Automatic Tool for Prediction of Type of Cancer Risk and Recommendations

2018 ◽  
pp. 447-454
Author(s):  
Pallavi Mirajkar ◽  
G. Prasanna Lakshmi
Keyword(s):  
Cancer Risk ◽  
Medical Practitioner ◽  
Prediction Performance ◽  
The Body ◽  
Prediction Tool ◽  
Cancer Disease ◽  
High Concern ◽  
Technical Possibility ◽  
Automatic Tool ◽  
Using Data

Cancer can begin in any part of the body and can spread to other parts also. It is uncontrollable and it has many types. In the proposed thesis research paper, a tool for prediction of type of cancer risk with five different cancer diagnosis and recommendations is presented. For recognizing cancer disease number of tests ought to be required from the patient. But using data mining techniques these test can be diminished. Indeed, an accurate prediction of cancer is very difficult task for medical practitioner and it is also high concern to the patients so that better treatment can be given and it will also increase the survival time of the patients. Our findings suggested that suitable prediction tool can effectively reduce the several tests for diagnosing cancer and prediction accuracy thereby increasing the technical possibility of early detection of cancer. The main features of the tool comprise a balance between the number of necessary inputs and prediction performance, being portable, and it empowers the automatic development of the cancer risk prediction tool in cancer disease.

scholarly journals Brain Cancer Risk Prediction Tool using Data Mining

2013 ◽  
Vol 61 (12) ◽  
pp. 22-27 ◽  
Author(s):  
Tasnuba Jesmin ◽  
Kawsar Ahmed ◽  
Md. Zamilur Rahman ◽  
Md. Badrul Alam Miah
Keyword(s):  
Data Mining ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Brain Cancer ◽  
Prediction Tool ◽  
Using Data

scholarly journals Cancer risk across mammals

Nature ◽  
2021 ◽  
Author(s):  
Orsolya Vincze ◽  
Fernando Colchero ◽  
Jean-Francois Lemaître ◽  
Dalia A. Conde ◽  
Samuel Pavard ◽  
...  
Keyword(s):  
Body Size ◽  
Cancer Risk ◽  
Cancer Mortality ◽  
Adult Life ◽  
Life History Evolution ◽  
The Body ◽  
Cancer Resistance ◽  
Apparent Lack ◽  
Using Data ◽  
Related Mortality

AbstractCancer is a ubiquitous disease of metazoans, predicted to disproportionately affect larger, long-lived organisms owing to their greater number of cell divisions, and thus increased probability of somatic mutations1,2. While elevated cancer risk with larger body size and/or longevity has been documented within species3–5, Peto’s paradox indicates the apparent lack of such an association among taxa6. Yet, unequivocal empirical evidence for Peto’s paradox is lacking, stemming from the difficulty of estimating cancer risk in non-model species. Here we build and analyse a database on cancer-related mortality using data on adult zoo mammals (110,148 individuals, 191 species) and map age-controlled cancer mortality to the mammalian tree of life. We demonstrate the universality and high frequency of oncogenic phenomena in mammals and reveal substantial differences in cancer mortality across major mammalian orders. We show that the phylogenetic distribution of cancer mortality is associated with diet, with carnivorous mammals (especially mammal-consuming ones) facing the highest cancer-related mortality. Moreover, we provide unequivocal evidence for the body size and longevity components of Peto’s paradox by showing that cancer mortality risk is largely independent of both body mass and adult life expectancy across species. These results highlight the key role of life-history evolution in shaping cancer resistance and provide major advancements in the quest for natural anticancer defences.

Recent Advances in Obesity: The Role of Turmeric Tuber and Its Metabolites in the Prophylaxis and Therapeutical Strategies

2019 ◽  
Vol 25 (37) ◽  
pp. 4837-4853 ◽  
Author(s):  
Agata Jarząb ◽  
Wirginia Kukula-Koch
Keyword(s):  
Body Weight ◽  
21St Century ◽  
The Body ◽  
Excess Body Weight ◽  
Inflammatory Reactions ◽  
Drug Candidates ◽  
Scientific Papers ◽  
Important Health ◽  
High Concern

Background: Obesity in the 21st century society became an important health problem, alarming both the scientists and medicine doctors around the world. That is why, the search for new drug candidates capable to reduce the body weight is of high concern. Objective: This contribution tends to collect current findings on the biochemistry of obesity and on the application of plants and in particular turmeric tuber – a commonly used spice - as an anti-obesity agent. Methods: Following an introduction on the biochemical characteristics of obesity, the description of Curcuma secondary metabolites, their pharmacological applications and a study on the plants’ regulatory properties in obesity was summarized. Particular attention was paid to curcumin – the major metabolite present in the extracts of Curcuma spp., which is known to exhibit a variety of pharmacological actions. Also, the characteristics of some semisynthetic analogues of this ferulic acid derivative, characterized by a higher polarity and better bioavailability will be discussed. Results: Numerous scientific papers treat on the influence of turmeric on weight loss. Additionally, some of them describe its anti-inflammatory properties. Conclusions: This important spice tends to fight the 21st century plague, which is an excessive weight gain, related to the development of metabolic syndrome, to the occurrence of cardiovascular problems and diabetes, and, in consequence, leading to a significant shortening of life span. As herein proven, the extracts of turmeric play an important role in the regulation of inflammatory reactions which are evoked in the overweight patients, helping them reduce the excess body weight.

scholarly journals Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings

2017 ◽  
Vol 10 (7) ◽  
pp. 421-430 ◽  
Author(s):  
Artitaya Lophatananon ◽  
Juliet Usher-Smith ◽  
Jackie Campbell ◽  
Joanne Warcaba ◽  
Barbora Silarova ◽  
...  
Keyword(s):  
Primary Care ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Prediction Tool ◽  
Community Settings ◽  
The Uk

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

scholarly journals Comparison of Performance Between a Short Categorized Lifestyle Exposure-based Colon Cancer Risk Prediction Tool and a Model Using Continuous Measures

2018 ◽  
Vol 11 (12) ◽  
pp. 841-848 ◽  
Author(s):  
Ying Liu ◽  
Graham A. Colditz ◽  
Bernard A. Rosner ◽  
Hank Dart ◽  
Esther Wei ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Prediction Tool ◽  
Colon Cancer Risk ◽  
Continuous Measures

scholarly journals Early Prevention and Detection of Skin Cancer Risk using Data Mining

2013 ◽  
Vol 62 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Kawsar Ahmed ◽  
Tasnuba Jesmin ◽  
Md. Zamilur Rahman
Keyword(s):  
Data Mining ◽  
Skin Cancer ◽  
Cancer Risk ◽  
Early Prevention ◽  
Skin Cancer Risk ◽  
Using Data

scholarly journals An in Silico Scientific Basis for LL-37 as a Therapeutic and Vitamin D as Preventive for Covid-19.

2020 ◽  
Author(s):  
Kiran Bharat Lokhande ◽  
Tanushree Banerjee ◽  
K. Venkateswara Swamy ◽  
Manisha Deshpande
Keyword(s):  
Vitamin D ◽  
Receptor Binding ◽  
In Silico ◽  
Large Body ◽  
Inverse Correlation ◽  
Medical Practitioner ◽  
Binding Domain ◽  
The Body ◽  
Receptor Binding Domain ◽  
Vitamin D Levels

<p>Even as clinical trials are underway for vaccines and therapeutics for Covid-19, establishment of modalities with a strong and complete foundation is still awaited and until then, the uncertainty remains associated. Thus, there is a requirement to research as many new and different types of approaches as possible to tackle the pandemic. In this report, <i>in silico</i> scientific findings are presented, which are indicative of the putative potential for the use of the LL-37 human anti-microbial peptide as a therapeutic or possibly even as a prophylactic against SARS-CoV-2. This indication is mainly based on the high structural similarity of LL-37 to the N-terminal helix of the receptor-binding domain of SARS-CoV-2, and the positive prediction of binding of LL-37 to the receptor-binding domain of SARS-CoV-2. Also, as Vitamin D is known to upregulate the expression of LL-37, the vitamin is a candidate preventive molecule. This report also provides the possible basis for why there is an inverse correlation between Vitamin D levels in the body and the severity of or susceptibility to Covid-19, as described in a large body of published literature. The path for development of LL-37 as a therapeutic could be of lesser duration, as LL-37 is native to the human body. With the scientific link put forth in this work, Vitamin D could be used at an effective, medically prescribed dose as a preventive measure. As Vitamin D is insoluble in water, it should be taken only in consultation with a medical practitioner to prevent adverse effects of its accumulation in the body. The information in this report would be valuable in bolstering the worldwide efforts to control the pandemic as early as possible.</p>

Nourish the soul or damage the body? Belief in the connection between Christian moral failure and diminished health

2018 ◽  
Vol 65 (2) ◽  
pp. 247-262
Author(s):  
Steven L Foy ◽  
Collin W Mueller
Keyword(s):  
South Carolina ◽  
Religious Involvement ◽  
The Body ◽  
Religion And Health ◽  
Telephone Interviews ◽  
Moral Failure ◽  
Physical Health Outcomes ◽  
Using Data ◽  
The Relationship

Scholars have increasingly noted mechanisms by which religion may be detrimental to one’s health, but few have explored how individuals understand linkages between religious involvement and adverse health. Using data gathered from telephone interviews with Protestants and Catholics in North Carolina and South Carolina, we explore how individuals understand the role of religious moral failure in shaping health consequences. When asked to discuss the relationship between religion and health, 23 respondents described experiences or beliefs regarding how failing to meet the expectations of their religion corresponded with a range of reduced mental and physical health outcomes. Findings underscore the need for additional research on the role of religious involvement and life course experiences in shaping expectations that health declines result from moral failure.

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