With the widespread adoption of e‐Healthcare and telemedicine applications, accurate,
intelligent disease diagnosis systems have been profoundly coveted. In recent years …

Proses Readmisi dikaitkan dengan perhitungan kualitas penanganan pasien di rumah sakit.
Perbedaan atribut-atribut yang berhubungan dengan pasien diabetes proses medikasi …

In healthcare systems, there is huge medical data collected from many medical tests which
conducted in many domains. Much research has been done to generate knowledge from …

Medical records encompass entities representing patients' vital aspects. Whenever
incorporated, entities assist in building up a comprehensive diagnosis of the patient …

The aim of this study is to compare some classifiers' performance related to the tuples
amount. The different metrics of performance has been considered, such as: Accuracy …

AbstractThe purpose of this research is to investigate the effective factors in predicting the
academic performance of undergraduate students in the classification of four classes. To …

Scores of emerging and domain-specific applications need the ability to acquire and
augment new knowledge from offline training-sets and online user interactions. This …

Data segregation is a vital task to label the class of data. Attributes are part of knowledge
working in a math task. In this paper, we report the comparative study of various classifiers …

Learning by utilising well-known neural networks is a powerful and efficient way to address
classification problems on a specific set of new data. The well-known AlexNet convolution …

هدف این تحقیق بررسی عوامل موثر در پیش بینی عملکرد تحصیلی دانشجویان مقطع کارشناسی در
طبقه بندی چهار کلاسه می باشد. برای دستیابی به این هدف، مطالعه از روش داده کاوی کریسپ …‎