{"id":7338,"date":"2022-11-21T04:34:12","date_gmt":"2022-11-21T04:34:12","guid":{"rendered":"https:\/\/file.currentschoolnews.com\/?post_type=product&p=7338"},"modified":"2022-11-21T13:29:59","modified_gmt":"2022-11-21T13:29:59","slug":"computerisation-of-medical-diagnosis-information-system","status":"publish","type":"product","link":"https:\/\/pastexamquestions.com\/product\/computerisation-of-medical-diagnosis-information-system\/","title":{"rendered":"Computerisation Of Medical Diagnosis Information System"},"content":{"rendered":"

– Computerisation Of Medical Diagnosis Information System –<\/strong><\/span><\/p>\n

Download Computerisation Of Medical Diagnosis Information System<\/strong><\/span>. Computer Science students who are writing their projects can get this material to aid their research work.<\/span><\/span><\/p>\n

Abstract<\/b><\/span><\/h2>\n

This project is a computer-based application that can help medical practitioners<\/em> in documenting diagnosis<\/em> records and patients’ medical history in a well-protected and structured database-oriented program.<\/p>\n

Among the objectives of this application<\/em> is to solve the problems that are usually encountered in many hospitals and medical centers<\/em> in relation to the diagnosis of diseases.<\/em><\/p>\n

Therefore, some of the high cost and complex procedures that are formally used before in diagnostic mechanisms are hoped to be simplified and subsidized with the implementation of the computer-based<\/em> system for medical diagnosis.<\/em><\/p>\n

The program for this project was developed with visual basic 6.0 and Microsoft Access<\/em> database used as a backend for keeping users\u2019 input.<\/p>\n

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Introduction<\/span><\/span><\/strong><\/span><\/h2>\n

The diagnostic proficiency of general practitioners concerning convulsive and psychomotor disorders of epileptic origin is usually poor, particularly in developing countries.<\/p>\n

Thus, in order to provide a decision and learning tool for these cases, we have developed a computer program to automatically evaluate and classify patients with potentially epileptic episodes.<\/p>\n

The program combines forward and backward-chaining techniques, first to present relevant questions about the patient to the attending physician; following this it tries to ascertain whether the episode is of epileptic origin. Later on, it proposes one or more feasible classifications for the episode, using uncertainty factors. (Wood, 1992).<\/p>\n

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How to Download this Project Material<\/strong><\/span><\/h2>\n

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