Sistem Pakar Diagnosa Penyakit Jantung Menggunakan Metode Certainty Factor Berbasis Web

Currently, computers have been widely used in the medical world to help diagnose a disease. The disease is most commonly found is Heart Disease. One technique in the diagnosis of heart disease is an expert system. Expert systems are computer-based system that uses knowledge, facts and reasoning techniques in solving problems that typically can only be solved by an expert in a particular field. Expert system technology provides added value to assist in dealing with an increasingly sophisticated era of information.The method used in software development is the waterfall method. Waterfall method which consists of requirements analysis and definition, software system design, implementation, testing, and maintenance. In a needs analysis and definition, in general this stage to collect all the needs. This need is an early stageor base from the manufacturing process further. Later on in the design of input and output interface is a software system design. Therefore this study aims to develop an expert system used for early diagnosis of heart disease based on symptoms that feel. The system will display the level of trust fowards these symptoms for the possibility of illnesses by patient. The value of trust is the result of calculation using the method of certainty factor (CF). System implementation is realized into the PHP programming language and can be run/ accessed via the web based, which can be accessed at any time by the general public

SISTEM PAKAR DIAGNOSA PENYAKIT JANTUNG MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB

Currently, computers have been widely used in the medical world to help diagnose a disease. The disease is most commonly found is Heart Disease. One technique in the diagnosis of heart disease is an expert system. Expert systems are computer-based system that uses knowledge, facts and reasoning techniques in solving problems that typically can only be solved by an expert in a particular field. Expert system technology provides added value to assist in dealing with an increasingly sophisticated era of information.The method used in software development is the waterfall method. Waterfall method which consists of requirements analysis and definition, software system design, implementation, testing, and maintenance. In a needs analysis and definition, in general this stage to collect all the needs. This need is an early stageor base from the manufacturing process further. Later on in the design of input and output interface is a software system design. Therefore this study aims to develop an expert system used for early diagnosis of heart disease based on symptoms that feel. The system will display the level of trust fowards these symptoms for the possibility of illnesses by patient. The value of trust is the result of calculation using the method of certainty factor (CF). System implementation is realized into the PHP programming language and can be run/ accessed via the web based, which can be accessed at any time by the general public

The Requirements for Ontologies in Medical Data Integration: A Case Study

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patients medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scattered in a variety of databases and may, in a distributed model, be held across several disparate repositories. Consequently addressing the needs of an evidence-based medicine community presents issues of biomedical data integration, clinical interpretation and knowledge management. This paper outlines how the Health-e-Child project has approached the challenge of requirements specification for (bio-) medical data integration, from the level of cellular data, through disease to that of patient and population. The approach is illuminated through the requirements elicitation and analysis of Juvenile Idiopathic Arthritis (JIA), one of three diseases being studied in the EC-funded Health-e-Child project.Comment: 6 pages, 1 figure. Presented at the 11th International Database Engineering & Applications Symposium (Ideas2007). Banff, Canada September 200

Determining predictors of underlying etiology and clinical deterioration in patients with physiologic instability in the emergency department

Thesis (M.A.)--Boston UniversityShock is a critical state defined by inadequate oxygen delivery to tissues. It is well known in the critical care community that early diagnosis and treatment of shock are crucial to improving patient outcomes. However, in many cases, when a state of circulatory shock has been reached, irreversible damage already occurred. In the present study, we broadened our patient cohort from those with shock to those with physiologic instability with the intent of finding predictive factors that allow us to recognize when a patient is at risk for deterioration or when it is already occurring. These patients included patients with pre-shock, shock, and other forms of dysfunction. The purpose of this study was to determine the predictors of underlying etiology of physiologic instability as well as the likelihood of clinical deterioration in these various states, using elements from the physical exam, history, laboratory values, and vital sign measurements. This study was a prospective observational study of patients, from November 15, 2012 to March 1, 2013, found to have physiologic instability in the emergency department at an urban, academic tertiary-care hospital with 55,000 annual visits. Physiologic instability was defined as any one of the following abnormalities: heart rate (HR) > 130, respiratory rate (RR>24), shock index (SI) > 1, systolic blood pressure (SBP) 4.0 mmol/L, for a time period of more than five minutes. We identified 540 patients, 74.8% of which were included. Data describing epidemiology, and elements from the patient history and physical exam were abstracted from physician charts and the final etiology of physiologic instability, defined as septic, cardiogenic, hypovolemic, hemorrhagic, or other, was adjudicated by a physician. Blood samples from a subset of our patient group were collected from the hospital hematology laboratory and sent to the Wyss Institute to be analyzed using a novel bacterial detection assay. All of the covariates that data was collected for were analyzed to determine their diagnostic and prognostic value. [TRUNCATED

Can Lessons from Public Health Disease Surveillance Be Applied to Environmental Public Health Tracking?

Disease surveillance has a century-long tradition in public health, and environmental data have been collected at a national level by the U.S. Environmental Protection Agency for several decades. Recently, the Centers for Disease Control and Prevention announced an initiative to develop a national environmental public health tracking (EPHT) network with “linkage” of existing environmental and chronic disease data as a central goal. On the basis of experience with long-established disease surveillance systems, in this article we suggest how a system capable of linking routinely collected disease and exposure data should be developed, but caution that formal linkage of data is not the only approach required for an effective EPHT program. The primary operational goal of EPHT has to be the “treatment” of the environment to prevent and/or reduce exposures and minimize population risk for developing chronic diseases. Chronic, multifactorial diseases do not lend themselves to data-driven evaluations of intervention strategies, time trends, exposure patterns, or identification of at-risk populations based only on routinely collected surveillance data. Thus, EPHT should be synonymous with a dynamic process requiring regular system updates to a) incorporate new technologies to improve population-level exposure and disease assessment, b) allow public dissemination of new data that become available, c) allow the policy community to address new and emerging exposures and disease “threads,” and d) evaluate the effectiveness of EPHT over some appropriate time interval. It will be necessary to weigh the benefits of surveillance against its costs, but the major challenge will be to maintain support for this important new system

Big data and data repurposing – using existing data to answer new questions in vascular dementia research

Introduction: Traditional approaches to clinical research have, as yet, failed to provide effective treatments for vascular dementia (VaD). Novel approaches to collation and synthesis of data may allow for time and cost efficient hypothesis generating and testing. These approaches may have particular utility in helping us understand and treat a complex condition such as VaD. Methods: We present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group’s experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9th International Congress on Vascular Dementia (Ljubljana, 16-18th October 2015). Results: We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach. Conclusions: There are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use

Prognostic Value of the Persistence or Change in Pericardial Effusion Status on Serial Echocardiograms in Pulmonary Arterial Hypertension

Background: Pericardial effusion in pulmonary arterial hypertension (PAH) is an indicator of right heart failure and a marker of poor prognosis; its significance on serial transthoracic echocardiograms (TTE) is not clear. Methods: We examined our database for PAH patients followed at our center (10/99-11/07). Baseline and follow-up TTE (1.0±0.5y) and outcomes were studied (N=200). The presence of pericardial effusion was evaluated at baseline and follow-up. The persistence or change in pericardial effusion status was categorized into four categories. Kaplan Meier methods were used to estimate survival functions of the various categories. Cox proportional hazards modeling was used to adjust for other covariates and identify independent predictors. Results: Over a mean follow-up of 4.6 ± 2.6 y, 53% (n=106) patients died. Pericardial effusion was present in 20% (n=40) at baseline and 22% (n=44) during follow up. Patients with pericardial effusion at baseline or follow-up had significantly higher creatinine, pulmonary vascular resistance, lower cardiac output, and were more likely to be treated with prostanoids. During follow-up, there was significantly increased prostanoids (58% vs. 28%) and combination therapy (8% vs. 2%) use compared to baseline. New or persistence of pericardial effusion was associated with worse outcomes (p<0.001) and an independent predictor of survival after adjusting for age, creatinine, sodium, cardiac output, mean right atrial pressure, New York Heart Association (NYHA ) functional class, and presence of connective tissue disease as the etiology of PAH (p-value<0.001). Conclusion: New or persistent pericardial effusion in PAH despite vasoactive therapy predicts worse outcomes; absence or resolution of pericardial effusion with therapy suggests better prognosis. Its public health significance is the ability to identify patients that may benefit from closer follow-up for reassessment and consideration of more aggressive medical therapy or referral for lung transplant to prevent worsening health and/or death

Fabricated humans? Human genetics, ethics and the Christian wisdom tradition

This is a PDF version of an article published in Dialog© 2005. The definitive version is available at www.blackwell-synergy.com.This article discusses moral and ethical issues surrounding genetic screening and testing and argues that principles of Christian ethics and wisdom can guide this debate