Long-Term Forecasting the Survival in Liver Transplantation Using Multilayer Perceptron Networks

Medical prognosis has become an emerging area in

health care. Several reliable prognostic models based on survival

analysis procedures have been useful to a variety of domains,

with different degree of success. An enhanced model with further

advancement of computerized medical decision support

systems help clinicians and doctors in building strategies for

understanding surgical outcomes. A tenfold cross validation (CV)

was applied in the medical input dataset which was obtained

from United Network Organ Sharing database. In order to perform

the dimensionality reduction of a huge database, principal

component analysis (PCA) with ranking was done. The relation

between attributes was recognized and proved using various association

rule mining techniques, such as apriori, tertius, and treap

algorithms. For confirming the results, we compared the rules

generated by the association rules mining algorithm before and

after PCA was also performed. We proposed an effective and

accurate artificial neural network (ANN) model for the prediction

of long-term survival of liver patients who undergo liver

transplantation (LT). A tenfold CV was applied in the medical

input dataset which was obtained from United Network Organ

Sharing database. We made survival analysis of 13 years in the

prediction of liver patients after LT. We trained the liver follow

up data of 13 years separately using multilayer perceptron ANN

model with proper selection of data attributes. Our model outperformed

the existing models in terms of specificity, sensitivity,

and accuracy. From the comparison of existing approaches, our

model promised high accuracy in survival analysis after LT. We

have also evaluated the survival probabilities of 13 years of follow

up liver data and proved that our prediction model is suitable

for long-term prognosis of survival of patients after LT.

Taidot: Datatiede, Tilastoanalyysi, Tilastotiede, tiedonlouhinta, Tutkimus

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Tietoa työnantajasta:
( 5 arvostelua ) Hattiburg, United States

Projektin tunnus: #22191486

11 freelanceria on tarjonnut keskimäärin 214$ tähän työhön


Hi I am a very experienced biostatistician, medical data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from s Lisää

$500 USD 7 päivässä
(143 arvostelua)

Hi, Please tell me what is your expectation exactly for this project? Do you want me to research about forecasting on the Survival in Liver Transplantation Using Multilayer Perceptron Networks which is your project Lisää

$130 USD 2 päivässä
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HI, I am Data Scientist and have good experience in python and R programming. My area of interest is analyzing datasets and apply ML/deep learning algorithm. I can intern your tasks. Kind Regards

$200 USD 5 päivässä
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Hello, I am a data scientist with experience in healthcare and in particular liver related diseases. The description seems interesting and I am familiar with long term survival analyses. While I must caveat that I hav Lisää

$250 USD 7 päivässä
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Dear client, I am Jack201307. Thank you very much for posting the project “Long-Term Forecasting the Survival in Liver Transplantation Using Multilayer Perceptron Networks”. I am using SAS and R together with Data Sci Lisää

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------------------------------------------------------------------------------- HELLO! As an: - Bachelor of Applied Mathematics - Engineer in Statistics and Applied Economics - Microsoft Office Technician (Microsoft G Lisää

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hello, I'm very interested in your project. I worked on several data science machine learning forecasting projects with python R language .Please contact me to discuss more about the project.

$180 USD 4 päivässä
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Pro Research/Statistics/Data Mining/Statistical Analysis/Data Science Expert! Hi client. Once saw a your project, it was very attracted my mind because I am very interested in your project and also, have rich experien Lisää

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Hi i am umer .I am expert in machine learning in python .I have experience of doing work on ANN ,RNN, CNN etc.I can be do your work within a limited amount of time if you are interested then contact me for further deta Lisää

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Hello, I am biostatistician interested in data analysis. By using R software, I can do Survival Analysis adequately and other Statistical models with Statistical Analysis Plan. My Github account, [login to view URL] Lisää

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dear, I'm a senior biostatistician working with different CRO, I have conducted many studies including survival analysis and prognostic factors contributing to certain disease outcome of mortality, hire me, regards

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