Development of a Predictive Analytic System for Chronic Kidney Disease using Ensemble-based Machine Learning

A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques

“…ML systems incorporated with big data analytics help to find previously unidentified patterns, stimulating the decision-making procedure where computers are trained to predict or make decision in the same way to humans [17] , [18] . With the massive expansion of data in healthcare sector, ML is widely employed to analyze electronic health records (EHR) or patient data and create effective clinical decision support systems for different illness diagnosis or forecasting [19] , [20] . ML techniques are applied to detect various kinds of critical diseases autonomously such as, cardiac anomalies [21] , mode of childbirth [22] , [23] , diabetes detection [24] , [25] , Alzheimer's disease diagnosis [26] etc.…”

Development of a Smart Hospital Bed Based on Deep Learning to Monitor Patient Conditions

“…The underlying foundation for the algorithms that are employed in this system is deep learning, and hence the effectiveness and precision of the functioning of the system in real time have been improved. There have been several different digital systems created to provide medical treatment to those who are unable to care for themselves due to illness or disability and those in advanced years (Lakkis and Elshakankiri, 2017;Khan et al, 2018;Hossain et al, 2019;Hasan et al, 2021;Islam et al, 2021). In Kanase and Gaikwad (2016), the authors suggested using a cloudbased approach that uses a variety of sensory data.…”