scholarly journals Penerapan Metode Ripple Down Rules Untuk Mendiagnosa Penyakit Hamster

2020 ◽  
Vol 2 (2) ◽  
pp. 71-75
Author(s):  
Sri Putri Sundari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Health Workers ◽  
Clinical Symptoms ◽  
Animal Health ◽  
Fields Of Study ◽  
Inference Search ◽  
The Many ◽  
Ripple Down Rules ◽  
Over Time

Hamsters are one of the many animals that are owned and are beginning to attract many people. Over time, hamsters began to be known as pets. Hamasters are also susceptible to disease. Diseases in hamsters and symptoms that cause very much, the problem now is not only need to know the cause of the disease but the important thing is to know quickly the disease suffered is also overcome so that the disease can be treated. Expert system which is one branch of artificial intelligence, capable of acting as experts in certain fields of study, researchers think animal health workers to help diagnose disease in hamsters as early as possible. The Ripple Down Rule (RDR) method is one method that has expert system inference / search capabilities and knowledge acquisition. By using RDR a system will be able to identify the disease as an expert with clinical symptoms such as input. The expert system for diagnosing disease in hamsters uses the Ripple Down Rules (RDR) method to explore the symptoms displayed in the form of questions in order to diagnose the type of hasmter's illness, to get results for treatment and to cure hasmter disease.

scholarly journals Penerapan Metode Ripple Down Rules Untuk Mendiagnosa Penyakit Burung

2020 ◽  
Vol 1 (2) ◽  
pp. 89
Author(s):  
Dahri Musnandar
Keyword(s):  
Expert System ◽  
Knowledge Acquisition ◽  
Normal Condition ◽  
Clinical Symptoms ◽  
Inference Search ◽  
Ripple Down Rules

Birds or poultry are members of vertebrate animals that have feathers and wings. Diseased birds certainly look different from their normal condition and exhibit strange symptoms, if they are usually agile and active or often chirping, but when they are sick the bird looks limp, and chooses more silence. Of the symptoms that arise there are symptoms that can be seen by the eye or clinically and by looking at these symptoms can be known what diseases attack birds. To get a solution to the disease, a tool or system is needed to do it. The Ripple Down Rule (RDR) method is one method that has expert system inference / search capabilities and knowledge acquisition. By using the RDR method a system will be able to infer or identify several types of diseases suffered by birds as experts with clinical symptoms such as input. Recognized disease data adjusts rules (rules) that are made to be able to match the symptoms of bird disease stored in the system.

scholarly journals Diagnose Expert System Dental Disease In Humans Method Using Dempster Shafer

2020 ◽  
Vol 2 (2) ◽  
pp. 227-230
Author(s):  
Etiani Bu'ulolo ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Dental Health ◽  
Public Awareness ◽  
Oral Disease ◽  
Dental Disease ◽  
Sources Of Information ◽  
The People ◽  
Thought Patterns ◽  
The Many

Dental disease is one of the many health problems Complained of by the people of Indonesia. Dental health is a reflection of human health. Lack of knowledge and limited sources of information on oral health have the caused public awareness to maintain oral and dental health is still low .. The development of one of the fields of information technology namely artificial intelligence has been Widely applied in various fields of life can be used as a solution to Overcome this problem. In this study, the dental and oral disease expert system uses the Dempster Shafer method to control inferences that Contain thought patterns and reasoning mechanisms used by experts in solving problems.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

scholarly journals Examining local perspectives on the influence of climate change on the health of Hamer pastoralists and their livestock in Ethiopia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Samuel Lumborg ◽  
Samuel Tefera ◽  
Barry Munslow ◽  
Siobhan M. Mor
Keyword(s):  
Climate Change ◽  
Water Scarcity ◽  
Health Workers ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Vulnerable Groups ◽  
Local Health ◽  
Framework Analysis ◽  
Healthcare Facilities ◽  
Grazing Lands

AbstractThis study explores the perceived influence of climate change on the health of Hamer pastoralists and their livestock in south-western Ethiopia. A combination of focus group discussions and key informant interviews were conducted with Hamer communities as well as local health workers, animal health workers and non-governmental organisation (NGO) staff. Thematic framework analysis was used to analyse the data. Reductions in rangeland, erratic rainfall, recurrent droughts and loss of seasonality were perceived to be the biggest climate challenges influencing the health and livelihoods of the Hamer. Communities were travelling greater distances to access sufficient grazing lands, and this was leading to livestock deaths and increases in ethnic violence. Reductions in suitable rangeland were also precipitating disease outbreaks in animals due to increased mixing of different herds. Negative health impacts in the community stemmed indirectly from decreases in livestock production, uncertain crop harvests and increased water scarcity. The remoteness of grazing lands has resulted in decreased availability of animal milk, contributing to malnutrition in vulnerable groups, including children. Water scarcity in the region has led to utilisation of unsafe water sources resulting in diarrhoeal illnesses. Further, seasonal shifts in climate-sensitive diseases such as malaria were also acknowledged. Poorly resourced healthcare facilities with limited accessibility combined with an absence of health education has amplified the community’s vulnerability to health challenges. The resilience and ambition for livelihood diversification amongst the Hamer was evident. The introduction of camels, increase in permanent settlements and new commercial ideas were transforming their livelihood strategies. However, the Hamer lack a voice to express their perspectives, challenges and ambitions. There needs to be collaborative dynamic dialogue between pastoral communities and the policy-makers to drive sustainable development in the area without compromising the values, traditions and knowledge of the pastoralists.

scholarly journals Human Milk Antibodies Against SARS-CoV-2: A Longitudinal Follow-Up Study

2021 ◽  
pp. 089033442110301
Author(s):  
Hannah G. Juncker ◽  
M. Romijn ◽  
Veerle N. Loth ◽  
Tom G. Caniels ◽  
Christianne J.M. de Groot ◽  
...  
Keyword(s):  
Human Milk ◽  
Clinical Symptoms ◽  
Immunoglobulin A ◽  
Spike Protein ◽  
Enzyme Linked Immunosorbent Assay ◽  
Follow Up Study ◽  
Lactating Mothers ◽  
Milk Antibodies ◽  
Over Time

Background: Human milk contains antibodies against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) following Coronavirus Disease 2019 (COVID-19). These antibodies may serve as protection against COVID-19 in infants. However, the evolution of these human milk antibodies over time is unclear. Research Aim: To elucidate the evolution of immunoglobulin A (IgA) against SARS-CoV-2 in human milk after a SARS-CoV-2 infection. Methods: This longitudinal follow-up study included lactating mothers ( N = 24) who had participated in the COVID MILK study. To assess the evolution of SARS-CoV-2 antibodies, serum and human milk samples were collected 14–143 days after the onset of clinical symptoms related to COVID-19. Enzyme-Linked ImmunoSorbent Assay was used to detect antibodies against the ectodomain of the SARS-CoV-2 spike protein. Results: SARS-CoV-2 antibodies remain present up to 5 months (143 days) in human milk after onset of COVID-19 symptoms. Overall, SARS-CoV-2 IgA in human milk seems to gradually decrease over time. Conclusion: Human milk from SARS-CoV-2 convalescent lactating mothers contains specific IgA antibodies against SARS-CoV-2 spike protein up to at least 5 months post-infection. Passive viral immunity can be transferred via human milk and may serve as protection for infants against COVID-19. Dutch Trial Register on May 1st, 2020, number: NL 8575, URL: https://www.trialregister.nl/trial/8575 .

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals Modern Diagnosis of Early Esophageal Cancer: From Blood Biomarkers to Advanced Endoscopy and Artificial Intelligence

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3162
Author(s):  
Pierfrancesco Visaggi ◽  
Brigida Barberio ◽  
Matteo Ghisa ◽  
Mentore Ribolsi ◽  
Vincenzo Savarino ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Esophageal Cancer ◽  
Clinical Symptoms ◽  
Survival Rates ◽  
Screening Strategy ◽  
Cancer Surveillance ◽  
Blood Biomarkers ◽  
Early Esophageal Cancer ◽  
Novel Technologies ◽  
Bolus Impaction

Esophageal cancer (EC) is the seventh most common cancer and the sixth cause of cancer death worldwide. Histologically, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) account for up to 90% and 20% of all ECs, respectively. Clinical symptoms such as dysphagia, odynophagia, and bolus impaction occur late in the natural history of the disease, and the diagnosis is often delayed. The prognosis of ESCC and EAC is poor in advanced stages, being survival rates less than 20% at five years. However, when the diagnosis is achieved early, curative treatment is possible, and survival exceeds 80%. For these reasons, mass screening strategies for EC are highly desirable, and several options are currently under investigation. Blood biomarkers offer an inexpensive, non-invasive screening strategy for cancers, and novel technologies have allowed the identification of candidate markers for EC. The esophagus is easily accessible via endoscopy, and endoscopic imaging represents the gold standard for cancer surveillance. However, lesion recognition during endoscopic procedures is hampered by interobserver variability. To fill this gap, artificial intelligence (AI) has recently been explored and provided encouraging results. In this review, we provide a summary of currently available options to achieve early diagnosis of EC, focusing on blood biomarkers, advanced endoscopy, and AI.

scholarly journals Kinetics of Anti-SARS-CoV-2 Antibody Responses 3 Months Post Complete Vaccination with BNT162b2; A Prospective Study in 283 Health Workers

Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1942
Author(s):  
Evangelos Terpos ◽  
Ioannis P. Trougakos ◽  
Vangelis Karalis ◽  
Ioannis Ntanasis-Stathopoulos ◽  
Sentiljana Gumeni ◽  
...  
Keyword(s):  
Neutralizing Antibodies ◽  
Health Workers ◽  
Antibody Responses ◽  
Healthy Individuals ◽  
Younger Age ◽  
Constant Rate ◽  
Rate Of Decline ◽  
A Prospective Study ◽  
Kinetics Of ◽  
Over Time

The aim of this study was to investigate the kinetics of neutralizing antibodies (NAbs) and anti-SARS-CoV-2 anti-S-RBD IgGs up to three months after the second vaccination dose with the BNT162b2 mRNA vaccine. NAbs and anti-S-RBD levels were measured on days 1 (before the first vaccine shot), 8, 22 (before the second shot), 36, 50, and three months after the second vaccination (D111) (NCT04743388). 283 health workers were included in this study. NAbs showed a rapid increase from D8 to D36 at a constant rate of about 3% per day and reached a median (SD) of 97.2% (4.7) at D36. From D36 to D50, a slight decrease in NAbs values was detected and it became more prominent between D50 and D111 when the rate of decline was determined at −0.11 per day. The median (SD) NAbs value at D111 was 92.7% (11.8). A similar pattern was also observed for anti-S-RBD antibodies. Anti-S-RBDs showed a steeper increase during D22–D36 and a lower decline rate during D36–D111. Prior COVID-19 infection and younger age were associated with superior antibody responses over time. In conclusion, we found a persistent but declining anti-SARS-CoV-2 humoral immunity at 3 months following full vaccination with BNT162b2 in healthy individuals.

The silence of the ellipses: Why history can’t be about telling our children lies

2021 ◽  
Vol 102 (5) ◽  
pp. 8-11
Author(s):  
Sam Wineburg
Keyword(s):  
History Textbooks ◽  
Historical Study ◽  
The Face ◽  
The Many ◽  
Over Time ◽  
Boston Massacre

History textbooks are less likely to be complete renderings of the truth than a series of stories textbook authors (and the many stakeholders who influence them) consider beneficial. Sam Wineburg describes how the process of writing history textbooks often leads to sanitized and inaccurate versions of history. As an example, he describes how the story of Crispus Attucks and the Boston massacre has evolved over time. The goal of historical study, he explains, is not to cultivate love or hate of the country. Rather, it should provide us with the courage needed to look ourselves unflinching in the face, so that we may understand who we were and who we might aspire to become.

Sign in / Sign up

Export Citation Format

Share Document