Results 111 to 120 of about 239,604 (162)

Adaptation and Psychometric Validation of the Arabic EuroQol-5D-5L among Sepsis Survivors in Saudi Arabia. [PDF]

J Epidemiol Glob Health
Arafat AA, Yagoub U, Alqussayer SA, Alsomali HH, AlAnazi HH, Abuillah WA, AlBinali MM, Saeed A, Mustafa MG, Alotaibi HF, Alhazzani W.   +10 more
europepmc   +1 more source

Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS. [PDF]

Lipids Health Dis
Xu B, Sun H, Zhang Z, Wu G, Hong W, Zhang F.   +5 more
europepmc   +1 more source

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. [PDF]

World J Clin Cases
Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N.   +4 more
europepmc   +1 more source

Health-related quality of life in poverty-alleviated individuals living with chronic conditions: a cross-sectional survey from an impoverished county in China. [PDF]

Sci Rep
Chang L, Zhang L.
europepmc   +1 more source

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

JMIR Med Inform
Yaseliani M, Hong JW, Bian J, Cavallari L, Duarte JD, Nelson D, Lo-Ciganic WH, Nguyen KA, Hasan MM.   +8 more
europepmc   +1 more source

Developing an explainable machine learning model using body composition to predict cardiovascular mortality in initial dialysis patients: a multicenter study. [PDF]

Front Physiol
Wang XX, Wei JX, Yu TK, Zheng GH, Cao JY, Li M, Wang Y, Hou SM, Xu J, Yang XD, Wang B.   +10 more
europepmc   +1 more source

Evaluation of Factors Associated With Health-Related Quality of Life in Patients With Chronic Diseases in Jeddah, Saudi Arabia: A Cross-Sectional Study. [PDF]

Cureus
Alsaedi RO, Al-Hanawi MK.
europepmc   +1 more source

Trajectory model of tri-ponderal mass index and the risk of hypertension in Chinese children: A longitudinal cohort study. [PDF]

Medicine (Baltimore)
Li C, Zhao L, Cui Y, Xing Y.
europepmc   +1 more source

Fracture behavior of Ti-6Al-4V in the extreme thermo-mechanical environment of fan blade-out. [PDF]

Sci Rep
Tuninetti V, Beecher C, Arcieri EV, Oñate A, García-Herrera C, Baragetti S.   +5 more
europepmc   +1 more source

Relative Entropy-Based Reliability Assessment of Hybrid Telecommunication Skeletal Towers. [PDF]

Entropy (Basel)
Kamiński M, Bredow R.
europepmc   +1 more source