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Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems
Key Points Question Is clinician diagnostic performance associated with the use of machine learning–based clinical decision support systems? Findings In this systematic review of 37 studies, no robust evidence was found to suggest an association between ...
B. Vasey +7 more
semanticscholar +1 more source
Decision Support Systems [PDF]
The issues related to successful development and integration of decision support systems (DSS) into emergency management processes are discussed. They provide summaries of data, forecast future developments in the context of present circumstances, take account of uncertainties, help the decision makers explore their own perceptions and values.
French, Simon, Turoff, Murray
+5 more sources
Challenges and opportunities in precision irrigation decision-support systems for center pivots
Irrigation is critical to sustain agricultural productivity in dry or semi-dry environments, and center pivots, due to their versatility and ruggedness, are the most widely used irrigation systems.
Jingwen Zhang +16 more
semanticscholar +1 more source
Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem +4 more
doaj +1 more source
Integration of decision support systems to improve decision support performance [PDF]
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges.
A Kaklauskas +112 more
core +1 more source
The European Green Deal aims to reduce the use of chemical pesticides by half by 2030. Decision support systems are tools to help farmers schedule fungicide spraying based on disease risk and can reduce fungicide application frequency and overall use ...
Elena Lázaro, D. Makowski, A. Vicent
semanticscholar +1 more source
The role of domain expertise in trusting and following explainable AI decision support systems
Although the roots of artificial intelligence (AI) stretch back some years, it currently flourishes in research and practice. However, AI deals with trust issues.
S. Bayer, Henner Gimpel, Moritz Markgraf
semanticscholar +1 more source
Objective To report the improvements achieved with clinical decision support systems and examine the heterogeneity from pooling effects across diverse clinical settings and intervention targets. Design Systematic review and meta-analysis.
J. Kwan +7 more
semanticscholar +1 more source
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task.
Alexandros Menelaos Tzortzis +6 more
doaj +1 more source
Primer on an ethics of AI-based decision support systems in the clinic
Making good decisions in extremely complex and difficult processes and situations has always been both a key task as well as a challenge in the clinic and has led to a large amount of clinical, legal and ethical routines, protocols and reflections in ...
Matthias Braun +3 more
semanticscholar +1 more source

