###### Abstract  
Alzheimer's Disease is among the major chronic neurodegenerative diseases that affects more than 50 million people worldwide. This disease irreversibly destroys memory, cognition, and the overall daily activities which occur mainly among the elderly. Few drugs are approved for Alzheimer's Disease management despite its high prevalence. To date, the available drugs in the market cannot reverse the damage of neurons caused by the disease leading to the exacerbation of symptoms and possibly death. Medicinal plants are considered a rich source of chemical constituents and have been contributing to modern drug discovery in many therapeutic areas including cancer, infectious, cardiovascular, neurodegenerative and Central Nervous System (CNS) diseases. Moreover, essential oils that are extracted from plant organs have been reported for a wide array of biological activities, and their roles as antioxidants, antiaging, cytotoxic, anti-inflammatory, antimicrobial, and enzyme inhibitory activities. This article highlights the promising potential of plants' essential oils in the discovery of novel therapeutic options for Alzheimer's Disease and halting its progression. In this article, 428 compounds were reported from the essential oils isolated from 21 plants. A comparative study is carried out by employing a variety of machine learning techniques, validation, and evaluation metrics, to predict essential oils' efficacy against Alzheimer's Disease progression. Extensive experiments on essential oil data suggest that a prediction accuracy of up to 82% can be achieved given the proper data preprocessing, feature selection, and model configuration steps. This study underscores the potential of integrating machine learning with natural product research to prioritize and expedite the identification of bioactive essential oils that could lead to effective therapeutic interventions for Alzheimer's Disease. Further exploration and optimization of machine learning techniques could provide a robust platform for drug discovery and development, facilitating faster and more efficient screening of potential treatments. Alzheimer's disease treatments; essential oils; natural oils; data mining; prediction +
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have served as a structural pool for small molecular libraries to discover biologically active drugs [6]. Nowadays, natural products including medicinal plants have been considered as main targets in drug-discovery programs [7]. Plant essential oils are well known in traditional medicine as well as aromatherapy for the management of numerous diseases [8]. Essential oils are mixtures of various volatile chemical compounds and are extracted from different plant organs, such as roots, leaves, and fruits. Their biological activities have been studied and reported in the literature for decades and their popularity has only increased over time. Examples of such activities include antioxidants, antiaging, cytotoxic, anti-inflammatory, antimicrobial, and enzyme inhibitory activities [9; 10; 11]. Essential oils have also been reported as promising agents for the treatment of neurodegenerative diseases due to possessing strong free radical scavenging activity, and hence inhibition of oxidative stress in the body [12]. Alzheimer's Disease is considered to be the number one chronic neurodegenerative disease, that affects more than 50 million people worldwide [13]. Being a neurodegenerative disease, it slowly and irreversibly destroys memory, cognition, as well as the ability to perform daily activities, resulting in the requirement for full-time care, which occurs mainly among individuals over 65 [14]. Being the most common cause of dementia, Alzheimer's Disease is considered the third major death cause for the elderly, after cardiovascular diseases and cancer [15]. Despite the high prevalence of Alzheimer's Disease, only five drugs have been approved by the Food and Drug Administration (FDA) for its management, namely galantamine, rivastigmine, donepezil, mementine, and the combination of mementine and donepezil.