Journal ArticleDOI
Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques
TLDR
Diseases is an unusual circumstance that affects single or more parts of a human’s body and because of lifestyle and patrimonial, different kinds of disease are increasing day by day.Abstract:
Diseases is an unusual circumstance that affects single or more parts of a human’s body. Because of lifestyle and patrimonial, different kinds of disease are increasing day by day. Among all those ...read more
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A Combined Deep CNN-LSTM Network for the Detection of Novel Coronavirus (COVID-19) Using X-ray Images
TL;DR: This paper aims to introduce a deep learning technique based on the combination of a convolutional neural network (CNN) and long short-term memory (LSTM) to diagnose COVID-19 automatically from X-ray images, which achieved desired results on the currently available dataset.
Journal ArticleDOI
Development of Smart Healthcare Monitoring System in IoT Environment.
TL;DR: A smart healthcare system in IoT environment that can monitor a patient’s basic health signs as well as the room condition where the patients are now in real-time is proposed.
Posted ContentDOI
A Combined Deep CNN-LSTM Network for the Detection of Novel Coronavirus (COVID-19) Using X-ray Images
TL;DR: This paper aims to introduce a deep learning technique based on the combination of a convolutional neural network (CNN) and long short -term memory (LSTM) to diagnose COVID-19 automatically from X-ray images.
Journal ArticleDOI
Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery
TL;DR: The results of the present study have shown that the model developed with decision tree data mining algorithm is more efficient to predict the possibility of recovery of the infected patients from COVID-19 pandemic with the overall accuracy of 99.85% which stands to be the best model developed among the models developed with other algorithms.
Journal ArticleDOI
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques
Md. Milon Islam,Md. Rezwanul Haque,Hasib Iqbal,Md. Munirul Hasan,Mahmudul Hasan,Muhammad Nomani Kabir +5 more
TL;DR: Five supervised machine learning techniques named support vector machine (SVM), K-nearest neighbors, random forests, artificial neural networks (ANNs) and logistic regression are compared and it is revealed that the ANNs obtained the highest accuracy, precision, and F1 score.
References
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Deep learning
TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
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Deep Learning
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Journal ArticleDOI
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
TL;DR: The Bayesian classifier is shown to be optimal for learning conjunctions and disjunctions, even though they violate the independence assumption, and will often outperform more powerful classifiers for common training set sizes and numbers of attributes, even if its bias is a priori much less appropriate to the domain.
Journal ArticleDOI
Evaluating trauma care: the triss method. trauma score and the injury severity score
TL;DR: The TRISS method as mentioned in this paper is a standard approach for evaluating outcome of trauma care, which uses Anatomic, physiologic, and age characteristics to quantify probability of survival as related to severity of injury.
Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 2-Volume Set, 9th Edition Expert Consult Premium Edition €“ Enhanced Online Features
TL;DR: Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 2-Volume Set, 9th Edition Expert Consult Premium Edition €“ Enhanced Online Features - Libros de Medicina - Sistema Cardiovascular - 218,00