Results 31 to 40 of about 8,261,594 (295)
Support Vector Machine-based Soft Sensors in the Isomerisation Process [PDF]
Chemical and Biochemical Engineering Quarterly, 2021 This paper presents the development of soft sensor empirical models using support vector machine (SVM) for the continual assessment of 2,3-dimethylbutane and 2-methylpentane mole percentage as important product quality indicators in the refinery ...
S. Herceg +2 more
doaj +1 more source
World Journal of Clinical Cases, 2022 BACKGROUND Craniocerebral injuries encompass brain injuries, skull fractures, cranial soft tissue injuries, and similar injuries. Recently, the incidence of craniocerebral injuries has increased dramatically due to the increased numbers of traffic ...
Xiaobo Shao +3 more
semanticscholar +1 more source
Risk factors for post-hepatectomy liver failure in 80 patients
World Journal of Clinical Cases, 2021 BACKGROUND Post-hepatectomy liver failure (PHLF) is a serious complication and a leading cause of death after hepatectomy, an accurate prediction of PHLF is important for improvement of prognosis after hepatectomy. AIM To retrospectively analyze the risk
Ying Xing +4 more
semanticscholar +1 more source
Risk Factors for Failure of Cheilectomy for Hallux Rigidus
Foot & Ankle Orthopaedics, 2017 Category: Midfoot/Forefoot Introduction/Purpose: Hallux rigidus occurs in 2.5% of the population over 50 years of age and is commonly treated with cheilectomy or arthrodesis. While long-term outcomes following cheilectomy for hallux rigidus are promising,
Austin Sanders BA +3 more
doaj +1 more source
Medicina, 2023 Background and Objectives: Pulmonary hypertension (PH) secondary to left-sided valvular heart disease is associated with poor cardiac surgical outcome compared with patients without PH.
Ee Phui Kew +4 more
doaj +1 more source
Increasing the Prediction Power of Moodle Machine Learning Models with Self-defined Indicators
International Journal of Emerging Technologies in Learning (iJET), 2021 Starting with version 3.4 of Moodle, it has been possible to build educational ML models using predefined indicators in the Analytics API. These models can be used primarily to identify students at risk of failure.
Tibor Fauszt +2 more
semanticscholar +1 more source
Sluggish decline in a post-transplant model for end-stage liver disease score is a predictor of mortality in living donor liver transplantation [PDF]
Korean Journal of Anesthesiology, 2010 BackgroundThe pre-transplant model for end-stage liver disease (pre-MELD) score is controversial regarding its ability to predict patient mortality after liver transplantation (LT). Prominent changes in physical conditions through the surgery may require
Won Jung Hwang +5 more
doaj +1 more source
Alterations of Cytokine Profiles in Patients With Recurrent Implantation Failure
Frontiers in Endocrinology, 2022 Serum cytokine profile and T helper (Th)1/Th2 cell balance are related to the success of embryo implantation, although not yet firmly linked to recurrent implantation failure (RIF), a repeated failure to achieve clinical pregnancy following multiple high-
Ling Guo +15 more
doaj +1 more source
Screening for regenerative therapy responders in heart failure
Biomarkers in Medicine, 2021 Risk of outcome variability challenges therapeutic innovation. Selection of the most suitable candidates is predicated on reliable response indicators.
Satsuki Yamada +4 more
semanticscholar +1 more source
, 2023 Acute heart failure is a major cause of urgent hospitalizations. These are followed by marked increases in death and rehospitalization rates, which then decline exponentially though they remain higher than in patients without a recent hospitalization ...
Anker, SD +20 more
core +1 more source