The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
DocBot is a web-based clinical decision support system (CDSS) that uses patient interaction and electronic health record analytics to assist medical practitioners with decision making. It consists of two distinct HTML interfaces: a preclinical form wherein a patient inputs symptomatic and demographic information, and an interface wherein a medical practitioner views patient information and analysis...
The Biomedical and Clinical (BC) research domain has evolved significantly in the last decade, quickly becoming a data-intensive field that requires sophisticated databases and data analysis tools. The constant growth of BC data has given rise to the notion of data-driven decision making. BC institutions typically use a wide range of modern diagnostic equipment that produces various types of biomedical...
Objectives: In order to better understand the synergetic activities of radix aconite lateralis praeparata (Fuzi)-rheum officinale (Dahuang) herb pairs. Material and methods: The target proteins of Fuzi and Dahuang were retrieved from PubChem database and were uploaded to ingenuity pathway analysis (IPA) platform. Then we carried out molecular network analysis and canonical pathway analysis. Finally,...
As people have interests in their health recently, development of medical domain application has been one of the most active research areas. One example of medical domain application is detection system for heart disease based on computer-aided diagnosis methods, were the data are obtained from some other sources and are evaluated based on computer based applications. At the earlier time, the use...
There are three sections, an Information, a Tester, and a Decision Maker, that supporting decision making in BBVet (Balai Besar Veteriner) Yogyakarta,. During the time, data have been delivered and shared between those sections manually thus there is inefficiency in the decision-making process. A Decision Support System (DSS) is proposed to overcome the problem. Infolab 3-link as a decision support...
With the advancement of technology and telecommunication, ICT is in a position to play a major role in Public Health planning, disease eradication and containment. The introduction of Ubiquitous computing into the health care system will ensure that patient data is readily available to those authorized and can be collected and analyzed in real time. In this paper we designed and developed a Ubiquitous...
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...
The Data Warehouse for Lymphoma Decision Support System is a data warehouse containing relevant Lymphoma medical information and patient data. The data warehouse provides the source for all current and historical clinical data to help doctors and other health professionals to improve the quality of diagnosis, clinical care and treatment recommendation decision making for Lymphoma patients. This paper...
A diagnosis system for pests on fruit trees based on multiple levels imprecise reasoning arithmetic is developed using Visual C++. Object-oriented knowledge expression method is used, which makes it easy to dig and express knowledge and make it efficiently to reason. The mixture of forward and backward reasoning mechanism is used in the system. The rule of depth preference is adopted when searching...
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...
Objective and early detection of Alzheimer's disease (AD) is a demanding problem requiring consideration of manymodal observations. Potentially, many features could be used to discern between people without AD and those at different stages of the disease. Such features include results from cognitive and memory tests, imaging (MRI, PET) results, cerebral spine fluid data, blood markers etc. However,...
Diagnosis of Hridroga (cardiac disorders) in Ayurveda requires the combination of many different types of data, including personal details, patient symptoms, patient histories, general examination results, Ashtavidha pareeksha results etc. Computer-assisted decision support systems must be able to combine these data types into a seamless system. Intelligent agents, an approach that has been used chiefly...
Prostate gland diseases, including cancer, are estimated to be of the leading causes of male deaths worldwide and their management are based on clinical practice guidelines regarding diagnosis and continuing care. HIROFILOS-II is a prototype hybrid intelligent system for diagnosis and treatment of all prostate diseases based on symptoms and test results from patient health records. It is in contrast...
Echo videos are an important modality for cardiac decision support. In addition to describing the shape and motion of the heart, they capture important diagnostic measurements as textual feature-value pairs that are good indicators of the underlying disease. In this paper, we describe reliable extraction of such textual information through selective image processing and region extraction prior to...
ldquoWeb-based intelligent decision support system for prevention and control of fruit tree diseases and pests rdquo is a integrated agricultural information platform, which uses some high-tech and practical technology, such as pattern recognition technology, fruit tree cultivation and management techniques, pest and disease control technology, intelligent database technology, multimedia and network...
Glucose control in acute cardiac disease is difficult to achieve and may improve patient outcome. Because glucose levels were high at the Intensive Cardiac Care Unit, and adherence to a paper protocol was low, a web based decision support system for glucose control was developed. A board view of the currently admitted patients is provided; new glucose values are retrieved along with insulin infusion...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.