Image-Based Decision Tools for Vineyard Management

2003 ◽  
Author(s):  
Lee F. Johnson ◽  
Lars Pierce ◽  
Jennifer DeMartino and Shlemon Youkhana ◽  
Ramakrishna Nemani ◽  
Daniel Bosch
Keyword(s):  
Decision Tools ◽  
Vineyard Management

Decision Tools for Antibiotic Prescribing

2006 ◽  
Vol 39 (2) ◽  
pp. 61
Author(s):  
JON O. EBBERT ◽  
ERIC G. TANGALOS
Keyword(s):  
Antibiotic Prescribing ◽  
Decision Tools

Race and Gender

2020 ◽  
pp. 251-269 ◽  
Author(s):  
Timnit Gebru
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
The United States ◽  
Error Rates ◽  
Political Factors ◽  
Recidivism Rates ◽  
Race And Gender ◽  
Decision Tools ◽  
And Gender ◽  
Technical Solutions

This chapter discusses the role of race and gender in artificial intelligence (AI). The rapid permeation of AI into society has not been accompanied by a thorough investigation of the sociopolitical issues that cause certain groups of people to be harmed rather than advantaged by it. For instance, recent studies have shown that commercial automated facial analysis systems have much higher error rates for dark-skinned women, while having minimal errors on light-skinned men. Moreover, a 2016 ProPublica investigation uncovered that machine learning–based tools that assess crime recidivism rates in the United States are biased against African Americans. Other studies show that natural language–processing tools trained on news articles exhibit societal biases. While many technical solutions have been proposed to alleviate bias in machine learning systems, a holistic and multifaceted approach must be taken. This includes standardization bodies determining what types of systems can be used in which scenarios, making sure that automated decision tools are created by people from diverse backgrounds, and understanding the historical and political factors that disadvantage certain groups who are subjected to these tools.

scholarly journals What is common and what is different: recommendations from European scientific societies for triage in the first outbreak of COVID-19

2021 ◽  
pp. medethics-2020-106969
Author(s):  
Joana Teles Sarmento ◽  
Cristina Lírio Pedrosa ◽  
Ana Sofia Carvalho
Keyword(s):  
Public Health ◽  
Healthcare Professionals ◽  
Public Health Emergency ◽  
Fair Allocation ◽  
Ethical Values ◽  
Scientific Societies ◽  
Decision Tools ◽  
Life Saving

A public health emergency, as the COVID-19 pandemic, may lead to shortages of potentially life-saving treatments. In this situation, it is necessary, justifiable and proportionate to have decision tools in place to enable healthcare professionals to triage and prioritise access to those resources. An ethically sound framework should consider the principles of beneficence and fair allocation. Scientific Societies across Europe were concerned with this problem early in the pandemic and published guidelines to support their professionals and institutions. This article aims to compare triage policies from medical bodies across Europe, to characterise the process of triage and the ethical values, principles and theories that were proposed in different countries during the first outbreak of COVID-19.

Using Traffic Disturbance Metrics to Estimate and Predict Freeway Traffic Breakdown and Safety Events

2021 ◽  
pp. 036119812110124
Author(s):  
Leila Azizi ◽  
Mohammed Hadi
Keyword(s):  
Traffic Safety ◽  
Management Strategies ◽  
Connected Vehicles ◽  
Freeway Traffic ◽  
Transportation Management ◽  
Time To Collision ◽  
Decision Tools ◽  
Traffic State ◽  
Traffic Performance ◽  
Traffic Disturbance

The introduction of connected vehicles, connected and automated vehicles, and advanced infrastructure sensors will allow the collection of microscopic metrics that can be used for better estimation and prediction of traffic performance. This study examines the use of disturbance metrics in combination with the macroscopic metrics usually used for the estimation of traffic safety and mobility. The disturbance metrics used are the number of oscillations and a measure of disturbance durations in the time exposed time to collision. The study investigates using the disturbance metrics in data clustering for better off-line categorization of traffic states. In addition, the study uses machine-learning based classifiers for the recognition and prediction of the traffic state and safety in real-time operations. The study also demonstrates that the disturbance metrics investigated are significantly related to crashes. Thus, this study recommends the use of these metrics as part of decision tools that support the activation of transportation management strategies to reduce the probability of traffic breakdown, ease traffic disturbances, and reduce the probability of crashes.

scholarly journals Frailty predicts outcome of partial nephrectomy and guides treatment decision towards active surveillance and tumor ablation

2021 ◽  
Author(s):  
M. T. Walach ◽  
M. F. Wunderle ◽  
N. Haertel ◽  
J. K. Mühlbauer ◽  
K. F. Kowalewski ◽  
...  
Keyword(s):  
Active Surveillance ◽  
Surgical Outcome ◽  
Frailty Index ◽  
Treatment Decision ◽  
Solitary Kidney ◽  
Tumor Ablation ◽  
Renal Masses ◽  
Skeletal Muscle Index ◽  
Decision Tools ◽  
Modified Frailty Index

Abstract Purpose To examine frailty and comorbidity as predictors of outcome of nephron sparing surgery (NSS) and as decision tools for identifying candidates for active surveillance (AS) or tumor ablation (TA). Methods Frailty and comorbidity were assessed using the modified frailty index of the Canadian Study of Health and Aging (11-CSHA) and the age-adjusted Charlson-Comorbidity Index (aaCCI) as well as albumin and the radiological skeletal-muscle-index (SMI) in a cohort of n = 447 patients with localized renal masses. Renal tumor anatomy was classified according to the RENAL nephrometry system. Regression analyses were performed to assess predictors of surgical outcome of patients undergoing NSS as well as to identify possible influencing factors of patients undergoing alternative therapies (AS/TA). Results Overall 409 patient underwent NSS while 38 received AS or TA. Patients undergoing TA/AS were more likely to be frail or comorbid compared to patients undergoing NSS (aaCCI: p < 0.001, 11-CSHA: p < 0.001). Gender and tumor complexity did not vary between patients of different treatment approach. 11-CSHA and aaCCI were identified as independent predictors of major postoperative complications (11-CSHA ≥ 0.27: OR = 3.6, p = 0.001) and hospital re-admission (aaCCI ≥ 6: OR = 4.93, p = 0.003) in the NSS cohort. No impact was found for albumin levels and SMI. An aaCCI > 6 and/or 11-CSHA ≥ 0.27 (OR = 9.19, p < 0.001), a solitary kidney (OR = 5.43, p = 0.005) and hypoalbuminemia (OR = 4.6, p = 0.009), but not tumor complexity, were decisive factors to undergo AS or TA rather than NSS. Conclusion In patients with localized renal masses, frailty and comorbidity indices can be useful to predict surgical outcome and support decision-making towards AS or TA.

scholarly journals A Rational Evaluation of the Syncope Patient: Optimizing the Emergency Department Visit

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 514
Author(s):  
Tarek Hatoum ◽  
Robert S. Sheldon
Keyword(s):  
Emergency Department ◽  
Diagnostic Yield ◽  
Clinical Decision ◽  
Emergency Department Visits ◽  
Decision Tools ◽  
Short And Long Term ◽  
Electrocardiogram Ecg ◽  
Structured Approach

Syncope accounts for up to 2% of emergency department visits and results in the hospitalization of 12–86% of patients. There is often a low diagnostic yield, with up to 50% of hospitalized patients being discharged with no clear diagnosis. We will outline a structured approach to the syncope patient in the emergency department, highlighting the evidence supporting the role of clinical judgement and the initial electrocardiogram (ECG) in making the preliminary diagnosis and in safely identifying the patients at low risk of short- and long-term adverse events or admitting the patient if likely to benefit from urgent intervention. Clinical decision tools and additional testing may aid in further stratifying patients and may guide disposition. While hospital admission does not seem to offer additional mortality benefit, the efficient utilization of outpatient testing may provide similar diagnostic yield, preventing unnecessary hospitalizations.

Incorporating Māori values into land management decision tools

2020 ◽  
Vol 54 (3) ◽  
pp. 431-448 ◽  
Author(s):  
Shannan K. Crow ◽  
Gail T. Tipa ◽  
Kyle D. Nelson ◽  
Amy L. Whitehead
Keyword(s):  
Land Management ◽  
Management Decision ◽  
Decision Tools

Soil organic carbon and microbial communities respond to vineyard management

2015 ◽  
Vol 31 (4) ◽  
pp. 528-533 ◽  
Author(s):  
F. Zehetner ◽  
I. Djukic ◽  
R. Hofmann ◽  
L. Kühnen ◽  
G. Rampazzo-Todorovic ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Microbial Communities ◽  
Vineyard Management
Sign in / Sign up

Export Citation Format

Share Document