AD causes the loss of memory, reasoning, and cognitive functions, and all sense of self seems to disappear 2. The main feature of AD is that the accumulation of these plaques in the brain causes the loss of connections between nerve cells. She was suffering from language problems and memory loss. Alois Alzheimer observed and found numerous amyloid plaques and tangled bundles of tau proteins in the brain of a deceased woman. Similar content being viewed by othersĪlzheimer’s disease (AD) 1, as a progressive mental and neurological disorder, was discovered in 1906 when Dr. The proposed system has indicated the possibility of the system to diagnose AD with an accuracy of 97.2%, 95.4%, 94.8%, 93.1%, and 96.3% for AD, LMCI, EMCI, SMC, and CN respectively. A real-world case study, ADNI, is presented involving the field of Alzheimer’s disease (AD). In complications and symptoms, ontological semantic reasoning improves the process of evaluating rules in terms of interpretability, dynamism, and intelligence. It promotes fuzzy reasoning and handles knowledge representation problems. We attempt to integrate ontology semantics reasoning and fuzzy inference. In this case, although the accuracy of the diagnosis is very high, can these decisions be considered an early diagnosis or prove the condition is deteriorating? Our contribution in this paper is to present a real medical diagnostic system based on semantics, fuzzy, and dynamic decision rules. Depending on the circumstances, the diagnosis is made solo on imaging and some medical tests. This negatively affects early diagnosis decision-making. ![]() It is important that we deal with these symptoms differently, which have a great relationship with semantics, vary widely, and have linguistic information. Symptoms represent a high-impact indicator for early detection. ![]() It includes symptoms, patient history, demographic, treatment, genetics, biochemistry, and imaging. Third, criteria for diagnosis are often heterogeneous and changeable. It increases realism and medical progress and avoids isolated systems and the difficulty of data exchange, analysis, and interpretation. ![]() Secondly, medical terminological interoperability is highly critical. It leads to decisions that lack adaptive flexibility when finding new circumstances. First, the diagnosis rules established by medical experts or learned from a trained dataset prove static and too general. However, some limitations are not fully overcome. The challenge of making flexible, standard, and early medical diagnoses is significant.
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