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Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
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Ghada El-khawaga, Mervat Abu-Elkheir and Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining use cases as a value-adding task. PPM provides useful predictions on the future of the running business processes with respect to different perspectives, such as the upcoming act...
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Suhwan Lee, Marco Comuzzi and Nahyun Kwon
The development of models for process outcome prediction using event logs has evolved in the literature with a clear focus on performance improvement. In this paper, we take a different perspective, focusing on obtaining interpretable predictive models f...
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José Miguel Rodrigues
The timely and precise prediction of flooding progression and its eventual outcome in ships with breached hulls can lead to dramatic improvements in maritime safety through improved guidance for both emergency response and ship design. The traditional ap...
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Deepika Verma, Kerstin Bach and Paul Jarle Mork
The field of patient-centred healthcare has, during recent years, adopted machine learning and data science techniques to support clinical decision making and improve patient outcomes. We conduct a literature review with the aim of summarising the existi...
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Alireza Rezazadeh
Predicting the outcome of sales opportunities is a core part of successful business management. Conventionally, undertaking this prediction has relied mostly on subjective human evaluations in the process of sales decision-making. In this paper, we addre...
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Yu-Chia Hsu
The interdisciplinary nature of sports and the presence of various systemic and non-systemic factors introduce challenges in predicting sports match outcomes using a single disciplinary approach. In contrast to previous studies that use sports performanc...
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Gurdal Ertek, Aysha Al-Kaabi and Aktham Issa Maghyereh
This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivat...
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Sibusiso W. Sabela,Leon M. Brummer,John H. Hall,Hendrik P. Wolmarans
AbstractThis study presents a three-stage approach in determining financial distress of companies listed on the Johannesburg Stock Exchange. A novel feature of the present study is that it deviates from a binary classification of corporate distress predi...
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Tiago Domingues, Tomás Brandão and João C. Ferreira
Considering the population growth rate of recent years, a doubling of the current worldwide crop productivity is expected to be needed by 2050. Pests and diseases are a major obstacle to achieving this productivity outcome. Therefore, it is very importan...
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Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg and Eric McArthur
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and a di...
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Mojtaba Zaresefat and Reza Derakhshani
Developing precise soft computing methods for groundwater management, which includes quality and quantity, is crucial for improving water resources planning and management. In the past 20 years, significant progress has been made in groundwater managemen...
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Serafeim Moustakidis, Spyridon Plakias, Christos Kokkotis, Themistoklis Tsatalas and Dimitrios Tsaopoulos
Understanding the performance indicators that contribute to the final score of a football match is crucial for directing the training process towards specific goals. This paper presents a pipeline for identifying key team-level performance variables in f...
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Ameer Saleh Hussein,Rihab Salah Khairy,Shaima Miqdad Mohamed Najeeb,Haider Th.Salim Alrikabi
Pág. pp. 24 - 42
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strate...
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Seyed Amirhossein Hosseini, Ahmad Alhasan and Omar Smadi
This paper describes the process and outcome of deterioration modeling for three different pavement types (asphalt, concrete, and composite) in the state of Iowa. Pavement condition data is collected by the Iowa Department of Transportation (DOT) and sto...
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Muhammad Mat Yusof,Ruzelan Khalid,Tajularipin Sulaiman,Mohamad Shukri Abdul Hamid,Rosnalini Mansor,Nurzahidah Che Rosli
Pág. 294 - 298
This paper develops a system integrating the knowledge of statistical modeling and Monte Carlo simulation to evaluate various types of soccer tournament structures. A system called as ?E-compare of Soccer Tournament Structures? aims to assist decision ma...
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Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Yanhao Li and Wei Liu
Event prediction is a knowledge inference problem that predicts the consequences or effects of an event based on existing information. Early work on event prediction typically modeled the event context to predict what would happen next. Moreover, the pre...
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Bahrad A. Sokhansanj and Gail L. Rosen
A key challenge for artificial intelligence in the legal field is to determine from the text of a party?s litigation brief whether, and why, it will succeed or fail. This paper shows a proof-of-concept test case from the United States: predicting outcome...
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