Artificial intelligence in healthcare
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …
digitized data acquisition, machine learning and computing infrastructure, AI applications …
[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework
Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …
management of hospital resources. There is considerable interest in predicting the LoS of …
Clinicalbert: Modeling clinical notes and predicting hospital readmission
K Huang, J Altosaar, R Ranganath - ar** clinically relevant applications for online CBT treatment
Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …
future delivery of healthcare. Despite a surge in research and development, few works have …
Predictive models for hospital readmission risk: A systematic review of methods
Objectives Hospital readmission risk prediction facilitates the identification of patients
potentially at high risk so that resources can be used more efficiently in terms of cost-benefit …
potentially at high risk so that resources can be used more efficiently in terms of cost-benefit …
Artificial intelligence: the milestone in modern biomedical research
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …
complexity of the human genome and proteome has led to the generation of an increasing …
[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …
and envision future advances in this field. Methods: The review is based on a large literature …
Application of Bayesian networks to generate synthetic health data
Objective This study seeks to develop a fully automated method of generating synthetic data
from a real dataset that could be employed by medical organizations to distribute health data …
from a real dataset that could be employed by medical organizations to distribute health data …
Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A sco** review
JM Schwartz, AJ Moy, SC Rossetti… - Journal of the …, 2021 - academic.oup.com
Objective The study sought to describe the prevalence and nature of clinical expert
involvement in the development, evaluation, and implementation of clinical decision support …
involvement in the development, evaluation, and implementation of clinical decision support …