[PDF][PDF] Training And Optimizing Deep Arti cial Neural Networks Using Dragon y Algorithm for Medical Prediction

A Nedjai - archives.univ-biskra.dz
Artificial intelligence applications can be highly beneficial for healthcare in general to the
extent that it can revolutionise the entire healthcare system. Artificial Neural Network (ANN) …

[PDF][PDF] Beyond the Horizon: A Meticulous Analysis of Clinical Decision-Making Practices

BS Raja, S Asghar - … Journal of Advanced Computer Science and …, 2020 - researchgate.net
Clinical advancements are one of the major outcomes of the technological phase shift of
data sciences. The significance of information technology in medical sciences by utilizing …

AI-Driven Prognosis and Diagnosis for Personalized Healthcare Services: A Predictive Analytic Perspective

R Mehra, M Iyer - Handbook of Research on Advancements of …, 2020 - igi-global.com
Artificial intelligence (AI) seeks to replicate human psychological capacities. This is making
an ideal change for healthcare services with the rapid availability of healthcare data and the …

[PDF][PDF] Syed Habib Ullah Shah, Muhammad Omar & Han Woo Park

NN Abbas, T Ahmed - researchgate.net
Artificial Intelligence (AI) provides instant insights to pierce through the noise of thousands of
daily security alerts. The recent literature focuses on AI's application to cyber security but …

[PDF][PDF] Comparative Analysis of Data Mining Classification Techniques for Heart Disease Prediction

D Mehta, N Varnagar - 2018 - academia.edu
Data Mining is the most advanced technology in the field of computer science. It is used to
discover the fruitful information from the large amount of data, by extracting the frequent …

[引用][C] Making heart diseases detectable. The invention of an algorithm for systematically predictions

D Baig - 2020 - GRIN Verlag

[引用][C] Overcoming underrepresentation in clinical datasets for accurate subpopulation-specific prognosis

S Afrose, W Song, CB Nemeroff, C Lu, DD Yao - medRxiv, 2021

[引用][C] Neural network based projection of electricity demand in Indonesia using repetitive training method

MZ Arbain, EUA Gaffar, A Rizal - International Journal of Engineering Technology, 2018

[引用][C] XGboost 를이용한허혈성심질환발생예측모형개발

이슬기, 신택수 - 한국지능정보시스템학회학술대회논문집, 2020 - dbpia.co.kr
본 연구는 만성질환자를 대상으로중증질환 발생을 예측하는 분류모형을 개발하고자한다. 이에
본 연구에서는 한국의료패널에서수집된 개인별 의료자료 (2012~ 2015 년) 를이용하여 고혈압 …

[引用][C] International Journal of Information Engineering and Electronic Business (IJIEEB)

OM Olaniyi, TA Folorunso, OJ Aliyu Ahmed