Results 281 to 290 of about 990,536 (371)

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

Longitudinal changes in peritoneal solute transport rate and the impact of lower glucose degradation product glucose dialysates

open access: yesTherapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 471-478, June 2025.
Abstract Introduction Peritoneal solute transfer rates (PSTR) are reported to increase with time. Changes in PSTR were reviewed in long‐term peritoneal dialysis (PD) patients to determine whether lower glucose degradation products (low GDP) dialysates prevented an increase in PSTR. Methods PSTR was determined with a 4‐h peritoneal equilibrium test with
Andrew Davenport
wiley   +1 more source

New Biomarkers in the Prognostic Assessment of Acute Heart Failure with Reduced Ejection Fraction: Beyond Natriuretic Peptides. [PDF]

open access: yesInt J Mol Sci
Cortés M   +13 more
europepmc   +1 more source

Prognostic value of fetal growth and prenatal functional echocardiography in tetralogy of FALLOT

open access: yesActa Obstetricia et Gynecologica Scandinavica, EarlyView.
First demonstration that fetal growth and pulmonary peak velocity at third trimester are independent predictors of postnatal outcome in Tetralogy of Fallot. This may enhance the accuracy of prenatal counseling and facilitate more individualized planning for delivery and neonatal care. Abstract Introduction Tetralogy of Fallot (ToF) shows variability in
Laura Nogué   +17 more
wiley   +1 more source

Recommendations for the use of natriuretic peptides in acute cardiac care: a position statement from the Study Group on Biomarkers in Cardiology of the ESC Working Group on Acute Cardiac Care.

open access: yesEuropean Heart Journal, 2012
K. Thygesen   +18 more
semanticscholar   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

Effects of Intraaortic Balloon Pump Treatment On Atrial Natriuretic Peptide Levels

open access: bronze, 1995
Bahar Boydak   +4 more
openalex   +2 more sources

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