Human disease prediction using machine learning techniques and real-life parameters

K Gaurav, A Kumar, P Singh, A Kumari, M Kasar… - International Journal of …, 2023 - ije.ir
Disease prediction of a human means predicting the probability of a patient's disease after
examining the combinations of the patient's symptoms. Monitoring a patient's condition and …

Comparison and Analysis of Various Machine Learning Algorithms for Disease Prediction

S Kanamarlapudi, VS Yakkala… - 2023 7th …, 2023 - ieeexplore.ieee.org
People nowadays suffer from a variety of diseases because of environmental factors and
their lifestyle choices. As a result, disease prediction at an earlier stage becomes a critical …

Artificial Intelligence Enabled Disease Prediction System in Healthcare Industry

AK Verma, S Bhadula, S Sharma - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In each industry where innovative progressions are at their most elevated, machine learning
has been greatly valuable. The objective of machine learning is to extricate the foremost …

Disease Prediction Using Machine Learning

S Dubey, S Banik, D Ghosh, A Dey… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
Significant and continuous improvements in health-care technology have allowed the world
to return to a quantitative and less time-consuming approach to disease exploration. The …

A Comprehensive Review on Disease Predictions Using Machine Learning Approaches

SR Wani, SH Attri, S Setia - Congress on Intelligent Systems, 2023 - Springer
There are various machine learning models for medical treatment that are now in use,
however they all primarily target identifying a single condition. Consequently, this study has …

Heart Attack Detection using Machine Learning

YNVS Prakash, B Sathyam, MS Venkat… - … in Technology and …, 2024 - ieeexplore.ieee.org
Heart attack is a leading cause of death around the world. Every year millions of people
suffer because of heart attacks. Early detection of heart attack symptoms is crucial for the …

The Performance Analysis of Several Machine Learning Methods in Predicting Diabetes

Y Wu, Z Xia, H Liu, M Huang… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic disease characterized by hyperglycemia. Early screening of diabetes
patients will help reduce the incidence of diabetes. Accurately modeling the early symptoms …

From symptom to solution: leveraging machine learning for improving healthcare prognosis

PN Karles - 2024 - dione.lib.unipi.gr
This study evaluates and compares the performance of five machine learning algorithms for
medical diagnosis using a Kaggle dataset. The algorithms include Gradient Boosting …

A Machine Learning based Insect Bite Classification

V Akshaykrishnan, C Sharanya… - … on Smart Data …, 2023 - ieeexplore.ieee.org
Identifying insects by their bite marks can assist doctors in diagnosing victims and providing
appropriate treatment. In recent years, researches using Machine Learning have been …

[PDF][PDF] IDENTIFICATION OF UNKNOWN DISEASES USING AI

J Jadhav, M Pinto, D Oswal, V Shah, A Oswal… - 2025 - jai.aspur.rs
The Coronavirus was a major health problem in the world. The rapid growth of the
healthcare sector reveals the need for early diagnosis and management. AI provides …