Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Abstract In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generated in every second, and utilization of these data is a major concern to the stakeh...
Razan Paul, Abu Sayed Md. Latiful Hoque
Several studies show that background knowledge of a domain can improve the results of clustering algorithms. In this paper, we illustrate how to use the background knowledge of medical domain in clustering process to predict the likelihood of diseases. To find the likelihood of diseases, clustering ...
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
In today’s world, health data are being produced in ever\-increasing amounts due to extensive use of medical devices generating data in digital form. These data are stored in diverse formats at different health information systems. Medical practitioners and researchers can be benefited significantly...
Shahidul Islam Khan, Ariful Islam, Akther Hossen, Taiyeb Ibna Zahangir et al.
Mental disorders are a rising phenomenon in Bangladesh. This phenomenon has contributed to intensive psychological healthcare data. It may change into helpful information via data mining application. In Bangladesh, healthcare data is underutilized. There are fifteen million individuals enduring from...
Golam Md. Muradul Bashir, Abu Sayed Md. Latiful Hoque
Shibbir Ahmed, Rajshakhar Paul, Abu Sayed Md. Latiful Hoque
Discovering the hidden knowledge from large volume of educational data and applying it properly for decision making is essential for ensuring high quality education in any academic institution. This knowledge is extractable through data mining techniques. Association Rule Mining technique aims at di...
Md Raihan Mia, Abu Sayed Md. Latiful Hoque, Shahidul Islam Khan, Sheikh Iqbal Ahamed
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Health informatics is one of the top most focuses of researchers now a days. Availability of timely and accurate data is essential for informed medical decision making. Health care organizations face a common problem with large amount of data they have in numerous systems. Such systems are unstructu...
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Knowledge discovery from various health data repositories requires the incorporation of healthcare data from diversified sources. Maintaining record linkage during the integration of medical data is an important research issue. Researchers have given different solutions to this problem that are appl...
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Healthcare organizations in Bangladesh own a large amount of data in diverse health information systems. Potential and useful hidden knowledge can be discovered if integration of this huge medical data is performed in national level. The integration process requires linkage of patients' records amon...
Shahidul Islam Khan, Abu Sayed Md. Latiful Hoque
Discovering the hidden knowledge from different health data repositories requires the integration of health data from widely diversified sources. While integration, maintaining record linkage is a critical research issue for developing countries such as Bangladesh. Researchers have given different s...
Md Raihan Mia, Abu Sayed Md. Latiful Hoque
Problem Based e-learning(PBeL) in bangla language is one of the most progressing areas of the use of ICT in education. Question Bank(QB) is the main component of any PBeL system. Searching similarity in the complex structure of QB is a challenging task in the development of PBeL system. We have been...
Syed Ahmmed, M. Rubaiyat Hossain Mondal, Md Raihan Mia, Mohammad Adibuzzaman et al.
Standardizing clinical laboratory test results is critical for conducting clinical data science research and analysis. However, standardized data processing tools and guidelines are inadequate. In this paper, a novel approach for standardizing categorical test results based on supervised machine lea...
Golam Md. Muradul Bashir, Abu Sayed Md. Latiful Hoque, Bipul Chandra Dev Nath