[PDF][PDF] Convolutional Neural Network Model for ICU Acute Kidney Injury Prediction

S Le, A Allen, J Calvert… - Kidney International …, 2021 - f.hubspotusercontent30.net
Introduction: Acute kidney injury (AKI) is common among hospitalized patients and has a
significant impact on morbidity and mortality. While early prediction of AKI has the potential …

Deep Learning Algorithms for the Prediction of Renal Failure: A Case Study from Tanzania's Muhimbili National Hospital

T Fihavango, F Igira, N Talawa… - 2023 First International …, 2023 - ieeexplore.ieee.org
Renal failure occurs when kidney function fails, and the nephron is the major engine for
renal function. Patients fail to detect kidney disease in its early stages, leaving them with just …

[HTML][HTML] Course Corrections for Clinical AI

AJ DeGrave, JD Janizek, SI Lee - Kidney360, 2021 - journals.lww.com
The translation of artificial intelligence (AI) from a promising technology to a routine clinical
tool is already well underway, but its benefits to patients and their physicians are not …

Integrating knowledge from Case Report: a medical-ontology based multimodal information system with structured summary

T Bai, L Huang, S Guo, Y Liu, M Wu, G Gu, X Luo - 2022 - researchsquare.com
Abstract Published Case Report literature, as an important medical information carrier,
records invaluable new discoveries of rare diseases, diagnoses and novel therapies as well …

Monitoring the treatments and interventions to intensive care patients: a study for multidimensional evaluation of changes in patient test results with principal …

MA Yimer, S Sevinç, AR Şişman, Ö Aktaş… - Balkan Journal of …, 2021 - dergipark.org.tr
Medical doctors of today are challenged with increasingly large volumes of high-
dimensional, heterogeneous and unstructured data from various sources that pose …

Development of predictive models for critically ill patients with acute kidney injury

F Nateghi Haredasht - 2023 - lirias.kuleuven.be
Predictive models are widely used in intensive care units (ICU), due to the widespread
implementation of electronic systems to collect patient data: demographic information …

Commentary: Welcome to the machine

AA Khan, KR Khabbaz - The Journal of Thoracic and Cardiovascular …, 2023 - jtcvs.org
The perioperative period following cardiac surgery requires diligent monitoring for the
prevention of postoperative complications in vital organs. Nonpulsatile flow to the kidneys …

Identifying Appropriate Feature Selection Techniques for Renal Disease Classification Models

K AL - 2023 First International Conference on Advances in …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) or renal illness is the slow decline in the effective function of
the kidney over many years. Heart and blood vascular disorders are both risk factors for …

LightGBM model for predicting acute kidney injury risk in ICU patients

Y ZHANG, C FENG, K LI… - … Journal of Chinese …, 2019 - xuebao.301hospital.com.cn
Objective To develop a predictive model for acute kidney injury (AKI) in critically ill patients
based on LightGBM and provide support for clinical decision. Methods An open source …

[PDF][PDF] Ferramentas Digitais na Prevenção da Lesão Renal Aguda

DAD da Silva - 2022 - repositorio-aberto.up.pt
A lesão renal aguda (LRA) é uma patologia comum em contexto hospitalar, com uma
elevada morbimortalidade, estando associada a um aumento da duração e custo dos …