Prediction of Heart Disease Using Genetic Algorithm

Lutimath, Nagaraj M.; Ramachandra, H. V.; Raghav, S.; Sharma, Neha

doi:10.1007/978-981-16-3346-1_4

Cited by 14 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Benign tumors are not cancerous, but on the other hand, malignant tumors are cancerous. A benign tumor [ 27 ] can be formed anywhere on or in the patient's body when cells multiply more than they should or they do not die when they should [ 30 , 31 ]. Therefore, different machine learning techniques like logistic regression, naïve Bayes, and SVM [ 28 , 29 ] and deep learning techniques like CNN, RNN, and neural networks [ 32 , 33 ] are used in the field of healthcare for the detection purposes [ 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task

Chopra

Junath

Singh

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

An algorithm framework based on CycleGAN and an upgraded dual-path network (DPN) is suggested to address the difficulties of uneven staining in pathological pictures and difficulty of discriminating benign from malignant cells. CycleGAN is used for color normalization in pathological pictures to tackle the problem of uneven staining. However, the resultant detection model is ineffective. By overlapping the images, the DPN uses the addition of small convolution, deconvolution, and attention mechanisms to enhance the model’s ability to classify the texture features of pathological images on the BreaKHis dataset. The parameters that are taken into consideration for measuring the accuracy of the proposed model are false-positive rate, false-negative rate, recall, precision, and F 1 score. Several experiments are carried out over the selected parameters, such as making comparisons between benign and malignant classification accuracy under different normalization methods, comparison of accuracy of image level and patient level using different CNN models, correlating the correctness of DPN68-A network with different deep learning models and other classification algorithms at all magnifications. The results thus obtained have proved that the proposed model DPN68-A network can effectively classify the benign and malignant breast cancer pathological images at various magnifications. The proposed model also is able to better assist the pathologists in diagnosing the patients by synthesizing the images of different magnifications in the clinical stage.

show abstract

Section: Introductionmentioning

confidence: 99%

Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task

Chopra

Junath

Singh

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Edge computing devices can use the iLog deep learning model to identify and measure the quantity of food items on a plate. Using plate data, iLog can determine the user's stress level [63][64][65]. Te cutting-edge method developed by the researchers instantly tallies calories, recognizes food, and establishes a connection between diet and anxiety.…”

Section: Discussionmentioning

confidence: 99%

An IoMT‐Based Approach for Real‐Time Monitoring Using Wearable Neuro‐Sensors

Bhatt

Sharma

2023

Journal of Healthcare Engineering

View full text Add to dashboard Cite

The Internet of Things (IoT) has demonstrated over the past few decades to be a powerful tool for connecting various medical equipment with in-built sensors and healthcare professionals to deliver superior health services that also reach remote areas. In addition to reducing healthcare costs, increasing access to clinical services, and enhancing operational effectiveness in the healthcare industry, it has also enhanced patient health safety. Recent research has focused on using EEG to assist and comprehend brain changes in rehabilitation facilities. These technologies can spot fluctuations in EEG constraints during treatment, which could result in more effective therapy and better functional outcomes. As a result, we have tried to use an IoT-based system for real-time monitoring of the constraints. Another unknown patient who is suffering from acute ischemic stroke may experience stroke-in-evolution or an early worsening of neurological symptoms, which is frequently associated with poor clinical outcomes. Because of this, managing an acute stroke requires early detection of these indications. The present investigation work will act as a standard reference for academic researchers, medical professionals, and everyone else involved in the use of IoMT. This study aims to anticipate strokes sooner and prevent their consequences by early intervention using an Internet of Things (IoT)-based system. Also, this study proposes usage of wearable equipment that can monitor and analyze brain signals for improved treatment and the prevention of stroke-related complications.

show abstract

“…This question has intriguing evolutionary implications. Bio-mineralization in vertebrates has been extensively studied and many integrated matrix proteins have been identified in vertebral teeth and bones involved in formation [31]. This discovery Matrix enriches our understanding of bio-mineralization and the relationship between minerals and the regulatory pathway.…”

Section: Bio Mineralizationmentioning

confidence: 91%

An Overview of Dental Implant and Its Bio Mineralization Screening

Ramachandran¹,

Sivaji²,

Soniya³

2022

psr

View full text Add to dashboard Cite

Dental and oral health is yours overall health and well-being are an essential part. Poor oral hygiene cavities and gums lead to diseases and are associated with heart disease, cancer and diabetes. Healthy teeth and maintaining the gums is a lifelong duty. Brushing, brushing and sugar intake if you quickly learn proper oral hygiene habits such as restraint, Expensive dental treatments and long-term health problems can be easily avoided. And may include the following: Keeping mouth and teeth clean to prevent. Dental care is the maintenance of healthy teeth; Oral hygiene is a dental problem in maintaining healthy teeth and gums, proper brushing, plaque removal, oral hygiene. A specialized tooth the office runs where you can brush your teeth for free and get a 20 percent discount on other dental related services. Tooth decay is caused by eating too many sweets and not brushing your teeth afterward. The dental hygienist assists the dentist in cleaning patients' teeth before doing any other work.

show abstract

Prediction of Heart Disease Using Genetic Algorithm

Cited by 14 publications

References 13 publications

Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task

Cyclic GAN Model to Classify Breast Cancer Data for Pathological Healthcare Task

An IoMT‐Based Approach for Real‐Time Monitoring Using Wearable Neuro‐Sensors

An Overview of Dental Implant and Its Bio Mineralization Screening

Contact Info

Product

Resources

About