Carla Taramasco

Andrés Bello University | UNAB

Reliably detecting COVID-19 is critical for diagnosis and disease control. However, imbalanced data in medical datasets pose significant challenges for machine learning models, leading to bias and poor generalization. The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,0...

Chronic respiratory diseases are conditions that can severely affect lung function as patients grow. The gradual decline in lung function may increase the risk of developing chronic obstructive pulmonary disease (COPD) in adulthood. Therefore, it is important to incorporate pulmonary rehabilitation programs from an early age. The use of games has b...

The global rise in the aging population and the increase in older adults living alone have raised concerns about health-related behaviors, particularly sedentary lifestyles and reduced daily activities. These behaviors are linked to higher risks of physical and cognitive conditions. While many global studies have explored these patterns, research w...

Accurate detection of COVID-19 is critical for effective patient care and disease control. However, imbalanced data in medical datasets present obstacles for machine learning models, leading to biased predictions. This study aims to resolve the issue of class imbalance in COVID-19 diagnosis by conducting a comprehensive examination of various machi...

Contrary to popular belief, rare genetic diseases affect a significant portion of the global population, with a prevalence ranging from 3.5% to 8 %. These conditions are particularly prevalent among children. In Chile, the interval between the onset of symptoms and the diagnosis of these diseases can extend between six and eight years, resulting in...

Background: Low comprehension and adherence to medical treatment among the elderly directly and negatively affect their health. Many elderly patients forget medical instructions immediately after their appointments, misunderstand them, or fail to recall them altogether. Some identified causes include the short time slots allocated for appointments...

Microservices gained momentum in enterprise IT, as they enable building cloud-native applications. At the same time, they come with new security challenges, including security smells, viz., symptoms of bad (though often unintentional) design decisions that might affect application security. This study aims to explore the impacts of microservice sec...

Aim: this study sought to explore the education process carried out by primary health care providers for asthma patients in two regions of Chile. Methods: Nine group interviews with 35 health providers in nine primary health care centers were conducted in two of the country's major urban areas, the Valparaíso and Biobío Regions. Data were analyzed...

Introduction The rise of new technologies in the field of health is yielding promising results. In certain chronic conditions such as type 2 diabetes mellitus, which ranks among the top five causes of global mortality, it could be useful in supporting patient management. Materials and methods A systematic review will be conducted on scientific pub...

Introduction: With 35 Clinical Geneticists (CG) for Chile’s 19.49 million (0.19 CG for 100,000 inhabitants), there is a national scarcity for genetic services and genetic disease prevalence data. The largest national patient-led survey counts one million patients with genetic conditions in 2019, with 47% waiting 1-3 years for a diagnosis and 21% wa...

Cancer, a pervasive global health challenge, necessitates chemotherapy or radiotherapy treatments for many prevalent forms. However, traditional follow-up approaches encounter limitations, exacerbated by the recent COVID-19 pandemic. Consequently, telemonitoring has emerged as a promising solution, although its clinical implementation lacks compreh...

Chemotherapy requires careful monitoring, but traditional follow-up approaches face significant challenges that were highlighted by the COVID-19 pandemic. Hence, exploration into telemonitoring as an alternative emerged. The objective is to assess the impact of a telemonitoring platform that provides clinical data to physicians overseeing solid tum...

Context: Software Engineering is dedicated to the systematic and efficient development of software, which necessitates the active participation of all team members and a recognition of their unique skills and abilities, including those with autism spectrum disorders (ASD). The inclusion of individuals with ASD presents new perspectives, yet there i...

The Mini-Mental State Examination (MMSE) is the most widely used cognitive test for assessing whether suspected symptoms align with cognitive impairment or dementia. The results of this test are meaningful for clinicians but exhibit highly unbalanced distributions in studies and analyses regarding the classification of patients with cognitive impai...

Every year, over 30% of individuals aged 65 and above experience fall, leading to potential physical and psychological harm. This is particularly concerning for those who live independently and lack immediate assistance. To address this issue, numerous studies in the field have focused on early fall detection of the elderly, employing diverse senso...

Introduction Telemonitoring involves the transmission of clinical information through digital means, including internet-connected devices such as smartphones, health tracking apps and video conferencing platforms. This strategy could provide a viable alternative to facilitate follow-up in several conditions, including cancer. Objectives To synthes...

Visible Light Communication (VLC) has the potential to revolutionize various aspects of the healthcare industry. VLC’s capability to achieve high data rates, reaching several megabits per second, renders it ideal for meeting strict communication requirements and ensuring dependable data transmission within healthcare environments. The Radio Frequen...

BACKGROUND The Mini-Mental State Examination (MMSE) is the most widely used cognitive test for assessing whether suspected symptoms align with cognitive impairment or dementia. The results of this test are meaningful for clinicians but exhibit highly unbalanced distributions in studies and analyses regarding the classification of patients with cogn...

UNSTRUCTURED Telemonitoring involves the transmission of clinical information through digital means, including internet-connected devices such as smartphones, health tracking apps and video conferencing platforms. This strategy could provide a viable alternative to facilitate follow-up in several conditions, including cancer. To synthesise the avai...

Ambient Assisted Living Systems (AALSs) use information and communication technologies to support care for the growing population of older adults. AALSs focus on providing multidimensional support to families, primary care facilities, and patients to improve the quality of life of the elderly. The literature has studied the qualities of AALSs from...

Length-of-stay (LoS) prediction and severity classification for patients in emergency units in a clinic or hospital are crucial problems for public and private health networks. An accurate estimation of these parameters is essential for better planning resources, which are usually scarce. Although it is possible to find several works that propose t...

BACKGROUND In the world cancer is the leading cause of death. To ensure care processes, the World Health Organization recommends incorporating the Patient Reported Experience Measure and the Patient-Reported Outcome Measure. New technologies allow large volumes of data to be converted into useful information. Considering that many cancer patients h...

Background The World Health Organization recommends incorporating patient-reported experience measures and patient-reported outcome measures to ensure care processes. New technologies, such as mobile apps, could help report and monitor patients’ adverse effects and doubts during treatment. However, engaging patients in the daily use of mobile apps...

Identifying the clinical needs to evaluate and manage the treatment and monitoring of cancer patients is a multidimensional challenge in healthcare institutions. In this regard, electronic health records (EHRs) are beneficial for managing clinical information; however, EHRs focused exclusively on patients with cancer have not been sufficiently adop...

In Chile, 18% of the population is over 60 years old and is projected to reach 31% in three decades. An aging population demands the development of strategies to improve quality of life (QoL). In this randomized trial, we present the implementation and evaluation of the Quida platform, which consists of a network of unintrusive sensors installed in...

Objectives: This study aims to examine age differences in the intensity of chronic pain among middle-aged and older adults, where intensity is measured on a scale differentiating between chronic pain that is often troubling and likely requires intervention versus more endurable sensations. We aim to explore whether individual health and national g...

The management of beds within healthcare centers is essential for meeting the health needs of the population. Currently, in Chile there are few computer tools that streamline the functions performed by the Bed Management Units of healthcare centers. The objective of this article is to describe the implementation of a bed management computer system...

Multiple chronic conditions are an important factor influencing mortality in older adults. At the same time, cardiovascular events in older adult patients are one of the leading causes of mortality worldwide. This study aimed to design a machine learning model capable of predicting mortality risk in older adult patients with cardiovascular patholog...

(1) Background: The preoccupation related to the fall, also called fear of falling (FOF) by some authors is of interest in the fields of geriatrics and gerontology because it is related to the risk of falling and subsequent morbidity of falling. This study seeks to classify the acceleration patterns of the center of mass during walking in subjects...

(1) Background: The diagnosis of COVID-19 is frequently made on the basis of a suggestive clinical history and the detection of SARS-CoV-2 RNA in respiratory secretions. However, the diagnostic accuracy of clinical features is unknown. (2) Objective: To assess the diagnostic accuracy of patient-reported clinical manifestations to identify cases of...

The study of stress and its implications has been the focus of interest in various fields of science. Many automated/semi-automated stress detection systems based on physiological markers have been gaining enormous popularity and importance in recent years. Such non-voluntary physiological features exhibit unique characteristics in terms of reliabi...

Epivigila is a Chilean integrated epidemiological surveillance system with more than 17,000,000 Chilean patient records, making it an essential and unique source of information for the quantitative and qualitative analysis of the COVID-19 pandemic in Chile. Nevertheless, given the extensive volume of data controlled by Epivigila, it is difficult fo...

In March 2020, the first version of EPIVIGILA was deployed in a productive environment a few days after the first local case of COVID- 19. This system is a technological integration plat-form for national epidemiological surveillance of notifiable diseases. Previously, Chile used a manual process that would probably have failed with a peak volume o...

In March 2020, the first version of EPIVIGILA was deployed in a productive environment a few days after the first local case of COVID- 19. This system is a technological integration plat-form for national epidemiological surveillance of notifiable diseases. Previously, Chile used a manual process that would probably have failed with a peak volume o...

Linear functional analysis historically founded by Fourier and Legendre played a significant role to provide a unified vision of mathematical transformations between vector spaces. The possibility of extending this approach is explored when basis of vector spaces is built Tailored to the Problem Specificity (TPS) and not from the convenience or eff...

RESUMEN La vigilancia epidemiológica de las enfermedades transmisibles, función esencial en salud pública, precisa del manejo de la información clara, precisa y fehaciente para lograr con un análisis más rápido de sus resultados, la detección precoz y su consecuente respuesta oportuna a los eventos. En Chile, la vigilancia y el control durante la p...

A medida que avanza la edad, pueden aparecer algunas enfermedades que poco a poco impactan en la salud de las personas. Entre ellas, algunas enfermedades crónicas y neurodegenerativas que impiden mantener la independencia en las actividades básicas de la vida diaria, aumentando los riesgos en el hogar, como las caídas que, además de impactar en la...

A medida que avanza la edad, pueden aparecer algunas enfermedades que poco a poco impactan en la salud de las personas. Entre ellas, algunas enfermedades crónicas y neurodegenerativas que impiden mantener la independencia en las actividades básicas de la vida diaria, aumentando los riesgos en el hogar, como las caídas que, además de impactar en la...

Introduction and Objectives Current models of health care are progressively migrating to more participatory models, where for treatment to achieve results that last over time, there must be effective communication between the patient, his or her caregivers, and health professionals. Although the use of pictograms in the context of medical instructi...

The population is aging worldwide, creating new challenges to the quality of life of older adults and their families. Falls are an increasing but not inevitable threat to older adults. Information technologies provide several solutions to address falls, but smart homes and the most available solutions require expensive and invasive infrastructures...

In the last two decades, studies about using technology for automatic detection of human fall increased considerably. The automatic detection of falls allows for quicker aid that is key to increasing the chances of treatment and mitigating the consequences of falls. However, each type of fall has its specificities, and determining the correct type...

Cognitive Reserve alludes to gain, resistance, plasticity and is the functional correlative of neuroplasticity and a potential protection factor, which could explain why some patients may show the same pathology but quite different clinical manifestations. Among the activities considered as promoters are studies, work, physical and social activitie...

UNSTRUCTURED Epidemiologic surveillance incorporates technology to provide safe, fast and trustworthy digital solutions for the control of public health and is especially efficacious in the Mandatory Reporting of Infectious Diseases. These are listed according to international agreements and national norms. The enforceability of the declaration mus...

Background To fulfill their epidemiological vigilance function, authorities require valid, complete, timely, precise, and reliable information. Advancements in new technologies have facilitated public health control through vigilance systems for notifiable diseases; these systems can gather large numbers of simultaneous notifications, process a wid...

UNSTRUCTURED Epidemiologic surveillance incorporates technology to provide safe, fast and trustworthy digital solutions for the control of public health and is especially efficacious in the Mandatory Reporting of Infectious Diseases. These are listed according to international agreements and national norms. The enforceability of the declaration mus...

The 2019 Coronavirus disease (COVID-19) pandemic is a current challenge for the world’s health systems aiming to control this disease. From an epidemiological point of view, the control of the incidence of this disease requires an understanding of the influence of the variables describing a population. This research aims to predict the COVID-19 inc...

Among the diverse and important applications that networks currently have is the modeling of infectious diseases. Immunization, or the process of protecting nodes in the network, plays a key role in stopping diseases from spreading. Hence the importance of having tools or strategies that allow the solving of this challenge. In this paper, we evalua...

The purpose of this study is to develop a new method that allows calculating the characteristics of tourist paths, favoring the understanding of visitor behavior. Changes and complexities are considered between a first phase of quasi-random "search" of attractions and tourist sites to visit, and a second phase of direct access to places of interest...

Fake news, viruses on computer systems or infectious diseases on communities are some of the problems that are addressed by researchers dedicated to study complex networks. The immunization process is the solution to these challenges and hence the importance of obtaining immunization strategies that control these spreads. In this paper, we evaluate...

Establishing a node importance ranking is a problem that has attracted the attention of many researchers in recent decades. For unweighted networks where the edges do not have any attached weight, many proposals have been presented, considering local or global information of the networks. On the contrary, it occurs in undirected edge-weighted netwo...

The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this datab...

Clinical software has become a significant contribution to support clinical management and intra-hospital processes. In this regard, the success or failure of clinical software is mostly yielded on a suitable requirements elicitation process. Although several techniques and approaches address this process, the complexity of clinical services and th...

Many governments worldwide are engaging into digital transformation initiatives to improve efficiency, effectiveness, cost, and transparency. Collaborative e-government processes offer a way to overcome the typical integration and interoperability issues of existing isolated e-government solutions. A study was conducted to help e-government modelle...

Microservice-based systems promote agility and rapid business development. Some features, such as fast time-to-market, scalability and optimal response times, have encouraged stakeholders to get more involved in the development and implementation of microservices architectures in order to translate their business vision into the implementation of t...

BACKGROUND Evaluating Health Information System (HIS) quality is strategically advantageous for improving patient care quality. Nevertheless, there is little research evidence identifying and describing what standards, processes, and tools are used to evaluate HIS quality. OBJECTIVE This study aims to illustrate, detail, and discuss the current sc...

Background: Evaluating health information system (HIS) quality is strategically advantageous for improving the quality of patient care. Nevertheless, few systematic studies have reported what methods, such as standards, processes, and tools, were proposed to evaluate HIS quality. Objective: This study aimed to identify and discuss the existing l...

Clinical software is a fundamental tool for supporting healthcare systems because it improves the quality of patient care and automatizes the most frequently performed clinical tasks. Nevertheless, since health systems include various components, such as supplies, transportation, laboratories, and interoperability, eliciting the most critical requi...

Currently, one of the main challenges for information systems in healthcare is focused on support for health professionals regarding disease classifications. This work presents an innovative method for a recommendation system for the diagnosis of breast cancer using patient medical histories. In this proposal, techniques of natural language process...

During the last years, highly-recognized computational intelligence techniques have been proposed to treat classification problems. These automatic learning approaches lead to the most recent researches because they exhibit outstanding results. Nevertheless, to achieve this performance, artificial learning methods firstly require fine tuning of the...

The Electronic Health Record (EHR) is a digital document that stores sensitive patient information. In this regard, there are novel techniques and methods for satisfying security in EHR in specific domains (such as authentication, networking, cryptography, among others). Nevertheless, there is not enough evidence on quality instruments composed of...

Telehealth systems deliver remote care of elderly and physically less able patients as well as remote surgeries, treatments, and diagnoses. In this regard, several systemic properties must be satisfied (such as security) in order to ensure the functionality of Telehealth systems. Although existing studies discuss different security episodes that in...