Pronab Ghosh, Sami Azam, Mirjam Jonkman, Asif Karim et al.
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using machine learning models is a promising approach. We would like to propose a mod...
Shadman Nashif, Md. Rakib Raihan, Md. Rasedul Islam, Mohammad Hasan Imam
Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection ...
Umarani Nagavelli, Debabrata Samanta, Partha Chakraborty
At present, a multifaceted clinical disease known as heart failure disease can affect a greater number of people in the world. In the early stages, to evaluate and diagnose the disease of heart failure, cardiac centers and hospitals are heavily based on ECG. The ECG can be considered as a regular to...
Mohammad Shahadat Hossain, Saifur Rahaman, Rashed Mustafa, Karl Andersson
Acute coronary syndrome (ACS) is responsible for the obstruction of coronary arteries, resulting in the loss of lives. The onset of ACS can be determined by looking at the various signs and symptoms of a patient. However, the accuracy of ACS determination is often put into question since there exist...
Emrana Kabir Hashi, Md. Shahid Uz Zaman
Machine learning techniques are widely used in healthcare sectors to predict fatal diseases. The objective of this research was to develop and compare the performance of the traditional system with the proposed system that predicts the heart disease implementing the Logistic regression, K-nearest ne...
S. Sadasivan
OBJECTIVES: Although health technology assessment (HTA) has been well established in all developed countries, it has not found a firm footing in many developing countries. This is especially true of the Asia Pacific region, which has much of the world population. METHODS: The beginnings of HTA in th...
Mihir Tejanshu Shah, Manjul Joshipura, J. F. Singleton, Paul LaBarre et al.
BACKGROUND: We sought to assess the status of availability of technology for trauma care in a state in India and to identify factors contributing to both adequate levels of availability and to deficiencies. We also sought to identify potential solutions to deficiencies in terms of health system mana...
Mohiuddin Ahmed, Nafis Ahmad
Flange tube, Glass shell, Lead in Wire (LIW), Filament (Coil) and Cap are the most important raw materials in case of Lamp Production Process. Manufacturing processes tend to produce operational wastages due to various reasons, which can be reduced by identifying and eliminating those reasons. It ha...
M. Rabiul Ahasan
Many manual labourers in Bangladesh are involved with metal-handling tasks that are both physically demanding and stressful. The metal workers have been significantly exposed to prolonged hammering and cutting activities in excessive noise and with awkward body postures. Moreover, stressors from hea...
Al-Zadid Sultan Bin Habib, Tanpia Tasnim, Md Muktadir Billah
In today's world, a gigantic measure of information is generated in the medicinal services industry. In most cases, this information is underutilized and is not constantly made use to the full degree. Utilizing this gigantic measure of information, certain types of disease can be identified, anticip...
Saifur Rahaman, Mohammad Shahadat Hossain
A Clinical Decision Support System (CDSS) to assess suspicion of a disease would avoid unnecessary cost of medical diagnosis. Heart Failure (HF) is a complex clinical syndrome of cardiac disorder. In the present paper, a Belief rule based (BRB) CDSS has been proposed to assess suspicion of HF by usi...
Haonan Qi, Zhipeng Zhou, Javier Irizarry, Xiaopeng Deng et al.
Purpose This study aims to modify the human factors analysis and classification system (HFACS) to make it suitable for collapse accident analysis in construction. Based upon the modified HFACS, distribution patterns of causal factors across multiple levels were discerned among causal factors of vari...
Tiffany I. Leung, Andrew J. Coristine, Arriel Benis
Unlabelled: The administrative burden of clinical documentation contributes to health care practitioner burnout and diverts valuable time away from direct patient care. Ambient artificial intelligence (AI) scribes-also called "digital scribes" or "AI scribes"-are emerging as a promising solution, gi...
Tanvir Ahmed, salih ali, M.M Allama, Md. Shohel Parvez
Total Productive Maintenance (TPM) is a manufacturing program whose sole purpose is to maximize the effectiveness of equipment throughout its entire life by the participation and motivation of the entire workforce. The three main objectives of TPM are zero defects, zero breakdowns and zero accidents...
Aiman Lameesa, Mahfara Hoque, Md. Sakib Bin Alam, Shams Forruque Ahmed et al.
Abstract Metaheuristic algorithms have emerged in recent years as effective computational tools for addressing complex optimization problems in many areas, including healthcare. These algorithms can efficiently search through large solution spaces and locate optimal or near-optimal responses to comp...