Heart disease diagnosis using data mining technique

S Babu, EM Vivek, KP Famina, K Fida… - 2017 international …, 2017 - ieeexplore.ieee.org
Data mining is an advanced technology, which is the process of discovering actionable
information from large set of data, which is used to analyze large volumes of data and …

[PDF][PDF] Detecting and diagnosing a disease by patient monitoring system

A Chaudhary, P Garg - International Journal of Mechanical …, 2014 - researchgate.net
Data mining is a phenomenon which is used to analyze large volumes of data and extracts
patterns that can be converted to useful knowledge. The data mining techniques can be …

Knowledge discovery from healthcare electronic records for sustainable environment

NA Mahoto, A Shaikh, MS Al Reshan, MA Memon… - Sustainability, 2021 - mdpi.com
The medical history of a patient is an essential piece of information in healthcare agencies,
which keep records of patients. Due to the fact that each person may have different medical …

Developing an Integrated Model for Heart Disease Diagnosis (IM-HDD) using ensemble classification methods

P Mohammed, S Jabeen Begum - Journal of Intelligent & …, 2022 - content.iospress.com
Abstract In present scenario, Heart Disease has become the vital cause of mortality and
diagnosis of heart diseases is a great confrontation in the field of medical data analysis …

Biomedical data mining for improved clinical diagnosis

G Nalinipriya, M Geetha, R Cristin, B Maram - Artificial Intelligence in Data …, 2021 - Elsevier
Biomedical data mining has been paid great attention to exploring the hidden patterns in the
database of the medical domain. These patterns are widely utilized in the field of clinical …

[PDF][PDF] Penerapan Data Mining Apriori Pada Persediaan Obat (Studi Kasus Apotek Rafif Farma Medan)

M Mardiah - Algoritma: Jurnal Ilmu Komputer Dan Informatika, 2019 - jurnal.uinsu.ac.id
Pentingnya sistem persediaan barang di suatu Apotek dan jenis barang mana yang menjadi
prioritas utama yang harus di stok. Hal tersebut berguna untuk mengantisipasi kekosongan …

Performance evaluation of breast cancer diagnosis using radial basis function, C4. 5 and adaboost

AO Ameen, M Olagunju, JB Awotunde… - University of Pitesti …, 2017 - bulletin.feccupit.ro
This paper conducted a performance evaluation on the most commonly data mining
algorithms: Support Vector Machines (Radial basis function), C4. 5 decision tree algorithm …

[PDF][PDF] An effective mining of exception class association rules from medical datasets

AA Al-Tapan, BM Al-Maqaleh - Int. J. Comput. Sci. Eng, 2017 - ijcse.net
Data mining techniques can be applied on medical data to improve quality of decisions in
medical field, and to enhance clinician performance. Class Association Rule (CAR) …

[PDF][PDF] A Review on Data Mining Techniques for Heart Disease Prediction

TO Aro, BJ Muhammed… - … Informatica, XV (1), 2017 - anale-informatica.tibiscus.ro
Data mining is an important stage in knowledge discovery in database (KDD) of clinical data
due to its ability to extract concealed (hidden) patterns from huge amount of datasets to …

A REVIEW OF CHRONIC KIDNEY DISEASE DIAGNOSIS USING DATA MINING TECHNIQUES

OA OLUKIRAN, EO OMIDIORA… - University of Pitesti …, 2021 - bulletin.feccupit.ro
Abstract Chronic Kidney Disease (CKD) has become a global health challenge, it is a
situation where kidneys are damaged and toxic can no longer be filtered. The application of …