A New Paradigm in Patient Care - Leveraging Artificial Intelligence and Mobile Health Technology for Patient-Centred Solutions | Chapter 7 | Advanced Concepts in Medicine and Medical Research Vol. 7

 In current years, Artificial Intelligence (AI) has altered healthcare, with a focus on progressive AI techniques for ailment prediction using mHealth dossier from wearables and smartphones. This scoping review aims to explore the arising use of AI-powered mHealth (AIM) in disease administration and health promotion, outlining research from the past two years. Utilizing established foundations, AIM literature from biomedical technology, AI, and news systems was reviewed. Searches were attended in relevant databases using keywords. Items on AIM were included, while technical-only AI items were excluded. Consumed 121 screened articles, 40 join the criteria. These articles called various aspects of AIM, in the way that detecting mental health issues and never-ending conditions and enabling detached patient monitoring. AIM studies generally focused on mental and material health, often utilizing proprietary datasets. In conclusion, AIM is a increasing research field, offering accurate guessws for preventive healthcare. Current AI techniques like federated knowledge and explainable AI can enhance AIM maintenance and secure data sharing in the healthcare manufacturing.

Author(s) Details:

Jitendra Patel,
GMERS Medical College, Vadnagar, Gujarat, HNGU, Patan, India.

Charu Mishra,
Madhav Prasad Tripathi Medical College, Distt. Siddharth Nagar, Uttar Pradesh, India.

Uditkumar Agrawal,
Biochemistry Department, NSC Government Medical College, Khandwa, India.

R. Pavani,
Government Medical College Adoni, Kurnool District, Andhra Pradesh, India.

Yogesh Kumar Yadav,
Rajarshi Dashrath Autonomous State Medical College, Distt. Ayodhya, Uttar Pradesh, India.

Roja V. R.,
St. John’s Research Institute, St. John Medical College, Bangalore, Karnataka, India.

Pratik N. Akhani,
Department of Physiology, GMERS Medical College, Dharpur, Patan-384265, Gujarat, India.

Please see the link here: https://stm.bookpi.org/ACMMR-V7/article/view/12668

Responding to the Call: Information Systems Graduate Preparation and Job Needs | Chapter 04 | Current Research in Language, Literature and Education Vol. 3

 This study looked at the viewpoints of Information Systems programme graduates from an Eastern US state on academic preparation and job skill requirements. For this study, a historical examination of the literature around information systems skill needs was undertaken in order to have a better understanding of how information systems have changed throughout the years. This historical review of the literature highlighted the reality that the industry is rapidly changing, necessitating the need for information systems professionals to change as well. The study used a descriptive research approach rather than an experimental one to allow for a descriptive interpretation of the attitudes of new IS graduates. The study's findings revealed that there is widespread agreement on the abilities required of an information systems worker. Graduates, on the other hand, are concerned about how these skills are being taught in order to produce qualified information systems professionals for the workforce.

Author(S) Details

DeShea Simon
School of Business, Hampton University, 100 E. Queen St. Hampton, Virginia 23668, USA.

View Book:- https://stm.bookpi.org/CRLLE-V3/article/view/5665

Developing a Decision-Making Support Information System for the Operational Control of Industrial Technological Processes | Chapter 03 | Recent Advances in Mathematical Research and Computer Science Vol. 7

 The engineering control realisation was developed using fuzzy logic, which is a new and unique technique. Fuzzy logic has shown enormous potential in recent years, especially in the automation of industrial process control, where it permits control designs to be designed based on expert experience and experimental results. The completed projects show that utilising fuzzy logic in technical process control has already resulted in better decisions than traditional control strategies. Instead of using a mathematical model, fuzzy logic allows for the design of a decision-making advising system based on operator experience and experiment outcomes. The current study focuses on a specific technological process: employing fuzzy logic and an associated expert-objective knowledge base to construct a support decision-making information system for the operational control of a lime kiln.

Author(S) Details

Adelina Ahadova
Department of Information Science, Ivane Javakhishvili Tbilisi State University, 0177, University Str. 2, Tbilisi, Georgia.

View Book:- https://stm.bookpi.org/RAMRCS-V7/article/view/5488

A Study on Applications of Systems Engineering to Holistic Didactics | Chapter 5 | Modern Perspectives in Language, Literature and Education Vol. 9

There are a variety of techniques that math and statistics teachers have used to make statistics more engaging and hence improve student success. One of these strategies is to connect the app to something intriguing. However, going back into the history of why these techniques were invented in the first place is an often ignored method of making statistics more fascinating. This rich history can often provide pupils with a more logical orientation, which can help them learn more and be more engaged in the classroom. The goal of this project was to investigate strategies to improve statistics education in the classroom by bringing statistics history into the curriculum. This study looks at some of the historical aspects of statistics and explains how adding this material in a learning plan might assist students learn the topic.

Author (S) Details

Evangelos C. Papakitsos
Research Laboratory of “Data, Information and Knowledge Management”, University of West Attica, Greece.

Panagiotis S. Makrygiannis
Research Laboratory of “Electronic Automation, Telematics and Cyber-Physical Systems”, University of West Attica, Greece.

Anastasios Mavrakis
Research Laboratory of “Geo-Environmental Science and Environmental Quality Assurance”, University of West Attica, Greece.

View Book :- https://stm.bookpi.org/MPLLE-V9/article/view/3596

Exploring the Critical Success Factors in Social and Health Care Information Systems Project Procurement | Chapter 1 | Recent Developments in Engineering Research Vol. 8

 A welfare reform involving the mixing of social and health services is being introduced by the Finnish government. Several factors have been identified for this shift, the most relevant of which is that many information systems are not interoperable and data-related problems have been identified. Management and isolated offers of service. Digitalizing to solve these issues is part of the government's policy. This paper outlines the change landscape and explores the architectural options of the proposed digitalisation process and crucial success factors. The Undertaking The design is applied to the largest county, which consists of over 1,900 information systems related to social support and health care. The goal is to design a single joint framework with no more than 300 supporting information systems, resulting in savings of EUR 3 billion. Six key scientific conclusions are presented as the results.

Author (s) Details

Hannu Vilpponen
University of Jyväskylä, Finland.

Mika Grundström
Tampere University, Finland.

Pekka Abrahamsson
University of Jyväskylä, Finland.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/333