Coronary heart disease (CHD) is the first cause of death globally. Hypertension is considered to be the most important independent risk factor for CHD. Early and accurate diagnosis of CHD in patients with hypertension can plays a ...

Within the whole world, cervical cancer is one of the major causes of mortality for women. Currently, it is quite difficult for medical personnel to find such cancer before it spreads quickly. In order to predict cervical cancer using risk factors, this ...

The availability of electronic health record data makes it possible to develop automatic disease diagnosis approaches. In this paper, we study the early diagnosis of diseases. As being a difficult task (even for experienced doctors), early diagnosis of ...

Aging people can suffer from cognitive impairments with a range of symptoms, including memory, perception, and difficulty in solving problems called Alzheimer’s disease (AD). The early detection of Mild Cognitive Impairment (MCI), ...

In this paper, we present a deep-learning based diagnostic pipeline for breast cancer that has been designed in the H2020 INCISIVE project. The design of the pipeline has taken into consideration the needs of medical professionals and has been adapted ...

Alzheimer's Disease(AD) is an invasive neurodegenerative disorder that has no cure. The treatment of AD is based on drugs, which have to be administered in the early stages of the development of the disease. Therefore, early diagnosis of the disease is ...

Clinical diagnosis of dementia is typically delayed and limited in accuracy, despite assessing cognitive impairments through neurological exams, brain imaging, and functional tests such as Activities of Daily Living. Recent advances in digital health ...

(1) Background: Identifying early pancreas parenchymal changes remains a challenging radiologic diagnostic task. In this study, we hypothesized that applying artificial intelligence (AI) to contrast-enhanced ultrasound (CEUS) along with measurement of ...

Early diagnosis for the young children with Autism Spectrum Disorder (ASD) is essential, ensuring that the interventions necessary to develop children's skills are adopted early when brain plasticity is much more accentuated, and therapy is more ...

Differential diagnosis is detection of one disease among similar diseases using evidence such as pathologic tests. A Partially Observed Markov Decision Process (POMDP) formulates the complex differential diagnosis process into a probabilistic decision-...

The oculomotor performance can be an indicator of early neurodegeneration. Persons with Alzheimer's disease have shown different eye movement patterns than healthy persons in visual exploration through different experiments. We present a non-obtrusive ...

The era of protein data analysis is coming with more accurate quantification experiments such as the multiple reaction monitoring MRM. Protein is easier to obtain than the other genetic variants or gene expression data, which makes it more suitable for ...

A hybrid model, combining Bayesian network and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Diabetes type 2. We have ...

This study considers the construction of a multicriteria model to assist in the early diagnosis of Alzheimer's disease. Alzheimer's disease is considered the most frequent of the dementias and it is responsible for about 50% of the cases. Due to this ...

Mass spectrometry is becoming an important tool in biological sciences. Tissue samples or easily obtained biological fluids (serum, plasma, urine) are analysed by a variety of mass spectrometry methods, producing spectra characterized by very high ...

In this paper, the curve stopping function based on the CT number of lung parenchyma from CT lung images is proposed to detect lung region in replacement of conventional edge indication function in geodesic active contour model. We showed that the ...

This paper presents a new, layout-based approach to board-level shorts diagnosis for bussed drivers, with the goal of early repair of interconnect shorts so as to minimize (a) fault masking during opens testing and (b) driver abuse. This approach leads ...