Hassan Najadat
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View article: Resampling methods for class imbalance in clinical prediction models: A scoping review protocol
Resampling methods for class imbalance in clinical prediction models: A scoping review protocol Open
Introduction Class imbalance—where clinically important “positive” cases make up less than 30% of the dataset—systematically reduces the sensitivity and fairness of medical prediction models. Although data-level techniques, such as random …
View article: Resampling Methods for Class Imbalance in Clinical Prediction Models: A Systematic Review and Meta-Regression Protocol
Resampling Methods for Class Imbalance in Clinical Prediction Models: A Systematic Review and Meta-Regression Protocol Open
Introduction Class imbalance—situations where clinically important “positive” cases form <30 % of the dataset—systematically degrades the sensitivity and fairness of medical prediction models. Although data-level techniques such as random …
View article: Protocol for a Scoped Systematic Review and Meta-Regression of Resampling Methods in Imbalanced Medical Datasets: Data-Level and Algorithm-Level Strategies in Clinical Prediction Models
Protocol for a Scoped Systematic Review and Meta-Regression of Resampling Methods in Imbalanced Medical Datasets: Data-Level and Algorithm-Level Strategies in Clinical Prediction Models Open
View article: Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms Open
It is difficult to predict the effect of drugs on the individuals, as its results are unpredictable and most often dangerous. For a police purpose that concerned with the protection of individuals, the problem of predicting drug abusing is…
View article: Overview of convolutional neural networks architectures for brain tumor segmentation
Overview of convolutional neural networks architectures for brain tumor segmentation Open
Due to the paramount importance of the medical field in the lives of people, researchers and experts exploited advancements in computer techniques to solve many diagnostic and analytical medical problems. Brain tumor diagnosis is one…
View article: Malware Classification Approaches Utilizing Binary and Text Embedding of Permissions
Malware Classification Approaches Utilizing Binary and Text Embedding of Permissions Open
The development of mobile applications is rapidly increasing with the advances in smartphone technology. These applications are intended to assist mobile users in accomplishing various daily tasks including e-commerce and online services. …
View article: Fake news detection for Arabic headlines-articles news data using deep learning
Fake news detection for Arabic headlines-articles news data using deep learning Open
Fake news has become increasingly prevalent in recent years. The evolution of social websites has spurred the expansion of fake news causing it to a mixture with truthful information. English fake news detection had the largest share of st…
View article: Sentiment Analysis of Arabic Tweets about Violence Against Women using Machine Learning
Sentiment Analysis of Arabic Tweets about Violence Against Women using Machine Learning Open
Social Media platforms, such as Twitter become a significant pulse of smart societies that are shaping our communities by sensing people’s information and perceptions across living areas over space and time. Social media sentiment analysis…
View article: A New Approach for Detecting Eosinophils in the Gastrointestinal Tract and Diagnosing Eosinophilic Colitis
A New Approach for Detecting Eosinophils in the Gastrointestinal Tract and Diagnosing Eosinophilic Colitis Open
Eosinophilic Gastrointestinal Diseases (EGIDs) represent a rare group of disorders that can have various clinical presentations dependent on the involved segment within the gastrointestinal tract.Eosinophilic Colitis is considered as an un…
View article: A review of website evaluation using web diagnostic tools and data envelopment analysis
A review of website evaluation using web diagnostic tools and data envelopment analysis Open
This paper presents a review of the most recently published works of the use of data envelopment analysis (DEA) in the evaluation of websites of different fields such as healthcare, e-business, e-commerce, and e-government. The evaluation …
View article: Performance Evaluation of Industrial Firms Using DEA and DECORATE Ensemble Method
Performance Evaluation of Industrial Firms Using DEA and DECORATE Ensemble Method Open
This study introduces an approach of combining Data Envelopment Analysis (DEA) and ensemble Methods in order to classify and predict the efficiency of Decision Making Units (DMU). The approach includes applying DEA in the first stage to co…
View article: ICICS 2020 Table of Contents
ICICS 2020 Table of Contents Open
View article: Associative classification of the Jordanian hospitals efficiency based on DEA
Associative classification of the Jordanian hospitals efficiency based on DEA Open
Data envelopment analysis (DEA) has been widely used in many fields. Recently, it has been adopted by the healthcare sector to improve efficiency and performance of the healthcare organisations, and thus, reducing overall costs and increas…
View article: AN ADAPTIVE ROLE-BASED ACCESS CONTROL APPROACH FOR CLOUD E-HEALTH SYSTEMS
AN ADAPTIVE ROLE-BASED ACCESS CONTROL APPROACH FOR CLOUD E-HEALTH SYSTEMS Open
Securing and protecting electronic medical records (EMR) stored in a cloud is one of the most critical issues in e-health systems. Many approaches with different security objectives have been developed to adapt this important issue.This pa…
View article: INDEX-BASED JOIN IN MAPREDUCE USING HADOOP MAPFILES
INDEX-BASED JOIN IN MAPREDUCE USING HADOOP MAPFILES Open
Map Reduce stays an important method that deals with semi-structured or unstructured big data files, however, querying data mostly needs a Join procedure to accumulate the desired result from multiple huge files. Indexing in another hand, …
View article: SURVEY OF SIMILARITY JOIN ALGORITHMS BASED ON MAPREDUCE
SURVEY OF SIMILARITY JOIN ALGORITHMS BASED ON MAPREDUCE Open
Similarity Join is a data processing and analysis operation that retrieves all data pairs whose their distance is less than a pre-defined threshold. The similarity join algorithms are used in different real world applications such as findi…
View article: A MODEL FOR MANAGING MEDICAL IMAGE DATA ON THE CLOUD
A MODEL FOR MANAGING MEDICAL IMAGE DATA ON THE CLOUD Open
Due to the increasing demand on Hospital Information System (HIS) resources and the high cost of constructing independent information platform especially for medium to small hospitals, large scale clusters which are based on cloud computin…