Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …
[HTML][HTML] Applications of the natural language processing tool ChatGPT in clinical practice: comparative study and augmented systematic review
N Schopow, G Osterhoff, D Baur - JMIR Medical Informatics, 2023 - medinform.jmir.org
Background This research integrates a comparative analysis of the performance of human
researchers and OpenAI's ChatGPT in systematic review tasks and describes an …
researchers and OpenAI's ChatGPT in systematic review tasks and describes an …
Machine learning-based early prediction of sepsis using electronic health records: a systematic review
Background: Sepsis, a life-threatening infection-induced inflammatory condition, has
significant global health impacts. Timely detection is crucial for improving patient outcomes …
significant global health impacts. Timely detection is crucial for improving patient outcomes …
Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care
With the wider availability of healthcare data such as Electronic Health Records (EHR), more
and more data-driven based approaches have been proposed to improve the quality-of-care …
and more data-driven based approaches have been proposed to improve the quality-of-care …
Bending the patient safety curve: how much can AI help?
This paper reviews the current state of patient safety and the application of artificial
intelligence (AI) techniques to patient safety. This paper defines patient safety broadly, not …
intelligence (AI) techniques to patient safety. This paper defines patient safety broadly, not …
Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification
Sepsis is a severe and potentially life-threatening condition that occurs when the body's
immune response becomes excessively intense in reaction to an infection. If not promptly …
immune response becomes excessively intense in reaction to an infection. If not promptly …
Systematic reviews of machine learning in healthcare: a literature review
K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
Screening tools for sepsis identification in paramedicine and other emergency contexts: a rapid systematic review
M De Silva, W Chadwick, N Naidoo - Scandinavian Journal of Trauma …, 2023 - Springer
Background Sepsis is a life-threatening condition that contributes significantly to protracted
hospitalisations globally. The unique positioning of paramedics and other emergency care …
hospitalisations globally. The unique positioning of paramedics and other emergency care …
Enhancing readmission prediction models by integrating insights from home healthcare notes: Retrospective cohort study
Background Hospital readmission is an important indicator of inpatient care quality and a
significant driver of increasing medical costs. Therefore, it is important to explore the effects …
significant driver of increasing medical costs. Therefore, it is important to explore the effects …
[HTML][HTML] A customised down-sampling machine learning approach for sepsis prediction
Objective Sepsis is a life-threatening condition in the ICU and requires treatment in time.
Despite the accuracy of existing sepsis prediction models, insufficient focus on reducing …
Despite the accuracy of existing sepsis prediction models, insufficient focus on reducing …