducing its cost. Controlling disease progression is inherently associated with the ability to predict possible futur...

Full description

Bibliographic Details
Main Authors:	Dahlem, Dominik, Maniloff, Diego, Ratti, Carlo
Other Authors:	Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format:	Article
Language:	en_US
Published:	Nature Publishing Group 2015
Online Access:	http://hdl.handle.net/1721.1/97694 https://orcid.org/0000-0003-2026-5631

Similar Items

Inferring Asymmetry of Inhabitant Flow using Call Detail Records
by: Phithakkitunkoon, Santi, et al.
Published: (2016)

Electronic health records /
by: Hamilton, Byron, 1958-
Published: (c201)

Electronic health records /
by: 459399 Hamilton, Byron
Published: (2009)

Subnetwork constraints for tighter upper bounds and exact solution of the clique partitioning problem
by: Belyi, Alexander, et al.
Published: (2023)

Deep learning for electronic health records: risk prediction, explainability, and uncertainty
by: Li, Y
Published: (2022)

Essentials of electronic health records /
by: 310652 Gartee, Richard
Published: (c201)

Using implementation science to develop and deploy an oncology electronic health record
by: Carla Taramasco, et al.
Published: (2025-01-01)

Electronic health records : understanding and using computerized medical records /
by: 310652 Gartee, Richard
Published: (2006)

Attention-based neural networks for clinical prediction modelling on electronic health records
by: Fridgeirsson, Egill A., et al.
Published: (2023)

Machine Learning for Sepsis Prognosis: Prediction Models and Dissecting Electronic Health Records
by: Liao, Wei
Published: (2024)

Predicting the risk of inpatient hypoglycemia with machine learning using electronic health records
by: Ruan, Y, et al.
Published: (2020)

Predicting childhood obesity using electronic health records and publicly available data.
by: Robert Hammond, et al.
Published: (2019-01-01)

An intelligent learning system based on electronic health records for unbiased stroke prediction
by: Muhammad Asim Saleem, et al.
Published: (2024-10-01)

Predicting food insecurity in a pediatric population using the electronic health record
by: Joseph Rigdon, et al.
Published: (2024-01-01)

Attention-based neural networks for clinical prediction modelling on electronic health records
by: Egill A. Fridgeirsson, et al.
Published: (2023-12-01)

Using electronic health record metadata to predict housing instability amongst veterans
by: Rafael Zamora-Resendiz, et al.
Published: (2024-01-01)

BEHRT: transformer for electronic health records
by: Li, Y, et al.
Published: (2020)

The executive's guide to electronic health records /
by: Smaltz, Detlev H. (Detlev Herb), et al.
Published: (2007)

Electronic Health Records in Behavioral Research
by: John Loft, et al.
Published: (2018-10-01)

Transportation mode inference from anonymized and aggregated mobile phone call detail records
by: Wang, Huayong, et al.
Published: (2016)

Analyzing the Data Completeness of Patients’ Records Using a Random Variable Approach to Predict the Incompleteness of Electronic Health Records
by: Varadraj P. Gurupur, et al.
Published: (2022-10-01)

Unlocking the Potential of Electronic Health Records for Health Research
by: Seungwon Lee, et al.
Published: (2020-01-01)

Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records
by: Mantena, Sreekar, et al.
Published: (2022)

Benchmarking emergency department prediction models with machine learning and public electronic health records
by: Xie, Feng, et al.
Published: (2023)

Synthesizing electronic health records for predictive models in low-middle-income countries (LMICs)
by: Ghosheh, GO, et al.
Published: (2023)

Predicting patient engagement in IAPT services: a statistical analysis of electronic health records
by: David Betts, et al.
Published: (2020-02-01)

Application of machine learning in diabetes prediction based on electronic health record data analysis
by: Yang Zihan
Published: (2025-01-01)

Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population
by: Véronique L Roger, et al.
Published: (2021-06-01)

Using the Electronic Health Record to Develop a Gastric Cancer Risk Prediction Model
by: Michelle Kang Kim, et al.
Published: (2024-01-01)

Affordable and real-time antimicrobial resistance prediction from multimodal electronic health records
by: Shahad Hardan, et al.
Published: (2024-07-01)

Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
by: Zahra Zad, et al.
Published: (2024-01-01)

Prediction of Sjögren’s disease diagnosis using matched electronic dental-health record data
by: Jason Mao, et al.
Published: (2024-02-01)

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records
by: Zhenxing Xu, et al.
Published: (2023-12-01)

AI-assisted prediction of differential response to antidepressant classes using electronic health records
by: Yi-han Sheu, et al.
Published: (2023-04-01)

Sharing electronic health records: the patient view.
by: Powell, J, et al.
Published: (2006)

Blockchain-based electronic health record system
by: Saleh Habtor, Saleh Abdulaziz
Published: (2019)

Privacy preserving for electronic health record systems
by: Yussuf, Zakariye Mohamed
Published: (2019)

On the evaluation of synthetic longitudinal electronic health records
by: Jim L. Achterberg, et al.
Published: (2024-08-01)

Customizing the electronic health record for delivery of pharmacogenetics
by: Glenda Hoffecker, et al.
Published: (2023-01-01)

Electronic Health Records for Population Health Management: Comparison of Electronic Health Record–Derived Hypertension Prevalence Measures Against Established Survey Data
by: Katie S Allen, et al.
Published: (2024-03-01)