Cargando…
Improvement of Dialysis Dosing Using Big Data Analytics
OBJECTIVES: Large amounts of healthcare data are now generated via patient health records, records of diagnosis and treatment, smart devices, and wearables. Extracting insights from such data can transform healthcare from a traditional, symptom-driven practice into precisely personalized medicine. D...
Autores principales: | Mumtaz, Syeda Leena, Shamayleh, Abdulrahim, Alshraideh, Hussam, Guella, Adnane |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209726/ https://www.ncbi.nlm.nih.gov/pubmed/37190742 http://dx.doi.org/10.4258/hir.2023.29.2.174 |
Ejemplares similares
-
Untargeted Metabolomic Plasma Profiling of Emirati Dialysis Patients with Diabetes versus Non-Diabetic: A Pilot Study
por: Banimfreg, Bayan Hassan, et al.
Publicado: (2022) -
Survey for Computer-Aided Tools and Databases in Metabolomics
por: Banimfreg, Bayan Hassan, et al.
Publicado: (2022) -
Prediction of COVID-19 Hospital Length of Stay and Risk of Death Using Artificial Intelligence-Based Modeling
por: Mahboub, Bassam, et al.
Publicado: (2021) -
The effects and safety of high dose vitamin D3 in hemodialysis patients
por: Guella, Adnane, et al.
Publicado: (2023) -
Improving healthcare outcomes using multimedia big data analytics
por: Razzak, Imran, et al.
Publicado: (2022)