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 …

Data Analytics in Acute Kidney Injury Prediction: Opportunities and Challenges

F Alshamsi, MK Catacutan… - 2022 Advances in …, 2022 - ieeexplore.ieee.org
Acute Kidney Injury (AKI) is a common medical condition with a high mortality rate. The
incidence of AKI is exceptionally high in hospitalized patients, particularly those suffering …

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 …

Sustainable Computing—An Overview

P Chaudhary, A Sinha, S Jain - … Computational Techniques for …, 2022 - taylorfrancis.com
This chapter elaborates on the concept of sustainable computing and its inception by tracing
its roots back to the generic utility of sustainability. It refers to reconciliation of the sharply …

Leveling Up: A Review of Machine Learning Models in the Cardiac ICU

Z Khalpey, P Wilson, Y Suri, H Culbert… - The American Journal of …, 2023 - Elsevier
Abstract Machine learning has emerged as a significant tool to augment the medical
decision-making process. Studies have steadily accrued detailing algorithms and models …

[图书][B] Machine Learning Analytics for Data-Driven Decision Support in Healthcare

AT Ward - 2020 - search.proquest.com
Abstract Machine learning has the potential to revolutionize the field of healthcare. With the
increasing availability of electronic healthcare data, machine learning algorithms and …

Prognostic and diagnostic methods for risk of acute kidney injury

RF Rhyne, CA Magaret, G Barnes… - US Patent App. 17 …, 2022 - Google Patents
Compositions and methods are provided for diagnosis and/or prognosis of acute kidney
injury risk following medical procedures in a subject. In some embodiments, the method …

[引用][C] Aus der Klinik für kardiovaskuläre Chirurgie der Medizinischen Fakultät Charité–Universitätsmedizin Berlin

N nach kardiochirurgischen Eingriffen, N Rank

ANALISA DATA REKAM MEDIS MENGGUNAKAN TEKNIK DATA MINING ASSOCIATION RULES DENGAN ALGORITMA CLUSTERING

M IQBAL - 2022 - repository.mercubuana.ac.id
Patient information data located in medical centers and hospitals are in the form of ICD
codes. Medical Record data is not just a pile of files, but can be used to extract the …

[PDF][PDF] A Clinical, Proteomics, and Artificial Intelligence-Driven Model to Predict Acute Kidney Injury in Patients Undergoing Coronary Angiography

CPMCMBBC BAOa, HK Gaggin - ratio - academia.edu
Background: Standard measures of kidney function are only modestly useful for accurate
prediction of risk for acute kidney injury (AKI). Hypothesis: Clinical and biomarker data can …