Deep Risk Prediction and Embedding of Patient Data: Application to Acute Gastrointestinal Bleeding
DL Shung - 2022 - search.proquest.com
Acute gastrointestinal bleeding is a common and costly condition, accounting for over 2.2
million hospital days and 19.2 billion dollars of medical charges annually. Risk stratification …
million hospital days and 19.2 billion dollars of medical charges annually. Risk stratification …
Advancing care for acute gastrointestinal bleeding using artificial intelligence
DL Shung - Journal of Gastroenterology and Hepatology, 2021 - Wiley Online Library
The future of gastrointestinal bleeding will include the integration of machine learning
algorithms to enhance clinician risk assessment and decision making. Machine learning …
algorithms to enhance clinician risk assessment and decision making. Machine learning …
Machine learning to predict outcomes in patients with acute gastrointestinal bleeding: a systematic review
Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but
current risk assessment tools have variable performance. Machine learning (ML) has …
current risk assessment tools have variable performance. Machine learning (ML) has …
Machine learning prognostic models for gastrointestinal bleeding using electronic health record data
D Shung, L Laine - Official journal of the American College of …, 2020 - journals.lww.com
Risk assessment tools for patients with gastrointestinal bleeding may be used for
determining level of care and informing management decisions. Development of models that …
determining level of care and informing management decisions. Development of models that …
Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis
METHODS: We compare triage strategies (Glasgow-Blatchford score= 0/0–1 or validated
machine learning model) with usual care using a Markov chain model from a US health care …
machine learning model) with usual care using a Markov chain model from a US health care …
Validation of a machine learning model that outperforms clinical risk scoring systems for upper gastrointestinal bleeding
Background & Aims Scoring systems are suboptimal for determining risk in patients with
upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning …
upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning …
A Review of Risk Scores within Upper Gastrointestinal Bleeding
J Orpen-Palmer, AJ Stanley - Journal of clinical medicine, 2023 - mdpi.com
Upper gastrointestinal bleeding is a common medical emergency. Thorough initial
assessment and appropriate resuscitation are essential to stabilise the patient. Risk scores …
assessment and appropriate resuscitation are essential to stabilise the patient. Risk scores …
Risk Stratification of Acute Upper Gastrointestinal Bleeding Patients by Transferring Knowledge Learnt from a Critical Care Database
R Yu - 2019 - search.proquest.com
Acute upper gastrointestinal bleeding (AUGIB) is a common medical emergency. Risk
stratification of AUGIB patients can direct patients into the appropriate level of care without …
stratification of AUGIB patients can direct patients into the appropriate level of care without …
Improving acute GI bleeding management through artificial intelligence: unnatural selection?
N Sengupta, DA Leiman - Digestive Diseases and Sciences, 2019 - Springer
Gastrointestinal bleeding (GIB) is the leading digestive disorder responsible for
hospitalizations in the USA [1], a statistic not expected to change in the near future given the …
hospitalizations in the USA [1], a statistic not expected to change in the near future given the …