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Computers, Volume 10, Issue 1

2021 January - 13 articles

Cover Story: Population health management is the automated process of using big data to define patient cohorts and stratify groups by risk, with the final aim of improving clinical outcomes and quality of life while also reducing healthcare costs. This paper presents the trade-off of multiple machine learning algorithms to identify high-risk patients, which are usually affected by multimorbidity and represent major healthcare system users. Input datasets consist of administrative and socioeconomic data from periods of different lengths. Random Forest with 1 year of historical data achieves the best results, enabling real-time risk prediction updates whenever new data are collected and giving physicians the possibility to define appropriate personalized medicine for patients. View this paper
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Articles (13)

  • Article
  • Open Access
59 Citations
14,408 Views
21 Pages

Anomalies Detection Using Isolation in Concept-Drifting Data Streams

  • Maurras Ulbricht Togbe,
  • Yousra Chabchoub,
  • Aliou Boly,
  • Mariam Barry and ,
  • Raja Chiky and
  • Maroua Bahri
  • + 1 author+ 0 author

19 January 2021

Detecting anomalies in streaming data is an important issue for many application domains, such as cybersecurity, natural disasters, or bank frauds. Different approaches have been designed in order to detect anomalies: statistics-based, isolation-base...

(This article belongs to the Special Issue Selected Papers from ICCSA 2020)
  • Article
  • Open Access
4 Citations
4,545 Views
15 Pages

17 January 2021

Cases of a new emergent infectious disease caused by mutations in the coronavirus family, called “COVID-19,” have spiked recently, affecting millions of people, and this has been classified as a global pandemic due to the wide spread of t...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
67 Citations
11,905 Views
27 Pages

An Empirical Review of Automated Machine Learning

  • Lorenzo Vaccaro,
  • Giuseppe Sansonetti and
  • Alessandro Micarelli

13 January 2021

In recent years, Automated Machine Learning (AutoML) has become increasingly important in Computer Science due to the valuable potential it offers. This is testified by the high number of works published in the academic field and the significant effo...

(This article belongs to the Special Issue Selected Papers from ICCSA 2020)
  • Article
  • Open Access
26 Citations
7,836 Views
21 Pages

Energy-Efficient Task Partitioning for Real-Time Scheduling on Multi-Core Platforms

  • Manal A. El Sayed,
  • El Sayed M. Saad,
  • Rasha F. Aly and
  • Shahira M. Habashy

Multi-core processors have become widespread computing engines for recent embedded real-time systems. Efficient task partitioning plays a significant role in real-time computing for achieving higher performance alongside sustaining system correctness...

(This article belongs to the Special Issue Real-Time Systems in Emerging IoT-Embedded Applications)
  • Article
  • Open Access
2 Citations
5,005 Views
28 Pages

Self-replicating robot systems (SRRSs) are a new prospective paradigm for robotic exploration. They can potentially facilitate lower mission costs and enhance mission capabilities by allowing some materials, which are needed for robotic system constr...

(This article belongs to the Special Issue Feature Paper in Computers)
  • Article
  • Open Access
4 Citations
4,683 Views
12 Pages

Educational centers (schools, academies, high schools, etc.) are usually small companies, which make them special in terms of management. The management of IT services is far from standard and based in home solutions. The disadvantage of this approac...

(This article belongs to the Special Issue Interactive Technology and Smart Education)
  • Article
  • Open Access
31 Citations
10,680 Views
12 Pages

Smart Contract Data Feed Framework for Privacy-Preserving Oracle System on Blockchain

  • Junhoo Park,
  • Hyekjin Kim,
  • Geunyoung Kim and
  • Jaecheol Ryou

28 December 2020

As blockchain-based applications and research such as cryptocurrency increase, an oracle problem to bring external data in the blockchain is emerging. Among the methods to solve the oracle problem, a method of configuring oracle based on TLS, an exis...

  • Article
  • Open Access
22 Citations
4,876 Views
15 Pages

27 December 2020

The accurate detection of abnormalities in medical images (like X-ray and CT scans) is a challenging problem due to images’ blurred boundary contours, different sizes, variable shapes, and uneven density. In this paper, we tackle this problem v...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
31 Citations
7,466 Views
25 Pages

Elderly Care Based on Hand Gestures Using Kinect Sensor

  • Munir Oudah,
  • Ali Al-Naji and
  • Javaan Chahl

26 December 2020

Technological advances have allowed hand gestures to become an important research field especially in applications such as health care and assisting applications for elderly people, providing a natural interaction with the assisting system through a...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
13 Citations
4,970 Views
21 Pages

Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management

  • Silvia Panicacci,
  • Massimiliano Donati,
  • Francesco Profili,
  • Paolo Francesconi and
  • Luca Fanucci

25 December 2020

Together with population ageing, the number of people suffering from multimorbidity is increasing, up to more than half of the population by 2035. This part of the population is composed by the highest-risk patients, who are, at the same time, the ma...

(This article belongs to the Special Issue Artificial Intelligence for Health)
  • Article
  • Open Access
5 Citations
4,961 Views
22 Pages

24 December 2020

Interpersonal trust mediates multiple socio-technical systems and has implications for personal and societal well-being. Consequently, it is crucial to devise novel machine learning methods to infer interpersonal trust automatically using mobile sens...

  • Article
  • Open Access
29 Citations
8,148 Views
14 Pages

Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition

  • Rahul Raj Devaraja,
  • Rytis Maskeliūnas and
  • Robertas Damaševičius

22 December 2020

We developed an anthropomorphic multi-finger artificial hand for a fine-scale object grasping task, sensing the grasped object’s shape. The robotic hand was created using the 3D printer and has the servo bed for stand-alone finger movement. The...

(This article belongs to the Special Issue Selected Papers from ICCSA 2020)
  • Article
  • Open Access
64 Citations
9,394 Views
13 Pages

Performance Optimization of MANET Networks through Routing Protocol Analysis

  • Tri Kuntoro Priyambodo,
  • Danur Wijayanto and
  • Made Santo Gitakarma

22 December 2020

A Mobile Ad Hoc Network (MANET) protocol requires proper settings to perform data transmission optimally. To overcome this problem, it is necessary to select the correct routing protocol and use the routing protocol’s default parameter values....

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Computers - ISSN 2073-431X