Cited by IoT-Enabled Predictive Healthcare Monitoring Using Machine Learning Models

Advancements in Multi-Cloud Applications for Enhanced E-Healthcare Services DOI

Pravallika Naidu,

Dankan Gowda,

Parismita Sarma

et al.

Published: Dec. 29, 2023

E-Health Record Security Research on a Cloud-Based Multi-Layer Framework reaches its climax in string of noteworthy discoveries, demonstrating how the framework may transform cloud health data security. The framework's multi-tiered design proved to be an effective barrier against wide range cyber threats, protecting privacy and security patients' medical records. An important factor varied healthcare industry is fact that it can easily scaled adjusted meet needs providers sizes capabilities. Nevertheless, there are obstacles need addressed, according report. These include difficulty implementation ongoing for upgrades modifications address changing threats technical advances. Healthcare firms must continuously implement educational programs due reliance user compliance training. With eye toward future, this structure lays groundwork more sophisticated studies subject. Potential research directions improving cross-platform compatibility, optimizing resource utilization reduce performance implications, integrating AI ML automated threat response predictive analytics.

Language: Английский

Citations

Predictive Modeling of Dental Health Outcomes Based on Fluoride Concentrations using AI DOI

Swathi Pai M,

Annepu Arudra,

Dankan Gowda

et al.

Published: Dec. 29, 2023

Oral health is a crucial aspect of general health, and the presence fluoride in drinking water has been consistently linked to its improvement. This work utilizes deep learning machine approaches develop prediction models that can estimate oral consequences based on concentrations. Our analysis comprehensive dataset includes levels indicators from several geographic locations. The covers broad range demographic environmental factors. study involves thorough data pretreatment procedure, which activities such as cleaning, standardization, feature engineering. All these processes contribute improving making input variables more relevant. approach used encompasses algorithms, including neural networks, decision trees, ensemble approaches, are create models. Thoroughly adjusting hyperparameters using cross-validation methods maximize effectiveness model.

Language: Английский

Citations

Machine Learning Applications in Azure for Enhanced E-commerce Customer Sentiment Analysis DOI

Tanmoy De,

Dankan Gowda,

Pooja Thirani

et al.

Published: Aug. 8, 2024

Language: Английский

Citations

Advanced IoT and Machine Learning Techniques for Effective Heart Disease Diagnosis DOI

Dankan Gowda,

M. Sathyanarayanan,

Kirti Rahul Kadam

et al.

Published: Aug. 23, 2024

Language: Английский

Citations

IoT-Enabled Predictive Healthcare Monitoring Using Machine Learning Models DOI

N. J. Patil,

Avinash Sharma,

K. D. V. Prasad

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 165 - 175

Published: Jan. 1, 2024

Language: Английский

Citations