Prediction of diabetes patient stage using ontology based machine learning system

VS Lakshmi, V Nithya, K Sripriya… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Nowadays technology has improved the worldwide and has become vital part of our life. It
aid for doctors to analyze and diagnose the medical problems and diseases. With help …

Representing social network patient data as evidence-based knowledge to support decision making in disease progression for comorbidities

M Krishnamurthy, P Marcinek, KM Malik, M Afzal - IEEE Access, 2018 - ieeexplore.ieee.org
Social network patient data for comorbid studies is a sparsely explored avenue. This can
provide unprecedented insight into disease conditions and their progression, hence …

[PDF][PDF] Secure Decision-Making Approach to Improve Knowledge Management Based on Online Samples.

K Kaliyan, R Kothandaraman - International Journal of Intelligent …, 2018 - academia.edu
Data is bombarding in every area of the industry and information gathered from the available
data is the raw material for the online society. By the evolution of the telecom sector and …

[PDF][PDF] Sytematic Literature Review: Strategi Intervensi Penanganan Pandemi Covid-19 dalam Sudut Pandang Teknologi Informasi

M Yusa, LA Umar - Journal Scientific and Applied Informatics, 2021 - scholar.archive.org
Covid-19 merupakan jenis virus baru yang sampai saat ini belum ditemukan obat/antivirus/
treatment yang pasti. Penelitian yang dilakukan dan dijelaskan dalam paper ini adalah …

[PDF][PDF] A Review on Clinical Decision Support System

PO ANA, AE EDIM - 2022 - academia.edu
Over the year's studies have concentrated on causative factors for lack of quality care and
treatment practices without much attention to the important role of healthcare providers such …

Semantic and Statistical Analysis Based Framework for Intracranial Aneurysm Knowledge Curation

M Krishnamurthy - 2019 - search.proquest.com
The digitization of healthcare has resulted in large volumes of data, mostly unstructured, that
can be tapped to derive meaningful insights for clinical decision making. It is important to …