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From a biological standpoint, due to the special combination of complex symptoms, some type of complex diseases is difficult to be accurately diagnosed. Known as phenotypic overlap, these sets of disease-related symptoms reveal a common pathological and physiological mechanism. Researchers attempt to visualize the phenotypic relationships between different human diseases from the perspective of machine...
Machine learning is the science of getting computers to learn from data without being unambiguously programmed. Instigated two supervised classification problem (Heart disease prediction and Springleaf Marketing Response) using machine learning algorithms. In heart disease prediction, the objective is to envisage the status of heart disease which can be 0, 1, 2, 3 and 4. These 5 classes are not cleared...
Malaria is a major global health threat. The standard way of diagnosing malaria is by visually examining blood smears for parasite-infected red blood cells under the microscope by qualified technicians. This method is inefficient and the diagnosis depends on the experience and the knowledge of the person doing the examination. Automatic image recognition technologies based on machine learning have...
Chronic kidney disease (CKD) is a major public health concern with rising prevalence. In this study we consider 24 predictive parameters and create a machine learning classifier to detect CKD. We evaluate our approach on a dataset of 400 individuals, where 250 of them have CKD. Using our approach we achieve a detection accuracy of 0.993 according to the F1-measure with 0.1084 root mean square error...
Emphysema is a chronic lung disease that causes breathlessness. HRCT is the reliable way of visual demonstration of emphysema in patients. The fact that dangerous and widespread nature of the disease require immediate attention of a doctor with a good degree of specialized anatomical knowledge. This necessitates the development of computer-based automatic identification system. This study aims to...
The cell functions and development are regulated by complex networks of genes, proteins and other components by means of their mutual interactions. These networks are called gene regulatory networks (GRNs). GRNs are used to reveal the fundamental gene regulatory mechanisms, to determine the reasons for many diseases and interactions between drugs and their targets. The introduction of experimental...
The Visible Human data set provides researchers with digital cross-sections of the human body. Many institutions use the Visible Human for research and teaching purposes. In this paper, we would like to share our experience in analyse the Chinese Visible Human (CVH) Brain images. We introduce some methods, such as skull stripping, de-noise, etc, to segment the Brain images and get better results....
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