Muhammad Hammad Memon

Automated Parkinson’s disease recognition based on statistical pooling method using acoustic features

An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier

A sound based method for fault detection with statistical feature extraction in UAV motors

A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS

Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine

Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance

Feature Selection Based on L1-Norm Support Vector Machine and Effective Recognition System for Parkinson’s Disease Using Voice Recordings

Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection

A novel integrated diagnosis method for breast cancer detection

Recognition of the parkinson’s disease using a hybrid feature selection approach

Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data

A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms