scholarly journals A System for Enhancing Human-level Performance in COVID-19 Antibody Detection

2021 ◽  
Author(s):  
Victor Henrique Alves Ribeiro ◽  
Gabriela Steinhaus ◽  
Evair Borges Severo ◽  
José Raniery Ferreira Junior ◽  
Luiz José Lucas Barbosa ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Sensitivity And Specificity ◽  
Real World ◽  
Antibody Detection ◽  
Decision Making Process ◽  
Remote Laboratory ◽  
The World ◽  
Level Performance

The world currently suffers from the global COVID-19 pandemic. Billions of people have been impacted, and millions of casualties have already occurred. Therefore, it is of extreme importance to identify individuals contaminated by SARS-CoV-2, allowing governments to plan actions to reduce further impacts. In this context, this work employed machine learning to improve the detection of SARS-CoV-2 antibodies in blood exams. Models have been developed in a real-world scenario with 500 thousand exams and were deployed in a remote laboratory for experiments. Results indicate that the models averaged sensitivity and specificity of 95%, and thus, they could aid COVID-19 antibody detection and the decision-making process of biomedical specialists.

scholarly journals Clustering: Finding Patterns in the Darkness

2021 ◽  
pp. 1-28
Author(s):  
Hector Menendez
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Industry 4.0 ◽  
Expert Knowledge ◽  
Large Datasets ◽  
Decision Making Process ◽  
Clustering Problem ◽  
Multiple Strategies ◽  
Data Similarity ◽  
The World

Machine learning is changing the world and fuelling Industry 4.0. These statistical methods focused on identifying patterns in data to provide an intelligent response to specific requests. Although understanding data tends to require expert knowledge to supervise the decision-making process, some techniques need no supervision. These unsupervised techniques can work blindly but they are based on data similarity. One of the most popular areas in this field is clustering. Clustering groups data to guarantee that the clusters’ elements have a strong similarity while the clusters are distinct among them. This field started with the K-means algorithm, one of the most popular algorithms in machine learning with extensive applications. Currently, there are multiple strategies to deal with the clustering problem. This review introduces some of the classical algorithms, focusing significantly on algorithms based on evolutionary computation, and explains some current applications of clustering to large datasets.

scholarly journals Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Algorithms ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Learning Methods ◽  
Machine Learning Methods

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

scholarly journals Use of Linked Data principles for semantic management of scanned documents

2016 ◽  
Vol 28 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Luciane Lena Pessanha Monteiro ◽  
Mark Douglas de Azevedo Jacyntho
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Web Application ◽  
Linked Data ◽  
World Wide ◽  
Decision Making Process ◽  
Whole Process ◽  
The World ◽  
Scanned Documents ◽  
The Web

The study addresses the use of the Semantic Web and Linked Data principles proposed by the World Wide Web Consortium for the development of Web application for semantic management of scanned documents. The main goal is to record scanned documents describing them in a way the machine is able to understand and process them, filtering content and assisting us in searching for such documents when a decision-making process is in course. To this end, machine-understandable metadata, created through the use of reference Linked Data ontologies, are associated to documents, creating a knowledge base. To further enrich the process, (semi)automatic mashup of these metadata with data from the new Web of Linked Data is carried out, considerably increasing the scope of the knowledge base and enabling to extract new data related to the content of stored documents from the Web and combine them, without the user making any effort or perceiving the complexity of the whole process.

scholarly journals Feminist Judging in the 'Real World'

2018 ◽  
Vol 8 (9) ◽  
pp. 1275-1306 ◽  
Author(s):  
Rosemary Hunter
Keyword(s):  
Decision Making ◽  
Empirical Research ◽  
Real World ◽  
Interview Data ◽  
Feminist Perspective ◽  
Decision Making Process ◽  
The Real ◽  
Judicial Practice ◽  
Tools And Techniques

The various feminist judgment projects (FJPs) have explored through the imagined rewriting of judgments a range of ways in which a feminist perspective may be applied to the practice of judging. But how do these imagined judgments compare to what actual feminist judges do? This article presents the results of the author’s empirical research to date on ‘real world’ feminist judging. Drawing on case study and interview data it explores the how, when and where of feminist judging, that is, the feminist resources, tools and techniques judges have drawn upon, the stages in the hearing and decision-making process at which these resources, tools and techniques have been deployed, and the areas of law in which they have been applied. The article goes on to consider observed and potential limits on feminist judicial practice, before drawing conclusions about the comparison between ‘real world’ feminist judging and the practices of FJPs. Los proyectos de sentencias feministas, a través de la reelaboración imaginaria de sentencias judiciales, han explorado multitud de vías en las que las perspectivas feministas se podrían aplicar a la práctica judicial. Pero ¿qué resulta de la comparación entre dichas sentencias y la práctica real de las juezas feministas? Este artículo presenta los resultados de la investigación empírica de la autora. Se analiza el cómo, el cuándo y el dónde de la labor judicial feminista, es decir, los recursos, herramientas y técnicas feministas que las juezas han utilizado, las fases de audiencia y toma de decisión en las que se han utilizado y las áreas del derecho en que se han aplicado. Además, se toman en consideración los límites observados y potenciales de la práctica judicial feminista, y se extraen conclusiones sobre la comparación entre la labor judicial feminista en el “mundo real” y la práctica de los proyectos de tribunales feministas.

Simulation of consumers decision-making process using agent-based model approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950037
Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real Data ◽  
World Market ◽  
Decision Making Process ◽  
Agent Based ◽  
Dynamic Social Network ◽  
Proposed Model ◽  
The World ◽  
Model Approach

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.

Multimedia Instructional Materials in MIS Classrooms

2011 ◽  
pp. 717-723 ◽  
Author(s):  
Randy V. Bradley ◽  
Victor Mbarika ◽  
Chetan S. Sankar ◽  
P. K. Raju
Keyword(s):  
Decision Making ◽  
Information System ◽  
Real World ◽  
Instructional Materials ◽  
Technical Expertise ◽  
Business World ◽  
Computing Machinery ◽  
Rapid Changes ◽  
The World ◽  
Skill Shortages

Researchers and major computing associations such as the Association of Information Systems (AIS) and the Association of Computing Machinery (ACM) have invested much effort in the last two decades to shape the information system (IS) curriculum in a way that addresses developments and rapid changes in the IS industry (Gorgone, Gray, Feinstein, Kasper, Luftman, Stohr et al., 2000; Nunamaker, Couger & Davis, 1982). A major objective has been to help overcome the skill shortages that exist in the IS field, a trend that is expected to continue in the years ahead (Gorgone et al., 2000). While there exist a plethora of students joining IS programs around the world (usually for the remunerative promises that goes with an IS degree), students do not seem to gain the kind of knowledge and technical expertise needed to face real-world challenges when they take on positions in the business world. There is, therefore, the need to prepare IS students for real-world challenges by developing their technical and decision-making skills.

Simulating the Foreign Policy Decision-Making Process in the Undergraduate Classroom

2009 ◽  
Vol 42 (02) ◽  
pp. 401-407 ◽  
Author(s):  
Julie A. Loggins
Keyword(s):  
Decision Making ◽  
Foreign Policy ◽  
Learning Process ◽  
Real World ◽  
Policy Decision ◽  
Decision Making Process ◽  
Multiple Factors ◽  
Political Events ◽  
Policy Decision Making ◽  
Concrete World

A simulation of the foreign policy decision-making process, as described in this article, can assist an instructor in linking students' abstract understanding of complex political events, circumstances, and decision making to the real-world interplay of the multiple factors involved in decision making. It is this type of active learning that helps bring a student's abstract understanding into the concrete world. Instead of being passive learners relying on an instructor's knowledge, students are active participants in the learning process.

scholarly journals Cancer Surgery in the Elderly

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Gopal C. Kowdley ◽  
Nishant Merchant ◽  
James P. Richardson ◽  
Justin Somerville ◽  
Myriam Gorospe ◽  
...  
Keyword(s):  
Decision Making ◽  
Elderly Patients ◽  
The Elderly ◽  
Cancer Surgery ◽  
Decision Making Process ◽  
Benefit Ratio ◽  
Patients With Cancer ◽  
The World ◽  
Surgery In The Elderly ◽  
Surgical Treatments

The proportions both of elderly patients in the world and of elderly patients with cancer are both increasing. In the evaluation of these patients, physiologic age, and not chronologic age, should be carefully considered in the decision-making process prior to both cancer screening and cancer treatment in an effort to avoid ageism. Many tools exist to help the practitioner determine the physiologic age of the patient, which allows for more appropriate and more individualized risk stratification, both in the pre- and postoperative periods as patients are evaluated for surgical treatments and monitored for surgical complications, respectively. During and after operations in the oncogeriatric populations, physiologic changes occuring that accompany aging include impaired stress response, increased senescence, and decreased immunity, all three of which impact the risk/benefit ratio associated with cancer surgery in the elderly.

scholarly journals A Turing test for free will

2012 ◽  
Vol 370 (1971) ◽  
pp. 3597-3610 ◽  
Author(s):  
Seth Lloyd
Keyword(s):  
Decision Making ◽  
Quantum Mechanics ◽  
Free Will ◽  
Decision Maker ◽  
Turing Test ◽  
Decision Making Process ◽  
Theory Of Computation ◽  
Alan Turing ◽  
The World ◽  
Decision Making Processes

Before Alan Turing made his crucial contributions to the theory of computation, he studied the question of whether quantum mechanics could throw light on the nature of free will. This paper investigates the roles of quantum mechanics and computation in free will. Although quantum mechanics implies that events are intrinsically unpredictable, the ‘pure stochasticity’ of quantum mechanics adds randomness only to decision-making processes, not freedom. By contrast, the theory of computation implies that, even when our decisions arise from a completely deterministic decision-making process, the outcomes of that process can be intrinsically unpredictable, even to—especially to—ourselves. I argue that this intrinsic computational unpredictability of the decision-making process is what gives rise to our impression that we possess free will. Finally, I propose a ‘Turing test’ for free will: a decision-maker who passes this test will tend to believe that he, she, or it possesses free will, whether the world is deterministic or not.

scholarly journals Neural Networks in Credit Risk Classification of Companies in the Construction Sector

2018 ◽  
Vol 2 (2) ◽  
pp. 63-77 ◽  
Author(s):  
Aleksandra Wójcicka
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Credit Risk ◽  
Financial Institutions ◽  
Real World ◽  
Decision Making Process ◽  
Construction Sector ◽  
Real World Data ◽  
Input Variables

The financial sector (banks, financial institutions, etc.) is the sector most exposed to financial and credit risk, as one of the basic objectives of banks' activity (as a specific enterprise) is granting credit and loans. Because credit risk is one of the problems constantly faced by banks, identification of potential good and bad customers is an extremely important task. This paper investigates the use of different structures of neural networks to support the preliminary credit risk decision-making process. The results are compared among the models and juxtaposed with real-world data. Moreover, different sets and subsets of entry data are analyzed to find the best input variables (financial ratios).

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