Predictive Modeling as guide for Health Informatics Deployment

2017 ◽  
pp. 128-162
Author(s):  
Fabrizio L. Ricci ◽  
Oscar Tamburis
Keyword(s):  
Mathematical Modeling ◽  
Predictive Modeling ◽  
Health Informatics ◽  
Research Work ◽  
Clinical Information ◽  
Healthcare Sector ◽  
Adoption Process ◽  
Design Features ◽  
Care Processes ◽  
Ex Ante

The present research work shows the main steps conducted towards the exploitation of the LUMIR project, aiming at realizing an EHR framework in the Italian Region of Basilicata (also known as Lucania). It relates to a structure of network–enabled services capable of integrating the ICT solutions used by the operators of the Healthcare System of Basilicata Region. The adoption process of the LuMiR system was meant to address the issues connected to the design features as well as to the EHR diffusion and the acceptance aspects. The mathematical modeling approach introduced aimed at making possible to get to a measure “ex–ante” of both adequacy and significance of the adoption process itself. The final intent is to work out a scalable and exportable model of advanced management of clinical information, towards a stronger cooperation among the provider organizations and a better governance of care processes, as crucial element within the more general path of modernization of the healthcare sector.

A Computer-based Clinical Information System

1987 ◽  
Vol 26 (04) ◽  
pp. 189-194
Author(s):  
S. S. El-Gamal
Keyword(s):  
Information System ◽  
Hospital Information System ◽  
Clinical Information System ◽  
Research Work ◽  
Clinical Information ◽  
Hospital Staff ◽  
Vital Role ◽  
Daily Routine ◽  
Specialized Hospital ◽  
Computer Based

SummaryModern information technology offers new opportunities for the storage and manipulation of hospital information. A computer-based hospital information system, dedicated to urology and nephrology, was designed and developed in our center. It involves in principle the employment of a program that allows the analysis of non-restricted, non-codified texts for the retrieval and processing of clinical data and its operation by non-computer-specialized hospital staff.This Hospital Information System now plays a vital role in the efficient provision of a good quality service and is used in daily routine and research work in this hospital. This paper describes this specialized Hospital Information System.

Knowledge Management System Among Onion Farmers Using Ict In Perambalur District Of Tamil Nadu

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1147-1155
Author(s):  
J.Nithya Jayaseeli ◽  
T. Devi
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Tamil Nadu ◽  
Research Work ◽  
Knowledge Management System ◽  
Adoption Process ◽  
Farming Community ◽  
Ict Adoption ◽  
Information And Communication ◽  
Production Form

The purpose of this study is to examine how Knowledge level augmented parameters impact on the effective adoption of information and communication technology (ICT) by onion farmers in Perambalur district of Tamil Nadu. Data were gathered from a focus group made up of 60 Farmers in Perambalur district. The paper finds that a willingness of indigenous ICT users is particularly influenced by the recognition and incorporation of visible social imperatives during the adoption process. Research limitations/implications – The outcome of this study highlights important issues for ICT adoption. One particular area that must be taken into consideration is the adoption channel. Perceptions of ICT adoption will differ significantly among adopters. For this reason, the need for developing an appropriate adoption channel that ensures successful diffusion of the innovation should be recognized. The paper also demonstrates that Knowledge Management System among farmers using ICT to yield more profit in onion Production form knowledge distributed by the experts. Hence the research work carried out to acquire, represent, and distribute the knowledge Management system to the Farming community.

INTEGRATED MEDICAL DATA MANAGEMENT SYSTEMS REVIEW

2019 ◽  
Author(s):  
Ihor Pysmennyi
Keyword(s):  
Health Informatics ◽  
Quality Care ◽  
Exchange Process ◽  
Knowledge Exchange ◽  
Clinical Information ◽  
Mobile Network ◽  
Developed Countries ◽  
Management Systems ◽  
Learning Techniques ◽  
Drastic Increase

In recent years we’ve seen breakthrough research success in medicine and computer science enabled by novel technology advancements, data analyses capabilities and learning techniques. Despite this, quality care doesn’t have full cove­ rage even in developed countries and access to care is recognised as one of the biggest challenges to the global healthcare system. Bound with population growth in remote areas in developing regions, which lack skilled professionals and medical resources, as well as aging in developed countries this caused a strong need for increasing healthcare effectiveness. Enabled by development of cloud technologies, quick expansion of mobile network coverage and internet access Clinical Information Management Systems integrated with decision support systems, Telemedicine (inclu­ ding distributed Virtual Healthcare Teams and medical imaging), Mobile Healthcare, medical Internet of Things (mIoT), Consumer Health Informatics with personal intelligent health assistants, Health Information Exchanges and deep learning techniques for diagnostics and knowledge extraction are among the state-of-the-art solutions which are more or less successfully used for coping with the problem mentioned above. This paper reviews current situation with implementing these novel informational systems, analyses their advantages, drawbacks, implementation impediments and outcome effectiveness suggesting platform for empowering their integration and maximizing output of each module. Such solution will have a synergy effect and result in a drastic increase of medical resource utilization effectiveness, service quality and providing bigger and fuller coverage with less spending at the same time empowering knowledge exchange process and laying foundation for future development and innovations in the whole healthcare domain.

On the displacements of the contours of the optic-electronic space images. Mathematical modeling of displacement

2017 ◽  
Vol 992 (4) ◽  
pp. 32-38 ◽  
Author(s):  
E.G. Voronin
Keyword(s):  
Mathematical Modeling ◽  
Remote Sensing ◽  
Mathematical Model ◽  
Point Of View ◽  
Design Features ◽  
Space Images ◽  
Electronic Imaging ◽  
Measuring Accuracy ◽  
Physical Laws

The article opens a cycle of three consecutive publications dedicated to the phenomenon of the displacement of the same points in overlapping scans obtained adjacent CCD matrices with opto-electronic imagery. This phenomenon was noticed by other authors, but the proposed explanation for the origin of displacements and the resulting estimates are insufficient, and developed their solutions seem controversial from the point of view of recovery of the measuring accuracy of opticalelectronic space images, determined by the physical laws of their formation. In the first article the mathematical modeling of the expected displacements based on the design features of a scanning opto-electronic imaging equipment. It is shown that actual bias cannot be forecast, because they include additional terms, which may be gross, systematic and random values. The proposed algorithm for computing the most probable values of the additional displacement and ways to address some of the systematic components of these displacements in a mathematical model of optical-electronic remote sensing.

scholarly journals Demographic Dynamics in Multitype Populations with Migrations

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 246
Author(s):  
Manuel Molina-Fernández ◽  
Manuel Mota-Medina
Keyword(s):  
Mathematical Modeling ◽  
Population Dynamics ◽  
Branching Process ◽  
Probability Model ◽  
Biological Systems ◽  
Research Work ◽  
General Setting ◽  
Process Theory ◽  
Multitype Branching Process ◽  
Demographic Dynamics

This research work deals with mathematical modeling in complex biological systems in which several types of individuals coexist in various populations. Migratory phenomena among the populations are allowed. We propose a class of mathematical models to describe the demographic dynamics of these type of complex systems. The probability model is defined through a sequence of random matrices in which rows and columns represent the various populations and the several types of individuals, respectively. We prove that this stochastic sequence can be studied under the general setting provided by the multitype branching process theory. Probabilistic properties and limiting results are then established. As application, we present an illustrative example about the population dynamics of biological systems formed by long-lived raptor colonies.

A Novel Disease Detection and Classification Method Using Improved Fusion Random Weight Support Vector Machine

2021 ◽  
Vol 11 (12) ◽  
pp. 2976-2986
Author(s):  
M. Usha Rani ◽  
N. Saravana Selvam
Keyword(s):  
Support Vector Machine ◽  
Human Health ◽  
Health Informatics ◽  
Research Work ◽  
Noise Removal ◽  
Support Vector ◽  
Computational Techniques ◽  
Disease Detection ◽  
Successful Implementation ◽  
Leaf Disease

Health informatics is one of the main branch of engineering which provides a solution to a variety of problems like delayed, missed or incorrect diagnoses with the help of computational techniques. With the help of technologies such as bio-computing, health informatics, the disaster impacts on both human health and biological factors can be reduced to a large extend. Using these computational technologies, the country’s economy can also get boosted up and due to increased disease-causing pathogens, which directly impact the human health system. In this research work, a different type of sugarcane disease is detected and classified because manual identification is difficult and time-consuming. So, the farmers couldn’t find a better solution, than on the whole, they go for stubble burning, which is an alarming issue both on human and environmental wellness. The burning of bagasse causes bagassois, an interstitial lung disease that affects the tissues present in the lung through the air sacs. So, this sugarcane disease detection needs to be done early to avoid various health and environmental issues. The proposed work consists of the detection of four types of sugarcane leaf disease directly from the field. The sequence of methods is capturing images with WSN nodes, pre-processing with image enhancement and noise removal (IENR), segmentation with Fuzzy membership function and clustering (FMFC), feature extraction using Gray Level Co-occurrence Matrix Vector (GLCMV) and classification using Support Vector Machine (SVM). With the help of the effective proposed method, the highest parameters like precision, accuracy, sensitivity, and specificity for sugarcane leaf disease have been obtained. Based on the successful implementation process, the accuracy stated for the four sugarcane diseases along with the execution time is given below as Smut disease (87.12, 1.01 sec), Rust disease (90.23, 1.02 sec), Grassy Shoot disease (95.34, 1.047 sec), Red Rot disease (95.51, 1.04 sec).

RESEARCH AND MATHEMATICAL MODELING OF SERVO DRIVES WITH ACCOUNT OF THE ACTUATOR DESIGN FEATURES

Vestnik LSTU ◽  
2021 ◽  
pp. 23-30
Author(s):  
Yuri Mikhailovich Krylov ◽  
Alexander Alexandrovich Agapov ◽  
Alexander Mikhailovich Litvinenko ◽  
Nikolay Sergeevich Antonov
Keyword(s):  
Mathematical Modeling ◽  
Design Features ◽  
Servo Drives ◽  
Actuator Design

Women’s Health Informatics in the Primary Care Setting

2011 ◽  
pp. 1518-1529
Author(s):  
Gareth Parry
Keyword(s):  
Primary Care ◽  
Women’S Health ◽  
Women's Health ◽  
Health Informatics ◽  
Clinical Information ◽  
Improve Patient Care ◽  
Primary Care Doctor ◽  
Local Hospital ◽  
The Many

Women’s health in primary care is a large part of the generalist’s practice. Information technology (IT) is now an integral part of the generalist’s office, often more so than in secondary care and therefore this chapter is a key starting point in the book. Initially there is an introduction of the role of IT in primary health and the many areas it may encompass. We then move onto organizing clinical information and the ways that this maybe represented electronically in the “cradle to grave” electronic health record. In addition to recording information, can IT help the primary care doctor? The area of IT in screening, prevention and alerts is discussed. The role of the computer in the clinician’s office and the impact it has on the consultation is explored. Can computer help clinicians perform better? Areas of discussion include the role of computers in audit and systems using artificial intelligence to improve patient care. IT is increasingly important in scheduling both within the practice and at the local hospital. This can be done by the primary care doctor and in some instances by the patient his or herself. The ideal situation is the primary care doctor having a system which can “talk” to external systems (e.g. local hospital notes, with a secure portal). In some countries such as the United Kingdom, this is becoming a reality, though there are problems which are discussed.

Overview of Predictive Modeling Approaches in Health Care Data Mining

2016 ◽  
pp. 73-95 ◽  
Author(s):  
Sunita Soni
Keyword(s):  
Data Mining ◽  
Predictive Modeling ◽  
Clinical Information ◽  
Ease Of Use ◽  
Classification Model ◽  
Computational Time ◽  
Data Sets ◽  
Advantages And Disadvantages ◽  
Mining Methods ◽  
Predictive Data Mining

Medical data mining has great potential for exploring the hidden pattern in the data sets of the medical domain. A predictive modeling approach of Data Mining has been systematically applied for the prognosis, diagnosis, and planning for treatment of chronic disease. For example, a classification system can assist the physician to predict if the patient is likely to have a certain disease, or by considering the output of the classification model, the physician can make a better decision on the treatment to be applied to the patient. Once the model is evaluated and verified, it may be embedded within clinical information systems. The objective of this chapter is to extensively study the various predictive data mining methods to evaluate their usage in terms of accuracy, computational time, comprehensibility of the results, ease of use of the algorithm, and advantages and disadvantages to relatively naive medical users. The research has shown that there is not a single best prediction tool, but instead, the best performing algorithm will depend on the features of the dataset to be analyzed.

Purely Declarative Feature-Based Design With Feature Type Property Maintenance

2004 ◽  
Author(s):  
Dhaval Lokagariwar ◽  
Bernhard Bettig
Keyword(s):  
Design Process ◽  
Research Work ◽  
Building Blocks ◽  
Feature Representation ◽  
Software Systems ◽  
Design Environment ◽  
Design Features ◽  
Planning Algorithm ◽  
Feature Based ◽  
Feature Based Design

Commercial feature-based design systems are based on describing the design model in some form of sequential representation of primitive shapes and operations called features. In these systems, the overall design process, the behavior of building blocks and the characteristics of the final model, are governed by the construction sequence. These systems do not check for the conformity of the final shape with the actual design intent of features, and allow their design and engineering intent to be altered during the design process. The research work presented here describes a new design methodology and feature representation for facilitating a design environment that is independent of any construction order or constraint-based dependencies and provides a mechanism for maintaining design and engineering intent of the design features. The methodology works by dynamically evaluating the features using a planning algorithm such that the validity of each feature is maintained. These are intended to serve as a generic template that can be used to design and develop specific design features and CAD software systems.

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