Predictive data mining approaches in medical diagnosis: A review of some diseases prediction

R Ghorbani, R Ghousi - International Journal of Data and …, 2019 - m.growingscience.com
Due to the increasing technological advances in all fields, a considerable amount of data
has been collected to be processed for different purposes. Data mining is the process of …

Early Prediction of Diabetes Using Machine Learning Techniques

B Rathi, F Madeira - 2023 Global Conference on Wireless and …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic illness or group of metabolic disorders in which a person has a
sustained rise in blood glucose levels (BG) because of a lack of, or an inability of, cells to …

[PDF][PDF] The role of data pre-processing techniques in improving machine learning accuracy for predicting coronary heart disease

O Sami, Y Elsheikh… - International Journal of …, 2021 - pdfs.semanticscholar.org
These days, in light of the rapid developments, people work day and night to live at a good
level. This often causes them to not pay much attention to a healthy lifestyle, such as what …

A comparative study of supervised/unsupervised machine learning algorithms with feature selection approaches to predict student performance

AK Hamoud, AS Alasady, WA Awadh… - … Journal of Data …, 2023 - inderscienceonline.com
The field of educational data mining (EDM) is one of the most growing fields that aims to
improve the performance of students, academic staff, and overall institutional performance …

Multi-Years Diabetes Prediction Using Machine Learning and General Check-Up Dataset

AA Gozali - 2023 11th International Conference on Information …, 2023 - ieeexplore.ieee.org
Diabetes mellitus (DM) is a severe chronic health condition affecting millions worldwide. Left
untreated, it can lead to various debilitating and potentially life-threatening complications …

[PDF][PDF] Prioritas Pengemudi Untuk Kenyamanan Layanan Penumpang di Lingkungan Akademik Berbasis K-Nearest Neighbor

A Setiawan, A Winarno - Dinamika Rekayasa, 2020 - scholar.archive.org
Peran pengemudi adalah sebagai komponen penggerak sarana transportasi yang
memobilisasi penumpang yang ada di dalamnya. Sudah sepantasnya calon penumpang …

Implementation of the K-Nearest Neighbors Algorithm in the AgroWeather System for Plant Recommendations Based on Weather Predictions

P Savitri, H Purwanto, T Wiharko… - 2023 17th …, 2023 - ieeexplore.ieee.org
This study aims to develop an accurate weather prediction model that can be applied using
the K-Nearest Neighbor (KNN) method to make it easier for the community, especially …

Machine Learning Techniques Best for Large Data Prediction: A Case Study of Breast Cancer Categorical Data: k‐Nearest Neighbors

Y Rimal - Ontology‐Based Information Retrieval for Healthcare …, 2020 - Wiley Online Library
This chapter explains machine learning prediction techniques for large data prediction using
K nearest neighbor algorithm, which is the most effective tool for predicting large data having …

[PDF][PDF] Implementasi K-Nearest Neighbor pada Decission Support System Pemilihan Satuan Pengamanan Event Perguruan Tinggi

A Setiawan, B Widjajanto, AW Kurniawan… - Jurnal Informatika …, 2020 - academia.edu
Event rutin yang biasanya diselenggarakan oleh perguruan tinggi diperlukan pengawalan
dari satuan pengamanan (satpam) yang terpilih. Pemilihan yang didasarkan pada …

[PDF][PDF] THE IMPACT OF DATA PRE-PROCESSING METHODS ON INCREASING MACHINE LEARNING ACCURACY IN CORONARY HEART DISEASE PREDICTION

PK PANI - fuzzy-tversu.com
People these days work around the clock to maintain a high standard of living due to the
tremendous advancements in society. This frequently results in their not giving healthy living …