Sayma Alam Suha, Muhammad Nazrul Islam
Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and one of the primary causes of anovulatory infertility in women globally. The detection of multiple cysts using ovary ultrasonograpgy (USG) scans is one of the most reliable approach for making an accurate diagnosi...
Md. Mahbubur Rahman, Dipanjali Kundu, Sayma Alam Suha, Umme Raihan Siddiqi et al.
Predicting patient’s length of stay (LOS) is a crucial determinant for hospitals to maintain resource efficiency and quality treatment, where machine learning-based predictive approaches can be extremely beneficial. Though the healthcare industry’s increasing adoption of information technology has t...
Sayma Alam Suha, Tahsina Farah Sanam
Burns being one of the leading causes of clinically significant morbidity can lead to a dramatic physiological reaction with prolonged repercussions, metabolic disturbance, severe scarring, catastrophic organ failure, and death if not properly treated. Appropriate burn treatment management is associ...
Sayma Alam Suha, Tahsina Farah Sanam
Healthcare decision-making is a complicated aspect that requires collaboration among stakeholders, whilst ensuring its sustainability is essential for addressing the requirements of healthcare facilities. Artificial intelligence (AI) in healthcare decision-making based on clinical knowledge and data...
Sayma Alam Suha, Tahsina Farah Sanam
Predicting the length of stay (LOS) of patients can be incredibly useful for an efficient hospital resource management. Numerous hospitals worldwide are confronted with limited resources to accommodate hospitalized patients. By assuring optimized resource utilization, LOS forecasting can benefit all...
Sayma Alam Suha, M. Akhtaruzzaman, Tahsina Farah Sanam
One of the critical areas in the medical field is the burn treatment management that helps to rescue patient’s life by dramatically minimizing the after-burn progression and severity. Initial acute burn treatment involves intravenous fluid resuscitation, which must be administered meticulously to re...
Adnan Sharif, Fahim Anzum, Ashratuz Zavin, Sayma Alam Suha et al.
Augmented Reality (AR) is one of the emerging advanced technologies which bridges the gap between the real and the virtual worlds, that gives students prodigious possibilities to learn the information in a completely unique way. With the rising use of personal smart devices in this modern era, the v...
Mohammad R. Islam, Md. Durul Hoda, Md. Abdur Rashid, Sayma Alam Suha et al.
Heart disease is one of the most fatal chronic diseases which involves physicians evaluating a variety of clinical and metabolic patient symptoms for life-saving decisions. An intelligent computer-aided heart disease prediction method can be an excellent decision support system for physicians compar...
M. Abdul Goffar Khan, Farzana Nila, Nafisa Tabasaum, Sayma Alam Suha et al.
Polycystic Ovarian Syndrome (PCOS) has become the most common hormonal disease in women who are in their reproductive age. PCOS in women affects the reproductive organs that generate the hormones progesterone and estrogen, which regulate the menstrual cycle. Although there are not that many symptoms...
Muhammad Nazrul Islam, Ashratuz Zavin, Sanjana Srabanti, Chowdhury Nawrin Ferdous et al.
A noticeable number of people living in extreme poverty still remain high in Bangladesh. It is becoming challenging for the poor or low-income people to pay for their health purpose. Thus they suffered from various diseases and as a result the death rate is increasing day by day. On the other hand, ...
Mamun Ahmed, Sayma Alam Suha, Fahamida Hossain Mahi, Forhad Uddin Ahmed
Since entering the market in 2009, Bitcoin has had a price that is extremely erratic. Its price is influenced by factors such as adoption rates, regulatory changes, geopolitical occurrences, and macroeconomic developments. Experts believe that Bitcoin's price will rise in the long run due to limited...
Golam Ali, G. M. Abdullah Al-Kafi, Jannateen Tajree Faiza, Md Iztahadul Hoque et al.
Early prediction of in-hospital mortality in Intensive Care Unit (ICU) patients is crucial for optimizing resource allocation, informing prognosis discussions, and guiding treat-ment decisions. While conventional systems exist, they often lack precision and struggle to handle complex, multidimension...
Sayma Alam Suha, Tahsina Farah Sanam
The Industry 4.0 is a contemporary trend in industrial product manufacturing that involves the convergence of numerous emerging technologies in order to increase productivity in smart way. Meanwhile, through the development of autonomous manufacturing processes for various industrial sectors, intell...
Sadia Tuly, Shatabdi Majumder, Atoshi Chowdhury, A K M Rubaiyat Reza Habib et al.
High incidence and mortality rates of cardiovascular diseases elevated them to the position of a major global public health challenge.Machine learning in predictive modeling became imperative for identifying those at risk of cardiac disease based on a host of factors, given the recent emergence of d...
Shawlin Shadat Aishee, Sayma Khorshed Chowdhury, Fariha Mahmud, Sayma Alam Suha
Throughout the past several decades, cardiac illnesses have been the leading cause fatalities worldwide and have become the condition that poses the greatest threat to survival. An intelligent computer-aided early prediction system may be a good alternative than relying on labor and cost intensive m...