The prediction of heart disease is one the areas where machine learning can be implemented.Optimization algorithms have advantage dealing with complex non-linear problems a good flexibility and adaptability.In this paper, we exploited Fast Correlation-Based Feature Selection (FCBF) method to filter redundant features in order improve quality classification.Then, perform classification based on different such as K-Nearest Neighbour, Support Vector Machine, Naïve Bayes, Random Forest...

Breast cancer is one of the most common cancers among women in world, accounting for majority new cases and cancer-related deaths according to global statistics, making it a significant public health problem today's society. In this paper, we will present an overview evolution large data system, apply four learning algorithms breast set. The aim research work predict cancer, which second leading cause death worldwide, with early detection prevention can dramatically reduce risk death, using...

The continuous growth of the internet has given rise to an overwhelming mass learning materials. Which increased demand for a recommendation system filter information and deliver materials that fit learners context. In this paper, we propose architecture semantic web based recommender system. proposed is redesigned classical 3-tiers application with additional layer. This layer holds two subsystems: Ontology-based subsystem SWRL (Semantic Web Rule Language) rules one. Ontology used as...

We report the unprecedented case of a patient presenting with trifocal femoral fracture associated central hip dislocation resulting from high-energy trauma. This combination injuries, never described before in literature, highlights complexity combined Management required surgical reduction and internal fixation, followed by progressive rehabilitation. underscores diagnostic therapeutic challenges these rare injuries emphasizes importance multidisciplinary approach to optimize functional outcomes.

Background The Teacher Stress Inventory (TSI) is an instrument for assessing the multifaceted stressors experienced by educators. However, its original English format necessitates cultural adaptation to ensure relevance Arabic-speaking contexts. Aim This study aimed validate TSI in Arabic Tunisian teachers, psychometric properties, including factorial structure, internal reliability, construct validity, and sensitivity. Methods We used back-translation version of (TSI-A). collected data from...

Breast cancer is mostly a female disease, but it may affect men as well even at considerably lower percentage. An automated diagnosis system should be built for early detection because manual breast takes long time. Doctors have lately achieved significant advances in the identification and treatment of order to decrease rate mortality caused by latter. Researchers, on other hand, are analysing large amounts complicated medical data employing combination statistical machine learning...

Breast cancer is the first female responsible for high mortality worldwide. Despite progress that has made it possible to better understand mechanisms of development, causes breast are currently unknown. Nevertheless, studies have identified some risk factors promote and a healthy lifestyle can reduce risk. In Morocco, in women. It represents 34.3% all cancers. this work, Fast Correlation-Based Feature selection (FCBF) method used filter irrelevant redundant characteristics order improve...

Coronavirus (covid 19) is one of the most dangerous viruses that have spread all over world. With increasing number cases infected with coronavirus, it has become necessary to address this epidemic by available means. Detection covid-19 currently world's difficult challenges. Data science and machine learning (ML), for example, can aid in battle against pandemic. Furthermore, various research published direction proves ML techniques identify illness viral infections more precisely, allowing...

Smart healthcare is the service that offers health-related information and contents to patients assistants without any limitations of time space. In this paper, we develop a semantic smart interconnected based system which combines web with cloud computing enable visualization, transmission sharing medical records reports via real data collection modeling through ontology.

In this paper, an efficient approach for the recognition of online Arabic handwritten characters is presented.The method employed involves three phases: First, pre-processing in which original image transformed into a binary .Second , training neural networks with feed-forward back propagation algorithm .Finally, character through use Neural Network techniques.The proposed tested on 1400 different written by ten users.Each user wrote 28 five times order to get writing variations.Experiment...

Tourism is one of the leading contributors to service industry in Malaysia and gradually growing. The growth this brings impact towards environment, specifically islands. This study views into tourists' perception on tourism activities, development infrastructure environment Perhentian Islands. A total number 258 questionnaires were distributed tourists Islands which a popular tourist island destination Malaysia. results indicate that there significant moderate high level agreement are...

Cardiovascular disease is one of the chronic diseases that on rise. The complications occur when cardiovascular not discovered early and correctly diagnosed at right time. Various machine learning approaches, including ontology-based Machine Learning techniques, have lately played an essential role in medical science by building automated system can identify heart illness. This paper compares reviews most prominent algorithms, as well classification. Random Forest, Logistic regression,...

Smart tourism concept appeared with the development of Cities. Bringing Smartness into Tourism needs a dynamic and interconnected system on which information relating to activities could be exchanged in real time. In this paper, we introduce new approach for designing mobile recommendation using context awareness. The proposed combines Internet Things (IoT) technologies semantic web services predict tourist real-time provide suitable services.

In software modeling, UML (Unified modeling language) receives increasing attention from designers of real-time systems in development. The emergence temporal database calls for new visual and efficient techniques to facilitate the design objects. Even though is not currently equipped manage this task, extended extension offered limited means express time-varying data constraints over dynamic behavior Therefore, object constraint language (OCL) plays an important role elaboration correct...

NoSQL databases are designed to solve data processing problems in volume. Growth today pushes us think about new concepts and approaches for converting from a source database database. This paper describes some approaches, methods of migration, reverse engineering, offers migration approach relational Document-oriented (MongoDB). The based on the achievement model, which we proceed schema mapping, while ensuring integrity constraints between collections.

Monkeypox is a rare infectious viral disease that occurs due to particular virus may be transferred from infected animals other humans or even between people themselves. This characterized by several symptoms similar those observed in patients with original smallpox, but less severe. In 2022 the World Health Organization (WHO) proclaimed this illness as worldwide emergency public health issue, and consequence of its propagation countries world beyond borders western central Africa. most...

Breast cancer constitutes a significant threat to women's health worldwide. The World Health Organization (WHO) reports around 2.3 million new cases each year, making this disease the primary reason for cancer-related fatalities among women. In light of alarming situation, developing innovative tools early detection and optimal treatment is imperative, as it directly addresses pressing need enhance our capabilities in quest overcome breast cancer. This study fits with approach, introducing...

Key value databases are highly adopted to provide quick access information that has an associative tabular function, for role return unstructured values. When you first look at the performance of a database, memory processing is ultimate solution latency. The birth this approach migration relational database towards key Redis derived from improvement. entire based on extraction data and its injection into following methods communicate with both databases. done automatically without...