A5033853428- Dental Health and Care Utilization
- Oral microbiology and periodontitis research
- AI in cancer detection
- Context-Aware Activity Recognition Systems
- Radiomics and Machine Learning in Medical Imaging
- Dental Radiography and Imaging
- Digital Mental Health Interventions
- Neuroscience of respiration and sleep
- Functional Brain Connectivity Studies
- Artificial Intelligence in Healthcare
- Music and Audio Processing
- Emotion and Mood Recognition
- EEG and Brain-Computer Interfaces
- Gene expression and cancer classification
- Brain Tumor Detection and Classification
- Indoor and Outdoor Localization Technologies
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Traditional Chinese Medicine Studies
- Speech and Audio Processing
- Metabolism and Genetic Disorders
- Mental Health Research Topics
- Leaf Properties and Growth Measurement
- Gait Recognition and Analysis
- Dermatoglyphics and Human Traits
Université de Lorraine
2020-2022
Institut national de recherche en informatique et en automatique
2020-2022
Laboratoire Lorrain de Recherche en Informatique et ses Applications
2020-2022
Centre National de la Recherche Scientifique
2020-2022
Universidad Autónoma de Zacatecas "Francisco García Salinas"
2017-2020
Autonomous University of San Luis Potosí
2017
Tomato plants are highly affected by diverse diseases. A timely and accurate diagnosis plays an important role to prevent the quality of crops. Recently, deep learning (DL), specifically convolutional neural networks (CNNs), have achieved extraordinary results in many applications, including classification plant This work focused on fine-tuning based comparison state-of-the-art architectures: AlexNet, GoogleNet, Inception V3, Residual Network (ResNet) 18, ResNet 50. An evaluation was finally...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the disease (COVID-19), a highly contagious infectious that has caused many deaths worldwide. Despite global efforts, it continues to cause great losses, and leaving multiple unknowns we must resolve in order face pandemic more effectively. One of questions arisen recently what happens, after recovering from COVID-19. For this reason, objective study identify risk presenting persistent symptoms recovered This...
Depression is a mental disorder characterized by recurrent sadness and loss of interest in the enjoyment positive aspects life, addition to fatigue, causing inability perform daily activities, which leads quality life. To monitor depression (unipolar bipolar patients), traditional methods rely on reports from patients; nevertheless, bias commonly present them. overcome this problem, Ecological Momentary Assessment (EMA) have been widely used, include data behavior, feelings other types...
Oral health represents an essential component in the quality of life people, being a determinant factor general since it may affect risk suffering other conditions, such as chronic diseases. diseases have become one main public problems, where dental caries is condition that most affects oral worldwide, occurring about 90% global population. This has been considered challenge because its high prevalence, besides but preventable disease which can be caused depending on consumption certain...
Major Depression Disease has been increasing in the last few years, affecting around 7 percent of world population, but nowadays techniques to diagnose it are outdated and inefficient. Motor activity data decade is presented as a better way diagnose, treat monitor patients suffering from this illness, achieved through use machine learning algorithms. Disturbances circadian rhythm mental illness increase effectiveness mining process. In paper, comparison motor night, day full carried out...
The effects of distracted driving are one the main causes deaths and injuries on U.S. roads. According to National Highway Traffic Safety Administration (NHTSA), among different types distractions, use cellphones is highly related car accidents, commonly known as “texting driving”, with around 481,000 drivers by their while driving, about 3450 people killed 391,000 injured in accidents involving 2016 alone. Therefore, this research, a novel methodology detect using cellphone proposed. For...
Depression is a common illness worldwide, affecting an estimated 3.8% of the population, including 5% all adults, in particular, 5.7% adults over 60 years age. Unfortunately, at present, ways to evaluate different mental disorders, like Montgomery-Åsberg depression rating scale (MADRS) and observations, need great effort, on part specialists due lack availability patients obtain necessary information know their conditions detect such as objective way. Based data analysis artificial...
In the area of recognition and classification children activities, numerous works have been proposed that make use different data sources. most them, sensors embedded in children’s garments are used. this work, environmental sound is to generate a activities model through automatic learning techniques, optimized for application on mobile devices. Initially, genetic algorithm feature selection presented, reducing original size dataset used, an important aspect when working with limited...
Depression is a mental disorder which typically includes recurrent sadness and loss of interest in the enjoyment positive aspects life, severe cases fatigue, causing inability to perform daily activities, leading progressive quality life. Monitoring depression (unipolar bipolar patients) stats relays on traditional method reports from patients; however, bias commonly present, given patients’ interpretation experiences. Nevertheless, overcome this problem, Ecological Momentary Assessment...
Breast cancer represents the most common type of worldwide among women. One important diagnostic methods this disease are mammograms, however, high prevalence breast has not been reduced due to incorrect diagnosis these images, since they can be complex interpret. An approach that a fundamental process for improvement is digital image processing, it facilitate interpretation images specialists. In work proposed implementation new multilevel segmentation based on minimum cross-entropy...
Estimation of indoor location represents an interesting research topic since it is a main contextual variable for bases services (LBS), eHealth applications and commercial systems, among others. For instance, hospitals require data their employees, as well the patients to offer based on these locations at correct moments needs. Several approaches have been proposed tackle this problem using different types artificial or natural signals (i.e., wifi, bluetooth, rfid, sound, movement, etc.). In...
Breast cancer is an important global health problem, and the most common type of among women. Late diagnosis significantly decreases survival rate patient; however, using mammography for early detection has been demonstrated to be a very tool increasing rate. The purpose this paper obtain multivariate model classify benign malignant tumor lesions computer-assisted with genetic algorithm in training test datasets from image features. A search was conducted predictive models different...
Diabetes is a chronic and noncommunicable but preventable disease that affecting the Mexican population at worrying levels, being first place in prevalence worldwide. Early diabetes detection has become important to prevent other health conditions involve low organ yield until patient death. Based on this problem, work proposes architecture of an Artificial Neural Network (ANN) for automated classification healthy patients from diabetics patients. The analysis was performed used set 19...
Depression is a mental disorder manifested through set of psychological and physical symptoms, such as the presence sadness, apathy, hopelessness irritability, among others.According to World Health Organization (WHO), depression affecting more than 300 million people worldwide, presenting prevalence between 3 21%.One main problems this high incorrect classification patients, since many cases are false positive negative diagnoses.In work it proposed study behavior five different techniques,...
The indoor location of individuals is a key contextual variable for commercial and assisted location-based services applications. Commercial centers medical buildings (e.g., hospitals) require information their users/patients to offer the that are needed at correct moment. Several approaches have been proposed tackle this problem. In paper, we present development an system which relies on human activity recognition approach, using sound as source infer based realized work, analyze estimate...
The Word Health Organization (WHO) declared in March 2020 that we are facing a pandemic designated as COVID-19, which is the acronym of coronavirus disease 2019, caused by new virus know severe acute respiratory syndrome 2 (SARS-CoV-2). In Mexico, first cases was reported Secretary on 28 February 2020. More than sixteen thousand and more fifteen deaths have been it continues to rise; therefore, this article proposes two online visualization tools (a web platform) allow analysis demographic...
Sudden infant death syndrome (SIDS) is defined as the of a child under one year age, during sleep, without apparent cause, after exhaustive investigation, so it diagnosis exclusion. SIDS principal cause in industrialized countries. Inborn errors metabolism (IEM) have been related to SIDS. These are group conditions characterized by accumulation toxic substances usually produced an enzyme defect and there thousands them included disorders β-oxidation cycle, similarly what can affect different...
One of the principal conditions that affects oral health worldwide is dental caries, occurring in about 90% global population. This pathology has been considered a challenge because its high prevalence, besides being chronic but preventable disease which can be caused by series different demographic, dietary" among others. Based on this problem, research demographic and dietary features analysis performed for classification subjects according to their status based age group where population...
Digital image processing implies a fundamental process in the field of medicine, since it supports improvement images facilitating their interpretation for specialists. A technique that has had great relevance is segmentation, applied to mammography images, order improve diagnosis breast cancer disease. In this work proposed implementation new multilevel segmentation approach based on minimum cross-entropy threshold - Harris Hawks Optimization (MCET-HHO) metaheuristic algorithm, where five...
Children activity recognition (CAR) is a subject for which numerous works have been developed in recent years, most of them focused on monitoring and safety. Commonly, these use as data source different types sensors that can interfere with the natural behavior children, since are embedded their clothes. This article proposes environmental sound creation children classification model, through development deep artificial neural network (ANN). Initially, ANN architecture proposed, specifying...
The main pathology that make up the epidemiological profile of oral health status is dental caries. This considered a challenge because its high prevalence, besides being chronic but preventable disease, which can be caused by series different demographic, dietary and laboratory data, among others. Therefore, in this research two multivariate models were proposed for classification between control patients ('0'), presence caries ('1') restorations ('2'). Analyzing 189 demographic features...