Window-based multi-objective optimization for dynamic patient scheduling with problem-specific operators

The problem of patient admission scheduling (PAS) is a nondeterministic polynomial time (NP)-hard combinatorial optimization problem with numerous constraints. Researchers have divided the constraints of this problem into hard (i.e., feasible solution) and soft constraints (i.e., quality solution). The majority of research has dealt with PAS using integer linear programming (ILP) and single objective meta-heuristic searching-based approaches. ILP-based approaches carry high computational demand and the risk of non-feasibility for a large dataset. In a single objective optimization, there is a risk of local minima due to the non-convexity of the problem. In this article, we present the first pareto front-based optimization for PAS using set of meta-heuristic approaches. We selected four multi-objective optimization methods. Problem-specific operators were developed for each of them. Next, we compared them with single objective optimization approaches, namely, simulated annealing and particle swarm optimization. In addition, this article also deals with the dynamical aspect of this problem by comparing historical window-based decomposition with day decomposition, as has previously been proposed in the literature. An evaluation of the models proposed in the article and comparison with traditional models reveals the superiority of our proposed multi-objective optimization with window incorporation in terms of optimality

The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field

Toward a Discourse Community for Telemedicine: A Domain Analytic View of Published Scholarship

In the past 20 years, the use of telemedicine has increased, with telemedicine programs increasingly being conducted through the Internet and ISDN technologies. The purpose of this dissertation is to examine the discourse community of telemedicine. This study examined the published literature on telemedicine as it pertains to quality of care, defined as correct diagnosis and treatment (Bynum and Irwin 2011). Content analysis and bibliometrics were conducted on the scholarly discourse, and the most prominent authors and journals were documented to paint and depict the epistemological map of the discourse community of telemedicine. A taxonomy based on grounded research of scholarly literature was developed and validated against other existing taxonomies. Telemedicine has been found to increase the quality and access of health care and decrease health care costs (Heinzelmann, Williams, Lugn and Kvedar 2005 and Wootton and Craig 1999). Patients in rural areas where there is no specialist or patients who find it difficult to get to a doctor’s office benefit from telemedicine. Little research thus far has examined scholarly journals in order to aggregate and analyze the prevalent issues in the discourse community of telemedicine. The purpose of this dissertation is to empiricallydocument the prominent topics and issues in telemedicine by examining the related published scholarly discourse of telemedicine during a snapshot in time. This study contributes to the field of telemedicine by offering a comprehensive taxonomy of the leading authors and journals in telemedicine, and informs clinicians, librarians and other stakeholders, including those who may want to implement telemedicine in their institution, about issues telemedicine

Jefferson Alumni Bulletin – Volume XVI, Number 2 Winter 1967

Jefferson Alumni Bulletin – Volume XVI, Number 2 Winter 1967 Medicine and the computer, page 2 The Sodeman years, page 7 98TH Mid-Winter meeting, page 10 The new president, page 14 Report of an emissary, page 15 The Bockus society, page 18 Anniversary notes on Cardeza, page 21 Philadelphia academy of surgery, page 23 The Rehfuss lecture, page 24 Faculty notes, page 26 Alumnus named department head, page 35 Necrology, page 38 Chapter notes, page 41 Reunion schedule, page 42 Alumni achievements, page 44 Annual giving, page 47 Class notes, page 50 Some interesting Jefferson alumni, page 62 Calendar of future events, page 6

University of Windsor Graduate Calendar 1992-1994

https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1014/thumbnail.jp