Results 171 to 180 of about 134,946 (301)

The role of serum uric acid in survival prediction in patients with acute myocardial infarction accompanied by heart failure with preserved ejection fraction. [PDF]

Front Cardiovasc Med
Kim S, Lee KY, Kim KA, Byeon J, Shin S, Hwang BH, Kim JJ, Choo EH, Kim CJ, Kyoung Sa Y, Park MW, Hyun S, Yoon AH, Ahn Y, Chang K.   +14 more
europepmc   +1 more source

Han Woo Keun, <em>Historia de Corea</em>, traducción de Tae Hyun Yoon, Seúl, Editorial Supeino Munjuawon, 1984, 488 pp.

, 1986
Alfredo Romero Castilla
openalex   +2 more sources

El reboot feminista de Corea del Sur: repensar el carácter “radical” del movimiento a partir de un estudio de caso

, 2023
Janice Tapia Silva
openalex   +2 more sources

Comparison of the Prognostic Performance of Various Machine Learning Models in Patients with Acute Myocardial Infarction: Results from the COREA-AMI Registry. [PDF]

Medicina (Kaunas)
Jung JH, Lee K, Chang K, Ahn Y, Her SH, Lee S.   +5 more
europepmc   +1 more source

The future of stroke care: how telestroke is bridging the gap in stroke care. [PDF]

J Thromb Thrombolysis
D'Anna L, Mangiardi M, Corea F, Gumbinger C, Handschu R, Kaaouana O, Tentolouris-Piperas V, Yperzeele L, Zisimopoulou V.   +8 more
europepmc   +1 more source

México y Corea del Sur: enfoque participativo en el campo de la cooperación internacional para el desarrollo [PDF]

, 2017
Sang-Hee Jung, Sanghee jung
openalex   +1 more source

Analysis of Sequential Pneumococcal Vaccination Coverage in the Elderly Resident Population of the Viterbo Local Health Authority from 2018 to 2023. [PDF]

Vaccines (Basel)
Bongiovanni A, Santolini G, Vairo F, Corea F, Aquilani S, de Waure C.   +5 more
europepmc   +1 more source

Telestroke activity across Europe; The results of a European Stroke Organization survey. [PDF]

Front Stroke, 2023
Ryan DJ, Mueller-Barna P, Von Martial R, Corea F, Zvan B, Zivanovic Z, Barlinn J, Krasinska-Chavez M, Alasheev A.   +8 more
europepmc   +1 more source

Chick Corea: el precio de la comunicación

, 1974
Diego A. Manrique
openalex   +1 more source

An interpretable machine learning tool for predicting perioperative cardiac events in patients scheduled for hip fracture surgery: insights from the multicenter LUSHIP study. [PDF]

J Anesth Analg Crit Care
Azzolina D, Cammarota G, Boero E, Berchialla P, Spadaro S, Longhini F, Deana C, Biasucci DG, D'Incà S, Batticci I, Fasano N, De Robertis E, Simonte R, Maggiore SM, Bellini V, Bignami EG, Vetrugno L, LUSHIP Study Group.   +17 more
europepmc   +1 more source