Results 151 to 160 of about 224,323 (171)

Assessment of the ability to predict complications of the Risk Factor Scale for Pre-eclampsia Complications and the fullPIERS scale in pregnant women in a Hospital in Lima, Peru. [PDF]

Rev Peru Med Exp Salud Publica
Aquino-Vásquez PN, Chuquipoma-Zanabria LG, Lazo-Porras M, Flores-Noriega M.   +3 more
europepmc   +1 more source

[Detrimental impact of acute coronary syndrome on the independence of the elderly]. [PDF]

Arch Peru Cardiol Cir Cardiovasc
Coello P, Chaves I, Pacheco P, Alverca F, Garmendia CM.   +4 more
europepmc   +1 more source

Feasibility Exploration of High-Resolution MRI Plaque Features for Assessing Outcomes of Intracranial Angioplasty and Stenting in Ischemic Stroke Patients. [PDF]

Rev Neurol
Mao K, Meng X, Chen L, Yu J, Guo H, Hao S, Li H, Li C.   +7 more
europepmc   +1 more source

[Social determinants of therapeutic adherence among users of the primary health care system's cardiovascular health program in ChileDeterminantes sociais da adesão terapêutica entre usuários do programa de saúde cardiovascular na atenção primária à saúde do Chile]. [PDF]

Rev Panam Salud Publica
Herrera Atton D, Olivi A, Reyes Cabrera P, García Ubillo V, Veloz Baeza A, Veintimilla Carrión KS, Sánchez Lagos S.   +6 more
europepmc   +1 more source

Cardiac disease discrimination from 3D-convolutional kinematic patterns on cine-MRI sequences. [PDF]

Biomedica
Moreno Tarazona A, Bautista LX, Martínez F.   +2 more
europepmc   +1 more source

Prediction Modelling and Risk Stratification for Chronic Disease for care coordination on a national scale: A Systematic Review / Predicción y Modelado del riesgo Estratificado para la enfermedades crónicas para atencion coordinada de la atención a escala

International Journal of Integrated Care, 2015
Valerie Twomey
doaj  

Classification of human epidermal growth factor receptor 2 expression in cancerous breast tissue through artificial intelligence [PDF]

Biomedica
Villota LV, Lasso JJ, Muñoz EN, Vargas R.   +3 more
europepmc   +1 more source

Predicting depressive symptoms through social support: a machine learning approach in military populations. [PDF]

Eur J Psychotraumatol
Chen KH, Chiu PL, Chen MH.
europepmc   +1 more source