Medical Expert Systems Demos
This page features some VisiRule medical expert systems demos which contain a mixture of text, logic, formulae, algorithms, calculations, explanations, definitions, links and graphics. The demos are presented as page-based web apps and some are also available as Medical ChatBots using the same VisiRule chart.
Medical knowledge is well suited to VisiRule as visual models offer a transparent way of presenting and defining medical diagnosis and treatment protocols. VisiRule contains an easy-to-use authoring tool to help create systems. Many solutions can be transparently represented as decision trees or flow charts. Data from connected devices can be accessed.
Medical Expert Systems
Medical expert systems provide a way of sharing specialist expert knowledge with a wide audience. Medical Expert Systems aren't new; Edward H. Shortliffe wrote an excellent paper in 1986 about what had already achieved by then entitled Medical Expert Systems - Knowledge Tools for Physicians.
VisiRule Medical Expert System Building
VisiRule now offers a way for medical experts themselves, without the need for computer scientists, to capture and automate medical knowledge and make it directly accessible, 24x7 on mobile devices, to citizens who maybe lack direct access to healthcare professionals.
Expert System Software solutions have been around for many years and provide a rules-based approach to knowledge capture and execution. Modern technology, aka MedTech, can enable medical knowledge to be commoditized and offered to a wide audience.
VisiRule can be used to build Health & Wellness advisory systems which can advise and guide people as to how to improve their health using the expertise of medical experts.
WoundCare Expert System
WoundCare is an expert system that helps you find the right dressing for your patient's wound. The system is composed of 4 sections:
Patient Relevant Information;
Other Relevant Interventions.
The work is based on research by, and created by, Dr Dillon Chrimes, School of Health Information Science, University of Victoria
Decision-Support Expert System to Assess Severe COVID-19
The novel coronavirus disease (COVID-19) presents an important and urgent threat to global health. There are many deaths due to COVID-19 in many countries and this is despite public health responses aimed at containing the disease and delaying the spread. The importance of COVID-19 and its manifestations biologically interacting with human pathophysiological responses is not totally known in the field of medicine. One way to visualize and understand the complexity of the biological formations of COVID-19, and its ability to invade cytoplasm in cells that then exacerbates underlying comorbidities towards severe cases and high mortality, is to use decision tree models. In this demo, a decision tree was conceptualized and built using VisiRule with the goal to incorporate the complexity of human respiratory and cardiovascular conditions underpinned by manifestations of inflammation and immune deficiencies with the invasive COVID-19 virus.
Tumour, Node and Metastasis (TNM) staging
The stage of a cancer tells you how big it is and whether it has spread. Knowing the stage helps your doctor decide which treatment you need.
Your scans and tests will give some information about the stage of your cancer. But your doctor might not be able to tell you the exact stage until after you have surgery.
The TNM staging system is the most common way for doctors to stage non small cell lung cancer. And it is sometimes used for small cell lung cancer.
Detecting peptidases and their specific inhibitors at the genome level.
The decision-tree can reliably classify protein sequences as peptidases or inhibitors, belonging to a certain class, and can provide a comprehensive list of possible interacting pairs of peptidase/inhibitor. This information can help the design of experiments to detect interacting peptidase-inhibitor complexes and can speed up the selection of possible interacting candidates, without searching for them separately and manually combining the obtained results.
CFIA's operational sampling program for Listeria monocytogenes.
The three sampling flowcharts described are:
CFIA's operational sampling program for Listeria monocytogenes to be followed in federally registered meat establishments,
CFIA's operational sampling program for Listeria monocytogenes to be followed in non-federally registered meat establishments,
An excerpt from the FSIS USDA May 1999 Policy, describing the Listeria monocytogenes sampling flowchart recommended to its industry.
Evaluation and Treatment of Pneumonia
Empiric antibiotics for pneumonia in the Emergency Department is complex, and the choice only gets harder when it’s 3:00 am with 15 patients in the lobby. Fear not, the Suspected Pneumonia Protocol is here to help.
Approach to Articular and Musculoskeletal Disorders
The goal of the musculoskeletal evaluation is to formulate a differential diagnosis that leads to an accurate diagnosis and timely therapy, while avoiding excessive diagnostic testing and unnecessary treatment.
The Harris–Benedict equation (also called the Harris-Benedict principle) is a method used to estimate an individual's basal metabolic rate (BMR). The estimated BMR value may be multiplied by a number that corresponds to the individual's activity level; the resulting number is the approximate daily kilocalorie intake to maintain current body weight.
The Harris–Benedict equation may be used to assist weight loss — by reducing kilocalorie intake number below the estimated maintenance intake of the equation.
The acutely swollen joint
Joint swelling is a common feature in many conditions that affect children
History, examination, and tailored investigations will help to differentiate serious from benign causes
Read all about the swollen joint guideline here
Persistent Cough in Children
Young children develop 6-12 respiratory tract infections per year, usually accompanied by cough. In most children, the cough is self-limiting (1-3 weeks), but it is sometimes prolonged and one needs to consider other causes.
Read all about the cough clinical guidelines here