Abstract Background Cardiovascular disease is the leading cause of death in many countries. Physicians often diagnose cardiovascular based on current clinical tests and previous experience diagnosing patients with similar symptoms. Patients who suffer from heart require quick diagnosis, early treatment constant observations. To address their needs, data mining approaches have been used past predicting diseases. Previous research was also focused identifying significant contributing features...

The Myers-Briggs Type Indicator (MBTI) is a well-known personality test that assigns type to user by using four traits dichotomies. For many years, people have used MBTI as an instrument develop self-awareness and guide their personal decisions. Previous researches good successes in predicting Extraversion-Introversion (E/I), Sensing-Intuition (S/N) Thinking-Feeling (T/F) dichotomies from textual data but struggled do so with Judging-Perceiving (J/P) dichotomy. J/P dichotomy non-separable...

Information and Communication Technologies fueled social networking facilitated communication. However, cyberbullying on the platform had detrimental ramifications. The user-dependent mechanisms like reporting, blocking, removing bullying posts online is manual ineffective. Bag-of-words text representation without metadata limited post classification. This research developed an automatic system for detection with two approaches: Conventional Machine Learning Transfer Learning. adopted AMiCA...

Online social networks (OSNs) portray a multi-layer of interactions through which users become friend, information is propagated, ideas are shared, and interaction constructed within an OSN. Identifying the most influential spreaders in network significant step towards improving use existing resources to speed up spread for application such as viral marketing or hindering like virus blocking rumor restraint. Users communications facilitated by OSNs could confront temporal spatial limitations...

The selection of a meta-learner determines the success stacked ensemble as is responsible for final predictions ensemble. Unfortunately, in imbalanced classification, selecting an appropriate and well-performing not straightforward different meta-learners are advocated by researchers. To investigate identify type experiment consisting 19 was conducted, detailed this paper. Among ensembles, new weighted combination-based that maximizes H-measure during training first introduced implemented...

Social network like Twitter is a communication channel that can enable users to broadcast their information, activities, and opinion through brief text updates. Suicide serious mental health problem demands our attention, control prevent it not an easy task. With the high rate of people dying from suicide, speed information disseminated should be advantage make good use in order detect sign suicide faster way. detection on system any suicide-related words Twitter. Besides, this aimed timely...

Consumers nowadays rely heavily on online reviews in making their purchase decisions. However, they are often overwhelmed by the mass amount of product that being generated platforms. Therefore, it is deemed essential to determine helpful reviews, as will significantly reduce number each consumer has ponder. A review identified a if significant information helps reader decision. Many posted lacking sufficient used decision-making process. Past research neglected much useful can be utilized...

Dengue fever is a widespread viral disease and one of the world's major pandemic vector-borne infections, causing serious hazard to humanity. The World Health Organisation (WHO) reported that incidence dengue has increased dramatically across world in recent decades. WHO currently estimates an annual 50-100 million infections worldwide. To date, no tested vaccine or treatment available stop prevent fever. Thus, importance predicting outbreaks significant. current issue should be addressed...

The COVID-19 pandemic has rerouted the healthcare ecosystem by accelerating digital health, and rapid adoption of eHealth is partly influenced literacy (eHL). This study aims to examine patients' eHL in relation their "technology readiness"-an innate attitude that underexplored clinical research. A total 276 adult inpatients with hypertension, diabetes mellitus, coronary heart disease were surveyed cross-sectionally 2019 using self-reported questionnaires: Literacy Scale Technology Readiness...

Opinion mining is gaining significant research interest, as it directly and indirectly provides a better avenue for understanding customers, their sentiments toward service or product, purchasing decisions. However, extracting every opinion feature from unstructured customer review documents challenging, especially since these reviews are often written in native languages contain grammatical spelling errors. Moreover, existing pattern rules frequently exclude features words that not strictly...

Rapid transit is one of Malaysia's most important transportation modes, where commuters use public to travel. Any disruption in the rapid service affects their daily routines. Therefore, detecting such has become fundamental. In this study, was assessed using English and Manglish (a combination Malay) tweets through Latent Dirichlet Allocation (LDA). The gathered were classified into event non-event LDA applied tweets. pre-processed proposed term standardisation technique. As a result,...

Computer science is in the more challenging era due to digital growth and demand that we are facing today. A typical IR system will not go far enough as it uses keyword order retrieve desired information. On other hand, natural language question answering which based on logic retrieval have proven perform better than methods. The most important component of lexicon. Researchers identified this backbone any NLP system. In paper present our approach how an automatic lexicon generator has been...

Facebook is one of the most popular social media sites that has become part our lives. User-generated data are useful and can be used to gauge personality. However, previous studies did not use for personality assessment mapping professional purposes. The current study mainly aims identify features using user-generated content in Facebook. A computational score created a model developed by utilizing these scores job recommendations match user. benchmarked against Big Five Inventory (BFI)...