A streamlined LCA framework to support early decision making in vehicle development

2013 ◽  
Vol 41 ◽  
pp. 105-113 ◽  
Author(s):  
Marika Arena ◽  
Giovanni Azzone ◽  
Antonio Conte
Keyword(s):  
Decision Making ◽  
Vehicle Development ◽  
Streamlined Lca ◽  
Early Decision

P138 Urinary leukotriene E4 (uLTE4) pharmacodynamic biomarker for early decision making in the AZD9898 adaptive phase i study

2018 ◽  
Author(s):  
J Betts ◽  
B Larsson ◽  
A Jauhiainen ◽  
T Hegelund-Myrbäck ◽  
J Leander ◽  
...  
Keyword(s):  
Decision Making ◽  
Phase I ◽  
Phase I Study ◽  
Early Decision

scholarly journals Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Francisco Gude ◽  
Vanessa Riveiro ◽  
Nuria Rodríguez-Núñez ◽  
Jorge Ricoy ◽  
Óscar Lado-Baleato ◽  
...  
Keyword(s):  
Decision Making ◽  
Predictive Model ◽  
Disease Progression ◽  
Clinical Laboratory ◽  
Severe Disease ◽  
Invasive Mechanical Ventilation ◽  
Risk Scores ◽  
Brier Score ◽  
Operating Characteristics ◽  
Early Decision

AbstractThe prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of disease progression to facilitate early decision-making. A retrospective study was performed of patients admitted with COVID-19 pneumonia, classified as severe (admission to the intensive care unit, mechanic invasive ventilation, or death) or non-severe. A predictive model based on clinical, laboratory, and radiological parameters was built. The probability of progression to severe disease was estimated by logistic regression analysis. Calibration and discrimination (receiver operating characteristics curves and AUC) were assessed to determine model performance. During the study period 1152 patients presented with SARS-CoV-2 infection, of whom 229 (19.9%) were admitted for pneumonia. During hospitalization, 51 (22.3%) progressed to severe disease, of whom 26 required ICU care (11.4); 17 (7.4%) underwent invasive mechanical ventilation, and 32 (14%) died of any cause. Five predictors determined within 24 h of admission were identified: Diabetes, Age, Lymphocyte count, SaO2, and pH (DALSH score). The prediction model showed a good clinical performance, including discrimination (AUC 0.87 CI 0.81, 0.92) and calibration (Brier score = 0.11). In total, 0%, 12%, and 50% of patients with severity risk scores ≤ 5%, 6–25%, and > 25% exhibited disease progression, respectively. A risk score based on five factors predicts disease progression and facilitates early decision-making according to prognosis.

scholarly journals An Assessment of RFID Applications in Manufacturing Companies

2015 ◽  
Vol 6 (4) ◽  
pp. 33-42 ◽  
Author(s):  
Bartłomiej Gładysz
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Research Program ◽  
Cyber Physical Systems ◽  
Complex Method ◽  
Manufacturing Companies ◽  
Rfid Technology ◽  
Physical Systems ◽  
Early Decision ◽  
Rfid Applications

Abstract The meaning of Cyber Physical Systems and an Internet of Things with indication of RFID position in those concepts was outlined. Research program related to assessment of RFID technology was presented. Author deducted on problems related to RFID implementations and RFID essentially for logistics of manufacturing companies. Research goals and problems were formulated. Tools, techniques, models and methods that could be utilized were proposed and discussed. Research was focused on design of a new method to support early decision making phases for RFID application in logistics of manufacturing companies. Author stated that literature and practice lacks of complex method to answer if RFID is strategically important for the company, which processes should be RFID-supported, how RFID-supported processes should be designed and if RFID-support is rational. Framework for assessment of RFID technology with illustrative example was discussed.

The Problems in PPP Project Decision Process in China Comparing with Singapore

2013 ◽  
Vol 357-360 ◽  
pp. 2519-2523 ◽  
Author(s):  
Xia Qi ◽  
Chao Yi ◽  
Jie Li
Keyword(s):  
Decision Making ◽  
Decision Process ◽  
Legal Framework ◽  
Regulation System ◽  
Policy System ◽  
Institutional Settings ◽  
Government Supervision ◽  
Early Decision ◽  
Evaluation Mechanism ◽  
Project Decision

PPP project success not only depends on governmental credit and private sectors capability, but also relies on the scientific and reasonable evaluation in early decision-making stage. By thoroughly research on Singapore PPP project decision-making mechanism, deficiencies of current policy system, government supervision and evaluation mechanism in decision process of PPP project in china were summarized. Based on the findings, the proposal to improve legal framework, policy and regulation system, institutional settings, evaluation technique system as well as other aspects of PPP implementation were put forward.

scholarly journals An On-Line Method for Early Decision-Making of Signals in Random Noise

1980 ◽  
Vol 16 (2) ◽  
pp. 216-221
Author(s):  
Yoshifumi SUNAHARA ◽  
Akira OHSUMI ◽  
Yoshinori ADACHI
Keyword(s):  
Decision Making ◽  
Random Noise ◽  
Line Method ◽  
On Line ◽  
Early Decision

Early decision‐making in acute pulmonary embolism: a retrospective clinical audit

2019 ◽  
Vol 49 (4) ◽  
pp. 481-489
Author(s):  
Morgan Hepburn‐Brown ◽  
Louis Irving ◽  
Gary Hammerschlag
Keyword(s):  
Decision Making ◽  
Pulmonary Embolism ◽  
Acute Pulmonary Embolism ◽  
Clinical Audit ◽  
Early Decision

Early Management and Decision Making for the Treatment of Myelomeningocele: A Critique

PEDIATRICS ◽  
1984 ◽  
Vol 73 (4) ◽  
pp. 564-566
Author(s):  
JOHN M. FREEMAN
Keyword(s):  
Decision Making ◽  
Supportive Care ◽  
Ethical Dilemma ◽  
Recent Article ◽  
Early Management ◽  
Early Decision

In a recent article, Gross et al1 have set out to do something about early decision making and the management of children with myelomeningocele. They have set out to evaluate a program that they have developed, claim is workable, and claim addresses the present ethical dilemma surrounding this issue. Have they done something worthwhile? Have they done it well? First, let us look at what they have done. Of 68 babies with myelomeningocele, they have selected 33 babies (48%) for supportive care only. Twenty-six families accepted the team's recommendation and left their child in a special children's shelter. Of these babies, 24 died (mean 37 days). Two babies were treated later at the parents' request.

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