相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Bayesian latent multi-state modeling for nonequidistant longitudinal electronic health records
Yu Luo et al.
BIOMETRICS (2021)
Sepsis-Associated Mortality, Resource Use, and Healthcare Costs: A Propensity-Matched Cohort Study
Kelly Farrah et al.
CRITICAL CARE MEDICINE (2021)
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning
Kristen A. Severson et al.
LANCET DIGITAL HEALTH (2021)
A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression
Jonathan P. Williams et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2020)
New Horizons in the use of routine data for ageing research
Oliver M. Todd et al.
AGE AND AGEING (2020)
Data mining techniques utilizing latent class models to evaluate emergency department revisits
Ofir Ben-Assuli et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2020)
Early warning score validation methodologies and performance metrics: a systematic review
Andrew Hao Sen Fang et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2020)
Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study
Akash Gupta et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2020)
Analysis of conversion of Alzheimer's disease using a multi-state Markov model
Liangliang Zhang et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2019)
Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks
Jinsung Yoon et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan et al.
SCIENTIFIC DATA (2019)
Representation learning for clinical time series prediction tasks in electronic health records
Tong Ruan et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
Spiros Denaxas et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2019)
Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
Harry Hemingway et al.
EUROPEAN HEART JOURNAL (2018)
Benchmarking deep learning models on large healthcare datasets
Sanjay Purushotham et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Early Deterioration Indicator: Data-driven approach to detecting deterioration in general ward
Erina Ghosh et al.
RESUSCITATION (2018)
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che et al.
SCIENTIFIC REPORTS (2018)
Scalable and accurate deep learning with electronic health records
Alvin Rajkomar et al.
NPJ DIGITAL MEDICINE (2018)
Supported Discharge Teams for older people in hospital acute care: a randomised controlled trial
Matthew Parsons et al.
AGE AND AGEING (2018)
Learning from heterogeneous temporal data in electronic health records
Jing Zhao et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2017)
Predicting healthcare trajectories from medical records: A deep learning approach
Trang Pham et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2017)
Interpolation in Time Series: An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment
Mathieu Lepot et al.
WATER (2017)
Transition rates between amyloid and neurodegeneration biomarker states and to dementia: a population-based, longitudinal cohort study
Clifford R. Jack et al.
LANCET NEUROLOGY (2016)
Discovering hospital admission patterns using models learnt from electronic hospital records
Ognjen Arandjelovic
BIOINFORMATICS (2015)
From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system
Eren Gultepe et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2014)
Effectiveness of early discharge planning in acutely ill or injured hospitalized older adults: a systematic review and meta-analysis
Mary T. Fox et al.
BMC GERIATRICS (2013)
Multiple imputation using chained equations: Issues and guidance for practice
Ian R. White et al.
STATISTICS IN MEDICINE (2011)
A global clinical measure of fitness and frailty in elderly people
K Rockwood et al.
CANADIAN MEDICAL ASSOCIATION JOURNAL (2005)
Haematocrit, viscosity, erythrocyte sedimentation rate: meta-analyses of prospective studies of coronary heart disease
J Danesh et al.
EUROPEAN HEART JOURNAL (2000)