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1.
Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review.
BMC Emerg Med
; 24(1): 20, 2024 Jan 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-38287243
2.
Machine learning models for predicting unscheduled return visits of patients with abdominal pain at emergency department and validation during COVID-19 pandemic: A retrospective cohort study.
Medicine (Baltimore)
; 103(8): e37220, 2024 Feb 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-38394532
3.
Comparative Study of Li-CO2 and Na-CO2 Batteries with Ru@CNT as a Cathode Catalyst.
ACS Appl Mater Interfaces
; 13(1): 480-490, 2021 Jan 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-33375777
4.
In Situ Co-O Bond Reinforcement of the Artificial Cathode Electrolyte Interphase in Highly Delithiated LiCoO2 for High-Energy-Density Applications.
ACS Appl Mater Interfaces
; 13(39): 46703-46716, 2021 Oct 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34549937
5.
A Machine Learning Model for Predicting Unscheduled 72 h Return Visits to the Emergency Department by Patients with Abdominal Pain.
Diagnostics (Basel)
; 12(1)2021 Dec 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35054249
6.
Effective Ru/CNT Cathode for Rechargeable Solid-State Li-CO2 Batteries.
ACS Appl Mater Interfaces
; 13(37): 44266-44273, 2021 Sep 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-34494812
7.
Controlling Ni2+ from the Surface to the Bulk by a New Cathode Electrolyte Interphase Formation on a Ni-Rich Layered Cathode in High-Safe and High-Energy-Density Lithium-Ion Batteries.
ACS Appl Mater Interfaces
; 13(6): 7355-7369, 2021 Feb 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-33534550
8.
Interface Interaction Behavior of Self-Terminated Oligomer Electrode Additives for a Ni-Rich Layer Cathode in Lithium-Ion Batteries: Voltage and Temperature Effects.
ACS Appl Mater Interfaces
; 11(43): 39827-39840, 2019 Oct 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-31597424
9.
Hypercalcemia and elevated lipase after cement accelerator ingestion.
Clin Toxicol (Phila)
; 60(9): 1075-1076, 2022 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35833473
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