Abstract: Rise of predictive techniques have changed the manner we deal with disease diagnosis in healthcare domain. Earlier detail analysis of patient data records was done for disease prediction to ...

The recent developments in quantum technology have opened up new opportunities for machine learning algorithms to assist the healthcare industry in diagnosing complex health disorders, such as heart ...

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...

Abstract: In this study, we have analyzed water quality using different approaches: descriptive analysis and machine learning. First, we get the data source from kaggle website. After processing the ...

In the last decade, a few valuable types of research have been conducted to discriminate fractured zones from non-fractured ones. In this paper, petrophysical and image logs of eight wells were ...

School of Information, Central University of Finance and Economics, Beijing, China. Personal credit risk is a part that both government and enterprises attach great importance to. A good personal ...

Bispectral index (BIS), a useful marker of anaesthetic depth, is calculated by a statistical multivariate model using nonlinear functions of electroencephalography-based subparameters. However, only a ...