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Design and Implementation of Automated Medical Diagnosis and Therapy System
Content Structure of Design and Implementation of Automated Medical Diagnosis and Therapy System
The abstract contains the research problem, the objectives, methodology, results, and recommendations
- Chapter one of this thesis or project materials contains the background to the study, the research problem, the research questions, research objectives, research hypotheses, significance of the study, the scope of the study, organization of the study, and the operational definition of terms.
- Chapter two contains relevant literature on the issue under investigation. The chapter is divided into five parts which are the conceptual review, theoretical review, empirical review, conceptual framework, and gaps in research
- Chapter three contains the research design, study area, population, sample size and sampling technique, validity, reliability, source of data, operationalization of variables, research models, and data analysis method
- Chapter four contains the data analysis and the discussion of the findings
- Chapter five contains the summary of findings, conclusions, recommendations, contributions to knowledge, and recommendations for further studies.
- References: The references are in APA
- Questionnaire.
Abstract Of Design and Implementation of Automated Medical Diagnosis and Therapy System
The aim of this project work is to take a look at the development and the rapid growth of modern technology, especially computer technology in all fields of human endeavour. Medical diagnosis and therapy system involves the state of medical knowledge of a particular disease, patient history, examination diagnosis and therapy, it also involves the drug remedy for the patient. It also provide a systematic framework for history taking and physical examination of patient. They facilitate a knowledge bank and timely recall of accurate information about specific disease for the purpose of accurate diagnosis and therapy, also to provide standard procedures for health care delivery and evaluation.
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