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A low doctor-to-patient ratio in rural areas of under-developed regions results in an inefficient and expensive delivery of healthcare. Information and Communication Technology (ICT) could play an important role in improving the efficiency and making healthcare more affordable. In this position paper, we present an architectural framework to use ICT (specifically mobile technology) for efficient delivery...
The paper mainly discussed the Application of the Model_Multi based on Apriori algorithm in Supporting System of Medical Decision. Model_multi is the exploring model of the multi-dimension relational rule. It is used to explore the knowledge from the present database so that the manager of the hospital can manage the hospital through the explored knowledge. The Aprior algorithm calculation of the...
National registries are databases intended to collect data useful for better planning and regulation of healthcare delivery at a national level. National registries can help government officials, health practitioners, and clinical researchers answer a variety of critical questions. These questions can be related to the efficacy of new drugs, spread patterns of a particular disease, or risk factors...
Electronic patient record mining deals with the implicit and useful medical information stored in the electronic patient record database. By this technology the useful knowledge is extracted and the scientific and auxiliary decision-making is proved for the diagnosis and treatment of disease. In this paper, a rough knowledge mining algorithm (named RKMA) based on extension decision rule lattice is...
Health care information systems tend to capture data for their research in order to promote the level of people's health status and the satisfaction of individuals in societies. To this aim, many approaches have been taken and examined. Data mining is one of the newest analytical methods that have been used to serve medical science research and has been shown to be a valid, sensitive, and reliable...
Elderly over 80 is the fastest growing segment of the Swedish population. With this increase in age the proportion of people with more than one chronic disease, multiple prescribed drugs, and disabilities is getting larger. At the same time, hospitalization accounts for a large amount of the total cost of healthcare. We hypothesize that the number and duration of these hospitalizations could be reduced...
Effective patient similarity assessment is important for clinical decision support. It enables the capture of past experience as manifested in the collective longitudinal medical records of patients to help clinicians assess the likely outcomes resulting from their decisions and actions. However, it is challenging to devise a patient similarity metric that is clinically relevant and semantically sound...
Concept lattice (Galois lattice) is an efficient tool for data analysis and rule extraction from multidimensional space. This paper introduces some definitions of concept lattice, and compares two methods of data inductive: AOI and concept lattice. After introduce the context, actual medical data is discretized and concept lattice and Hasse diagram are constructed to generate the concept hierarchy,...
In order to classify the disease from the clinical database, according to the characteristic of disease in rough relational databases, a method to classify the disease was put forward. Firstly, to collect the disease symptom model information table from the clinical database; secondly, symptom typical characterizing using accuracy; thirdly, classify the disease based on a novel rough distance. The...
By introducing status and progress of data mining and analyzing characteristics of medical data, a mathematical model of clinical medicine data mining is designed using data preprocessing, artificial neural network and manifold learning, focusing on data mining of clinical biochemical examining results for high-risk population with cancer and cardiovascular disease, and taking model output whose input...
The Electronic health record is kept in various hospitals in China. However, each hospital stores patient health records for its own purpose, and the patients do not have their own electronic health records. This does not achieve patient-centered medical service objectives. To this end, we have designed and developed a patient-centered of portable personal health information management system, and...
Since 5 years ago, civil aviation medicine certification management information system (CAMC system) has been applied in China. As relative dataset increases rapidly, data mining techniques become more and more important. A significant initial step toward the most effective mining is the development of civil aviation medicine data warehouse which integrates data from CAMC system and other sources...
First, the meaning of data mining from EMR with a view to discover valuable knowledge, as well as current problems is introduced. Then, several possible storage methods for EMR are deeply analyzed and studied. On this basis, the solution of storage XML EMR with DB2/9.5 hybrid database is presented. The XQ-Apriori algorithm based on classic Apriori algorithm and XML query language XQuery, as well as...
In this paper an innovative solution for delivery of CGA is described -healthcare information system. The purpose of this study is to integrate information technology and medical-related technologies to construct a “Comprehensive Geriatric Assessment Healthcare Information System”. The systems of this paper can improve increase the timeliness and accuracy of patient care and administration information,...
To get baby care and medical-relative information via search engine from website is becoming a trend However, nowadays, search engine for such information retrieve is almost "single-shot" searching process. Users are only allowed to input target queries at beginning which is inconsistent with human decision process in reality practice. This work proposed an integrated Baby Care (iBC) platform...
Interpretation of heart sounds can be a problematic and difficult task for cardiology specialists. Diagnosis of heart diseases requires special skill and clinical experience along with detailed and expensive tests. However, heart disease diagnosis by heartbeat sounds is preferable and still widely used as the first step of diagnosis. Recently, Computer aided auscultation has emerged as a cost-effective...
The nonlinear analysis of Heart Rate Variability (HRV) is a valuable tool in both clinical practice and physiological research reflecting the ability of the cardiovascular system. Poincare plot is a geometrical representation of RR time series to demonstrate patterns of heart rate dynamics resulting from nonlinear processes. In this paper, by using Poincare plot points we introduced a novel mapping...
This paper examines the obesity and overweight problem in our society. This problem has reached epidemic proportions globally and is nowadays under study by most of developed countries. All solutions proposed are based on educating people to make them more conscious about the importance of a good nutrition plan. However, passive learning techniques performed and used until now have not been useful...
The objectives of this paper are to present a guideline-based decision support system (GBDSS) design for supporting patient telehealth management of chronic disease and to test its performance in correctly making referral recommendations using routinely recorded measurement data from home telehealth recordings. The GBDSS has been developed to manage lung disease patients in a home telehealth environment...
Comorbidity is quite common in the medical practice. In this article we explore a way to use anonymized Electronic Health Records (EHR) data in order to derive correlations, evidence based likelihood of comorbidities manifestation within the EHR patients population. The ultimate goal is to present the information to the health care provider at the moment when a new diagnosis is entered for the patient,...
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