[PDF] Top 20 Hospitals Patient Treatment Time Prediction and Its Analysis in Hospital Queuing Recommendation using Data Mining Techniques
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Hospitals Patient Treatment Time Prediction and Its Analysis in Hospital Queuing Recommendation using Data Mining Techniques
... the hospitals are rushed with long queues of the patients. Patient thus suffering with one or more diseases need to wait for long ...to hospitals for their tests suggested like an X-ray scan, ... See full document
9
Time Prediction Algorithm for Hospital Queuing-Recommendation and Parallel Patient Treatment
... than using a generative or a discriminative model to evaluate each pixel, a regressor is used to cast votes for the optimal position of each ...alternative techniques, achieving what we believe to be the ... See full document
9
Parallel Patient Treatment Time Prediction Algorithm For in Queuing Management by Big Data
... and recommendation module and a mobile application interface ...and recommendation module, treatment data are transmitted to the HBase database in NSCC from hospitals ...actual ... See full document
9
Patient Treatment Interval Used In Forecast Algorithm and Solicitations in Hospital Queuing Management
... By Using the Time Prediction Model (TPM), calculation of waiting time intervals for patients those are all undergoing for ...the treatment time for each and every ...the ... See full document
5
Patient Treatment Time Prediction in Hospital Queuing Management
... Hospitals patient queue and its management to lower patient waits delays daily is considered as challenging ...tasks. Time wasting waits for long period results in to poor service and ... See full document
9
Heart Disease Prediction System Using Data Mining Techniques
... any time to get treated ...the hospital leads to earn a bad name and loosing ...same time treatment of the said disease is quite high and not affordable by most of the patients particularly in ... See full document
10
A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing Recommendation
... This approach is based on data partitioning, and requires a small amount of communication, it generalizes to distributed and shared memory machines, as well as clouds. We present experimental results on both ... See full document
7
Analysis of Heart Disease Prediction System using Data Mining Techniques
... system using data mining ...classification techniques such as K-means classification, Decision tree and MAFIA(A Maximal Frequent Item set) algorithm for early detection of heart disease and ... See full document
8
Prediction of Heart Diseases using Data Mining Techniques
... Naïve Bayes Rule is the basis for many machine-learning and data mining methods. The rule (algorithm) is used to create models with predictive capabilities. It provides new ways of exploring and ... See full document
8
Patient Survival Prediction Using Data Mining Technique
... coffee threat lung adenocarcinoma sufferers conditional on tumor level. To recognize the relationship between our forecast and tumor stage one or stage third, the analyst moreover attracts Kaplan-Meier bends to painting ... See full document
8
A Maintenance Prediction System using Data Mining Techniques
... of data analysis have limited capacity to detect patterns and discover the existent knowledge in data, because they only use statistical methods ...and techniques in order to assist humans ... See full document
6
A Review on Data Mining Techniques for Fertilizer Recommendation
... D. SVMs in Agriculture: Support vector machine (SVM) which was originally developed by Vapnik (1998) has been widely applied to many different fields, such as signal process and time series analysis. SVMs ... See full document
5
Title: Prediction Analysis Techniques of Data Mining: A Review
... proposed using commercial game log data competition framework for game data mining in this ...game data mining by providing commercial game logs to the public is the purpose of ... See full document
8
Volume 3, Issue 4, April 2014 Page 1
... Dynamic data mining is a procedure that is activated at certain intervals during the optimization process in order to make use of information obtained during that process, with the goal of speeding the ... See full document
5
A review on stock data prediction using predictive data mining techniques
... Stock market is the bone of fast emerging economies such as India. Major of capital infusion for companies across the country was made possible only through shares sold to people. So our country growth is tightly bounded ... See full document
5
Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... use data mining as a tool for analyzing clinical data records of both fertile and infertile ...patients. Data mining is a powerful tool which is currently used for extracting ... See full document
5
A Hybrid Technique for Assessment of Heart Sickness Forecast
... Heterogeneous data frameworks and Internet-based worldwide data frameworks, for example, the world Wide web (WWW) have likewise developed and assume a key half at intervals the data business (Han and ... See full document
5
Comparing Data Mining Techniques used for Heart Disease Prediction
... and its diagnosis is very difficult ...analyzed using intuition of the medical specialist and it would be highly beneficial if the techniques used for analysis shall be improved with the ... See full document
7
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... profit using well defined trading ...market prediction is achieving best results also minimize the inaccurate forecast the stock ...index prediction is important for stock market investor in order to ... See full document
7
Effectively user pattern discover and classification from web log database
... User Session identification is the process of segmenting the access log of each user into individual access sessions. For Session Identification heuristics based on Time and Navigation are employed. In this step, ... See full document
5
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