Výsledky vyhľadávania - "Nateghi Haredasht F"

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs.

Autori: Nateghi Haredasht, Fateme Amrollahi, Fatemeh Maddali, Manoj V. a ďalší

Zdroj: Scientific Data; 7/26/2025, Vol. 12 Issue 1, p1-8, 8p

Predmety: DRUG resistance in bacteria, ANTIMICROBIAL stewardship, CLINICAL decision making, DRUG resistance in microorganisms, SENSITIVITY analysis, BIG data, ELECTRONIC health records, DATA privacy

An overview of circulating and urinary biomarkers capable of predicting the transition of acute kidney injury to chronic kidney disease.

Autori: Berezin, Alexander E. Berezina, Tetiana A. Hoppe, Uta C. a ďalší

Zdroj: Expert Review of Molecular Diagnostics; Jul2024, Vol. 24 Issue 7, p627-647, 21p

Artificial intelligence and pediatric acute kidney injury: a mini-review and white paper.

Autori: Hu, Jieji Raina, Rupesh

Zdroj: Frontiers in Nephrology; 2025, p1-7, 7p

Unexpectedly high rate of unrecognized acute kidney injury and its trend over the past 14 years.

Autori: Han, Lina Li, Hongxiao Luo, Lingfan a ďalší

Zdroj: Scientific Reports; 2/21/2025, Vol. 15 Issue 1, p1-10, 10p

Clinical entity augmented retrieval for clinical information extraction.

Autori: Lopez, Ivan Swaminathan, Akshay Vedula, Karthik a ďalší

Zdroj: NPJ Digital Medicine; 1/19/2025, Vol. 8 Issue 1, p1-11, 11p

Predmety: CLINICAL medicine, MEDICAL information storage & retrieval systems, RESEARCH funding, NATURAL language processing, INFORMATION retrieval, ELECTRONIC health records, MEDICAL records, COMPARATIVE studies, AUGMENTED reality

Predictive effect of estimated glomerular filtrate rate by creatinine or cystatin C on mortality in patients with coronary artery disease.

Autori: Chen, Shiqun Zhou, Yang Liang, Guoxiao a ďalší

Zdroj: Renal Failure; Dec2024, Vol. 46 Issue 2, p1-8, 8p

Predmety: CYSTATIN C, CORONARY artery disease, CREATININE, MORTALITY

Exploring trajectories of acute kidney injury in the intensive care unit: a population-based cohort study.

Autori: Wan, Ding-yuan Luo, Xin-yao He, Min a ďalší

Zdroj: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-11, 11p

Predmety: ACUTE kidney failure, INTENSIVE care units, THROMBOTIC microangiopathies, TREND analysis, TREATMENT effectiveness, PHENOTYPES, COHORT analysis, MORTALITY risk factors

Research progress on the application of machine learning clinical decision support system in ICU. (English)

Autori: YAN Huina LIU Ruiyun LI Ying a ďalší

Zdroj: Chinese Nursing Research; Apr2025, Vol. 39 Issue 7, p1199-1205, 7p

Machine learning approaches for predicting and diagnosing chronic kidney disease: current trends, challenges, solutions, and future directions.

Autori: Gogoi, Prokash Valan, J. Arul

Zdroj: International Urology & Nephrology; Apr2025, Vol. 57 Issue 4, p1245-1268, 24p

Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning.

Autori: Wang, Tsai-Jung Huang, Chun-Te Wu, Chieh-Liang a ďalší

Zdroj: Scientific Reports; 6/7/2024, Vol. 14 Issue 1, p1-12, 12p

Predmety: HEMODIALYSIS facilities, MACHINE learning, HEMODIALYSIS patients, RECEIVER operating characteristic curves, ACUTE kidney failure, INTENSIVE care units

Geografický termín: TAIWAN

Interpretable machine learning for predicting chronic kidney disease progression risk.

Autori: Zheng, Jin-Xin Li, Xin Zhu, Jiang a ďalší

Zdroj: Digital Health; 1/15/2024, p1-16, 16p

Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram.

Autori: Yang, Rui Su, Xiaozhe Liu, Ziqi a ďalší

Zdroj: European Journal of Medical Research; 2/3/2025, Vol. 30 Issue 1, p1-13, 13p

Predmety: ACUTE kidney failure, INTENSIVE care patients, PROPENSITY score matching, INTENSIVE care units, GLOMERULAR filtration rate

The Good, the Bad, and the Serum Creatinine: Exploring the Effect of Muscle Mass and Nutrition.

Autori: De Rosa, Silvia Greco, Massimiliano Rauseo, Michela a ďalší

Zdroj: Blood Purification; 2023, Vol. 52 Issue 9/10, p775-785, 11p

Predmety: MUSCLE mass, NUTRITIONAL assessment, KIDNEY physiology, NUTRITION, CREATININE

New approaches to acute kidney injury.

Autori: Noel, Sanjeev Kapoor, Radhika Rabb, Hamid

Zdroj: Clinical Kidney Journal; 2024 Supplement, Vol. 17, pii65-ii81, 17p

Predmety: ACUTE kidney failure, ARTIFICIAL intelligence, NANOMEDICINE, PATIENT care, BIOMARKERS

Exploring the role of Artificial Intelligence in Acute Kidney Injury management: a comprehensive review and future research agenda.

Autori: Al-Absi, Dima Tareq Simsekler, Mecit Can Emre Omar, Mohammed Atif a ďalší

Zdroj: BMC Medical Informatics & Decision Making; 11/14/2024, Vol. 24 Issue 1, p1-20, 20p

Predmety: RESOURCE-limited settings, ACUTE kidney failure, ARTIFICIAL intelligence, MACHINE learning, INTENSIVE care units

Validated risk prediction models for outcomes of acute kidney injury: a systematic review.

Autori: Haredasht, Fateme Nateghi Vanhoutte, Laban Vens, Celine a ďalší

Zdroj: BMC Nephrology; 5/9/2023, Vol. 24 Issue 1, p1-15, 15p

Predmety: ACUTE kidney failure, MACHINE learning, PREDICTION models, CHRONIC kidney failure, KIDNEY failure

Comprehensive Toxicology

Typ zdroja: eBook.

Kategórie: MEDICAL / Toxicology, MEDICAL / Pharmacology

Mastering Problem-Based Learning in Health Profession Programs

Autori: Santiago Lorenzo Bei Zhang

Typ zdroja: eBook.

Kategórie: MEDICAL / Education & Training