A computational intelligence approach for predicting medical insurance cost
In the domains of computational and applied mathematics, soft computing, fuzzy logic, and
machine learning (ML) are well‐known research areas. ML is one of the computational …
machine learning (ML) are well‐known research areas. ML is one of the computational …
A systematic review of literature on sustaining decision-making in healthcare organizations amid imperfect information in the Big Data era
The significance of big data analytics (BDA) has benefited the health sector by leveraging
the potential insights and capabilities of big data in decision making. However, every …
the potential insights and capabilities of big data in decision making. However, every …
Applying Dempster–Shafer theory for develo** a flexible, accurate and interpretable classifier
Two approaches have traditionally been identified for develo** artificial intelligence
systems supporting decision-making: Machine Learning, which applies general techniques …
systems supporting decision-making: Machine Learning, which applies general techniques …
Predicting health care costs using evidence regression
People's health care cost prediction is nowadays a valuable tool to improve accountability in
health care. In this work, we study if an interpretable method can reach the performance of …
health care. In this work, we study if an interpretable method can reach the performance of …
Predicting stroke risk with an interpretable classifier
Predicting an individual's risk of getting a stroke has been a research subject for many
authors worldwide since it is a frequent illness and there is strong evidence that early …
authors worldwide since it is a frequent illness and there is strong evidence that early …
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
A rule-based expert system to assess coronary artery disease under uncertainty
The coronary artery disease (CAD) occurs from the narrowing and damaging of major blood
vessels or arteries. It has become the most life-threatening disease in the world, especially …
vessels or arteries. It has become the most life-threatening disease in the world, especially …
Forecasting key retail performance indicators using interpretable regression
Foot traffic, conversion rate, and total sales during a period of time may be considered to be
important indicators of store performance. Forecasting them may allow for business …
important indicators of store performance. Forecasting them may allow for business …
Penerapan Metode Perbandingan Dempster-Shafer dengan Certainty Factor pada Aplikasi Sistem Pakar Deteksi Dini Penyakit Alzheimer pada Lansia Berbasis Web
M Aldjawad, S Andryana… - Jurnal JTIK (Jurnal …, 2021 - journal.lembagakita.org
Alzheimer's is a dementia disease associated with changes in protein in the brain.
According to WHO, in 2010 there were 35.6 million people suffering from dementia. People …
According to WHO, in 2010 there were 35.6 million people suffering from dementia. People …
Expert System Detect Stroke with Dempster Shafer Method
DIG Hutasuhut, D Adhar, E Ginting… - 2018 6th International …, 2018 - ieeexplore.ieee.org
One of the many diseases experienced by Indonesians is stroke. Stroke is a condition that
occurs when blood supply to the brain is cut off due to blockage or rupture of blood vessels …
occurs when blood supply to the brain is cut off due to blockage or rupture of blood vessels …