[HTML][HTML] Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
S Le, E Pellegrini, A Green-Saxena, C Summers… - Journal of Critical …, 2020 - Elsevier
Purpose Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with
high mortality and associated morbidity. The objective of this study is to develop and …
high mortality and associated morbidity. The objective of this study is to develop and …
[HTML][HTML] Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world …
H Burdick, E Pino, D Gabel-Comeau… - BMJ health & care …, 2020 - ncbi.nlm.nih.gov
Background Severe sepsis and septic shock are among the leading causes of death in the
USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis …
USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis …
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: a descriptive modeling study
M Simonov, U Ugwuowo, E Moreira, Y Yamamoto… - PLoS …, 2019 - journals.plos.org
Background Acute kidney injury (AKI) is an adverse event that carries significant morbidity.
Given that interventions after AKI occurrence have poor performance, there is substantial …
Given that interventions after AKI occurrence have poor performance, there is substantial …
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Background The number of studies applying machine learning (ML) to predict acute kidney
injury (AKI) has grown steadily over the past decade. We assess and critically appraise the …
injury (AKI) has grown steadily over the past decade. We assess and critically appraise the …
[HTML][HTML] Role of artificial intelligence in kidney disease
Q Yuan, H Zhang, T Deng, S Tang, X Yuan… - … Journal of Medical …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI), as an advanced science technology, has been widely used in
medical fields to promote medical development, mainly applied to early detections, disease …
medical fields to promote medical development, mainly applied to early detections, disease …
Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
E D'Hondt, TJ Ashby, I Chakroun, T Koninckx… - Communications …, 2022 - nature.com
Background Despite apparent promise and the availability of numerous examples in the
literature, machine learning models are rarely used in practice in ICU units. This mismatch …
literature, machine learning models are rarely used in practice in ICU units. This mismatch …
Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at
an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's …
an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's …
Machine learning for acute kidney injury: Changing the traditional disease prediction mode
X Yu, Y Ji, M Huang, Z Feng - Frontiers in Medicine, 2023 - frontiersin.org
Acute kidney injury (AKI) is a serious clinical comorbidity with clear short-term and long-term
prognostic implications for inpatients. The diversity of risk factors for AKI has been …
prognostic implications for inpatients. The diversity of risk factors for AKI has been …
A web‐based machine‐learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty
Purpose Acute kidney injury (AKI) is a deleterious complication after total knee arthroplasty
(TKA). The purposes of this study were to identify preoperative risk factors and develop a …
(TKA). The purposes of this study were to identify preoperative risk factors and develop a …
The risk and clinical implications of antibiotic-associated acute kidney injury: a review of the clinical data for agents with signals from the food and drug administration's …
Antibiotic-associated acute kidney injury (AA-AKI) is quite common, especially among
hospitalized patients; however, little is known about risk factors or mechanisms of why AA …
hospitalized patients; however, little is known about risk factors or mechanisms of why AA …