scholarly journals A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

Author(s):  
Alberto Comesaña-Campos ◽  
Manuel Casal-Guisande ◽  
Jorge Cerqueiro-Pequeño ◽  
José-Benito Bouza-Rodríguez

Respiratory diseases are currently considered to be amongst the most frequent causes of death and disability worldwide, and even more so during the year 2020 because of the COVID-19 global pandemic. Aiming to reduce the impact of these diseases, in this work a methodology is developed that allows the early detection and prevention of potential hypoxemic clinical cases in patients vulnerable to respiratory diseases. Starting from the methodology proposed by the authors in a previous work and grounded in the definition of a set of expert systems, the methodology can generate alerts about the patient’s hypoxemic status by means of the interpretation and combination of data coming both from physical measurements and from the considerations of health professionals. A concurrent set of Mamdani-type fuzzy-logic inference systems allows the collecting and processing of information, thus determining a final alert associated with the measurement of the global hypoxemic risk. This new methodology has been tested experimentally, producing positive results so far from the viewpoint of time reduction in the detection of a blood oxygen saturation deficit condition, thus implicitly improving the consequent treatment options and reducing the potential adverse effects on the patient’s health.

2021 ◽  
pp. 152483992110138
Author(s):  
Morgan A. Pratte ◽  
Chioma Ogazi ◽  
Chelsea Vozzolo ◽  
Donette Wright ◽  
Amy Griffin

Women in underserved communities are disproportionately affected by chronic diseases such as cardiovascular disease and cancer. The Connecticut Early Detection and Prevention Program (CEDPP) has taken a streamlined approach to improve access to comprehensive preventive health services for minority women and those with incomes below the federal poverty threshold. The CEDPP has implemented Wellness Days to improve outreach in the community and offer opportunities for health assessments, screenings, and education around chronic disease prevention and management. CEDPP contractors coordinated 47 Wellness Days in 2019, reaching 2,509 women and successfully enrolling 107 (4.3%) in the CEDPP. While the majority of Wellness Day events offered health education to participants, only 10.6% offered mammograms and 6.4% offered Papanicolaou (Pap) tests onsite. Through ongoing evaluation efforts, the CEDPP and its contractors have identified opportunities to enhance the success of Wellness Days to connect women with essential preventive services. By expanding its reach, the CEDPP will have a more widespread impact on women’s health across Connecticut.


Animals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 451 ◽  
Author(s):  
Maria Jorquera-Chavez ◽  
Sigfredo Fuentes ◽  
Frank R. Dunshea ◽  
Robyn D. Warner ◽  
Tomas Poblete ◽  
...  

Respiratory diseases are a major problem in the pig industry worldwide. Due to the impact of these diseases, the early identification of infected herds is essential. Computer vision technology, using RGB (red, green and blue) and thermal infrared imagery, can assist the early detection of changes in animal physiology related to these and other diseases. This pilot study aimed to identify whether these techniques are a useful tool to detect early changes of eye and ear-base temperature, heart rate and respiration rate in pigs that were challenged with Actinobacillus pleuropneumoniae. Clinical observations and imagery were analysed, comparing data obtained from animals that showed some signs of illness with data from animals that showed no signs of ill health. Highly significant differences (p < 0.05) were observed between sick and healthy pigs in heart rate, eye and ear temperature, with higher heart rate and higher temperatures in sick pigs. The largest change in temperature and heart rate remotely measured was observed around 4–6 h before signs of clinical illness were observed by the skilled technicians. These data suggest that computer vision techniques could be a useful tool to detect indicators of disease before the symptoms can be observed by stock people, assisting the early detection and control of respiratory diseases in pigs, promoting further research to study the capability and possible uses of this technology for on farm monitoring and management.


2016 ◽  
Vol 1 (13) ◽  
pp. 162-168
Author(s):  
Pippa Hales ◽  
Corinne Mossey-Gaston

Lung cancer is one of the most commonly diagnosed cancers across Northern America and Europe. Treatment options offered are dependent on the type of cancer, the location of the tumor, the staging, and the overall health of the person. When surgery for lung cancer is offered, difficulty swallowing is a potential complication that can have several influencing factors. Surgical interaction with the recurrent laryngeal nerve (RLN) can lead to unilateral vocal cord palsy, altering swallow function and safety. Understanding whether the RLN has been preserved, damaged, or sacrificed is integral to understanding the effect on the swallow and the subsequent treatment options available. There is also the risk of post-surgical reduction of physiological reserve, which can reduce the strength and function of the swallow in addition to any surgery specific complications. As lung cancer has a limited prognosis, the clinician must also factor in the palliative phase, as this can further increase the burden of an already compromised swallow. By understanding the surgery and the implications this may have for the swallow, there is the potential to reduce the impact of post-surgical complications and so improve quality of life (QOL) for people with lung cancer.


2020 ◽  
Author(s):  
Marie Eggeling ◽  
Anna Meinhardt ◽  
Ulrike Cress ◽  
Joachim Kimmerle ◽  
Martina Bientzle

Objective: This study examined the influence of physicians’ recommendations and gender on the decision-making process in a preference-sensitive situation. Methods: N = 201 participants were put in a hypothetical scenario in which they suffered from a rupture of the anterior cruciate ligament (ACL). They received general information on two equally successful treatment options for this injury (surgery vs. physiotherapy) and answered questions regarding their treatment preference, certainty and satisfaction regarding their decision, and attitude toward the treatment options. Then participants watched a video that differed regarding physician’s recommendation (surgery vs. physiotherapy) and physician’s gender (female vs. male voice and picture). Afterward, they indicated again their treatment preference, certainty, satisfaction, and attitude, as well as the physician’s professional and social competence.Results: Participants changed their treatment preferences in the direction of the physician’s recommendation (P&lt;.001). Decision certainty (P&lt;.001) and satisfaction (P&lt;.001) increased more strongly if the physician’s recommendation was congruent with the participant’s prior attitude than if the recommendation was contrary to the participant’s prior attitude. Finally, participants’ attitudes toward the recommended treatment became more positive (surgery recommendation: P&lt;.001; physiotherapy recommendation: P&lt;.001). We found no influence of the physician’s gender on participants’ decisions, attitudes, or competence assessments.Conclusion: This research indicates that physicians should be careful with recommendations when aiming for shared decisions, as they might influence patients even if the patients have been made aware that they should take their personal preferences into account. This could be particularly problematic if the recommendation is not in line with the patient’s preferences.


2020 ◽  
pp. 66-73
Author(s):  
A. Simonova ◽  
S. Chudakov ◽  
R. Gorenkov ◽  
V. Egorov ◽  
A. Gostry ◽  
...  

The article summarizes the long-term experience of practical application of domestic breakthrough technologies of preventive personalized medicine for laboratory diagnostics of a wide range of socially significant non-infectious diseases. Conceptual approaches to the formation of an integrated program for early detection and prevention of civilization diseases based on these technologies are given. A vision of the prospects for the development of this area in domestic and foreign medicine has been formed.


Author(s):  
Pooja Pathak ◽  
Anand Singh Jalal ◽  
Ritu Rai

Background: Breast cancer represents uncontrolled breast cell growth. Breast cancer is the most diagnosed cancer in women worldwide. Early detection of breast cancer improves the chances of survival and increases treatment options. There are various methods for screening breast cancer such as mammogram, ultrasound, computed tomography, Magnetic Resonance Imaging (MRI). MRI is gaining prominence as an alternative screening tool for early detection and breast cancer diagnosis. Nevertheless, MRI can hardly be examined without the use of a Computer-Aided Diagnosis (CAD) framework, due to the vast amount of data. Objective: This paper aims to cover the approaches used in CAD system for the detection of breast cancer. Method: In this paper, the methods used in CAD systems are categories in two classes: the conventional approach and artificial intelligence (AI) approach. The conventional approach covers the basic steps of image processing such as preprocessing, segmentation, feature extraction and classification. The AI approach covers the various convolutional and deep learning networks used for diagnosis. Conclusion: This review discusses some of the core concepts used in breast cancer and presents a comprehensive review of efforts in the past to address this problem.


Author(s):  
Gavin H. West ◽  
Laura S. Welch

This chapter describes the hazards for construction workers, with a particular focus on injuries as well as exposures to hazardous chemicals and dusts. A section describes hazardous exposures to lead and other heavy metals. Another section describes noise exposure. The impact of musculoskeletal disorders among construction workers is then discussed. A section on respiratory diseases focuses on asbestosis, silicosis, chronic obstructive pulmonary disease, and asthma. Exposures known to cause dermatitis and cancer are reviewed. There is a discussion of engineered nanomaterials as a potential emerging hazard. Various approaches to prevention and control, including regulations and health services, are described.


Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 184
Author(s):  
Kalpana K. Bhanumathy ◽  
Amrutha Balagopal ◽  
Frederick S. Vizeacoumar ◽  
Franco J. Vizeacoumar ◽  
Andrew Freywald ◽  
...  

Protein kinases constitute a large group of enzymes catalysing protein phosphorylation and controlling multiple signalling events. The human protein kinase superfamily consists of 518 members and represents a complicated system with intricate internal and external interactions. Protein kinases are classified into two main families based on the ability to phosphorylate either tyrosine or serine and threonine residues. Among the 90 tyrosine kinase genes, 58 are receptor types classified into 20 groups and 32 are of the nonreceptor types distributed into 10 groups. Tyrosine kinases execute their biological functions by controlling a variety of cellular responses, such as cell division, metabolism, migration, cell–cell and cell matrix adhesion, cell survival and apoptosis. Over the last 30 years, a major focus of research has been directed towards cancer-associated tyrosine kinases owing to their critical contributions to the development and aggressiveness of human malignancies through the pathological effects on cell behaviour. Leukaemia represents a heterogeneous group of haematological malignancies, characterised by an uncontrolled proliferation of undifferentiated hematopoietic cells or leukaemia blasts, mostly derived from bone marrow. They are usually classified as chronic or acute, depending on the rates of their progression, as well as myeloid or lymphoblastic, according to the type of blood cells involved. Overall, these malignancies are relatively common amongst both children and adults. In malignant haematopoiesis, multiple tyrosine kinases of both receptor and nonreceptor types, including AXL receptor tyrosine kinase (AXL), Discoidin domain receptor 1 (DDR1), Vascular endothelial growth factor receptor (VEGFR), Fibroblast growth factor receptor (FGFR), Mesenchymal–epithelial transition factor (MET), proto-oncogene c-Src (SRC), Spleen tyrosine kinase (SYK) and pro-oncogenic Abelson tyrosine-protein kinase 1 (ABL1) mutants, are implicated in the pathogenesis and drug resistance of practically all types of leukaemia. The role of ABL1 kinase mutants and their therapeutic inhibitors have been extensively analysed in scientific literature, and therefore, in this review, we provide insights into the impact and mechanism of action of other tyrosine kinases involved in the development and progression of human leukaemia and discuss the currently available and emerging treatment options based on targeting these molecules.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Guerrero Fernández de Alba ◽  
A Gimeno-Miguel ◽  
B Poblador Plou ◽  
K Bliek Bueno ◽  
J Carmona Pirez ◽  
...  

Abstract Background Type 2 diabetes mellitus (T2D) is often accompanied by other chronic diseases, including mental diseases (MD). This work aimed at studying MD prevalence in T2D patients and analyse its impact on T2D health outcomes. Methods Retrospective, observational study of individuals of the EpiChron Cohort aged 18 and over with prevalent T2D at baseline (2011) in Aragón, Spain (n = 63,365). Participants were categorized by the existence or absence of MD, defined as the presence of depression, anxiety, schizophrenia or substance abuse. MD prevalence was calculated, and a logistic regression model was performed to analyse the likelihood of the four studied health outcomes (4-year all-cause mortality, all-cause hospitalization, T2D-hospitalization, and emergency room visits) based on the presence of each type of MD, after adjusting by age, sex and number of comorbidities. Results Mental diseases were observed in 19% of T2D patients, with depression being the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was significantly higher in patients with MD (odds ratio -OR- 1.24; 95% confidence interval -CI- 1.16-1.31), especially in those with substance abuse (OR 2.18; 95% CI 1.84-2.57) and schizophrenia (OR 1.82; 95% CI 1.50-2.21). The presence of MD also increased the risk of T2D-hospitalization (OR 1.51; 95% CI 1.18-1.93), emergency room visits (OR 1.26; 95% CI 1.21-1.32) and all-cause hospitalization (OR 1.16; 95% CI 1.10-1.23). Conclusions The high prevalence of MD among T2D patients, and its association with health outcomes, underscores the importance of providing integrated, person-centred care and early detection of comorbid mental diseases in T2D patients to improve disease management and health outcomes. Key messages Comprehensive care of T2D should include specific strategies for prevention, early detection, and management of comorbidities, especially mental disorders, in order to reduce their impact on health. Substance abuse was the mental disease with the highest risk of T2D-hospitalization, emergency room visits and all-cause hospitalization.


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