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Development of Practical Guidelines for Healthcare Process Mining

Dongsoo Kim
2018 Innovative Computing Information and Control Express Letters, Part B: Applications  
Although existing application cases of healthcare process mining have been published, practical and detailed guidelines for applying the process mining techniques in healthcare sector are needed due to  ...  the characteristics of complex healthcare processes.  ...  For example, EMR (Electronic Medical Record) systems are used to manage patients' medical records electronically.  ... 
doi:10.24507/icicelb.09.09.977 fatcat:ms3pj7wpwbaz7j53icvoahumji

Knowledge Discovery from Healthcare Electronic Records for Sustainable Environment

Naeem Ahmed Mahoto, Asadullah Shaikh, Mana Saleh Al Reshan, Muhammad Ali Memon, Adel Sulaiman
2021 Sustainability  
This paper proposes an overview of the data mining techniques used for knowledge discovery in medical records.  ...  Furthermore, based on real healthcare data, this paper also demonstrates a case study of discovering knowledge with the help of three data mining techniques: (1) association analysis; (2) sequential pattern  ...  Conclusions and Future Work The different data mining techniques are applied in knowledge discovery from real healthcare electronic records of diabetic patients.  ... 
doi:10.3390/su13168900 fatcat:mtgsvxbjxze2fp6ajq5mfluxo4

Application of data mining techniques in pharmacovigilance

Andrew M. Wilson, Lehana Thabane, Anne Holbrook
2003 British Journal of Clinical Pharmacology  
Conclusion In view of the importance of ADEs and the development of massive data storage systems and powerful computer systems, the use of data mining techniques in knowledge discovery in medical databases  ...  KDD involves the selection of data variables and databases, data preprocessing, data mining and data interpretation and utilization.  ...  Electronic medical records Electronic medical records (EMRs) contain a large number of data fields, including details such as the use of tobacco products, smoking and nonprescription drugs, symptoms and  ... 
doi:10.1046/j.1365-2125.2003.01968.x pmid:14748811 pmcid:PMC1884444 fatcat:6j7wgbd3mbbqrccrhxhxjwyeoi

Clinical Text Mining of Electronic Health Records to Classify Leprosy Patients Cases

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper intends to depict classification of leprosy cases from the main indication of side effects. Electronic Health Records (EHRs) of Leprosy Patients from verified sources have been generated.  ...  Leprosy is one of the major public health problems and listed among the neglected tropical diseases in India.  ...  We would like to thank the Bombay Leprosy Project for collecting patients' history, clinical notes and providing Corpus of leprosy patients.  ... 
doi:10.35940/ijitee.e2464.039520 fatcat:ziv4pofy3zbmxk6bf7dry72iyi

Knowing

T. Bernecker, F. Graf, H.-P. Kriegel, N. Seiler, C. Türmer, D. Dill
2012 Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12  
In this demonstration, we apply the Knowing framework to a medical monitoring system recording physical activity.  ...  Developers can integrate and evaluate newly developed algorithms and methods for data mining on the recorded database.  ...  They are funded by the German Federal Ministry of Economics and Technology under the grant number 01MQ07020. The responsibility for this publication lies with the authors.  ... 
doi:10.1145/2247596.2247683 dblp:conf/edbt/BerneckerGKSTD12 fatcat:b46bm6iymbfenhsr5p6qg37kjm

A Frame Work for Hospital Readmission Based on Deep Learning Approach and Naive Bayes Classification Model

Thalakola Rao, Bhanu Battula
2019 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
From the last few years has seen an eruption in the quantity of digital data stored in electronic health records (EHR).  ...  Previously, these medical prescriptions were written on papers. But these papers are no longer available. Presently, the better choice is Electronic health records (EHR).  ...  Whenever the size of data increase computation time also increased. CONCLUSION Electronic health records (EHR) plays very important role medical improvement.  ... 
doi:10.18280/ria.330112 fatcat:5han7ko3i5dmpnihpkqbzdjh5m

A Review on Clinical Data Mining

Taranath N.L
2016 International Journal Of Engineering And Computer Science  
The scope of this article is to present a brief report on preceding investigations made in the sphere of mining clinical data, the techniques applied and the conclusions recounted.  ...  The aim of this work is to provide a review on the foundation principles of mining clinical dataset, and present the findings and results of past researches on utilizing data mining techniques to mine  ...  Roddick et.al, [11] presented the experiences of the authors in applying exploratory data mining techniques to medical health and clinical data.  ... 
doi:10.18535/ijecs/v5i8.12 fatcat:qmz4ihenlzgsblbynlk3qcirxq

Data Mining in Clinical Data Sets: A Review

Shomona GraciaJacob, R Geetha Ramani
2012 International Journal of Applied Information Systems  
The scope of this article is to present a brief report on preceding investigations made in the sphere of mining clinical data, the techniques applied and the conclusions recounted.  ...  The aim of this research work is to provide a review on the foundation principles of mining clinical datasets, and present the findings and results of past researches on utilizing data mining techniques  ...  This research work is a part of the All India Council for Technical Education(AICTE), India funded Research Promotion Scheme project titled "Efficient Classifier for  ... 
doi:10.5120/ijais12-450774 fatcat:chin4kzlmvb57hodqzpg7esgtm

Disease Prediction Using Snn over Big Data

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
It is hard to meet the specialist at all the occasions in clinic for minor indications. Enormous information gives fundamental data about the maladies dependent on the indications of the patient.  ...  Electronic Health Record (EHR) keeps up and refreshes persistent wellbeing records which encourage an improved expectation model.  ...  It is one of the prescient demonstrating methodologies utilized in insights, information mining and AI.  ... 
doi:10.35940/ijitee.j9107.0881019 fatcat:r6b2l2ni3zdezhpnta7bcdvd3u

The role of data science in healthcare advancements: applications, benefits, and future prospects

Sri Venkat Gunturi Subrahmanya, Dasharathraj K. Shetty, Vathsala Patil, B. M. Zeeshan Hameed, Rahul Paul, Komal Smriti, Nithesh Naik, Bhaskar K. Somani
2021 Irish Journal of Medical Science  
The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc.  ...  The article provides an insight into the status and prospects of big data analytics in healthcare, highlights the advantages, describes the frameworks and techniques used, briefs about the challenges faced  ...  The most commonly used type (77%) is the data generated by humans (HG data) which includes Electronic Medical Records (EMR), Electronic Health Records (EHR), and Electronic Patient Records (EPR).  ... 
doi:10.1007/s11845-021-02730-z fatcat:r57qjecgzjcctalhs5pxjvuada

Interpretable Predictive Models for Knowledge Discovery from Home-Care Electronic Health Records

Bonnie Westra, Sanjoy Dey, Gang Fang, Michael Steinbach, Vipin Kumar, Cristina Oancea, Kay Savik, Mary Dierich
2011 Journal of Healthcare Engineering  
However, with the massive amount of data now available from EHRs, the application of data mining techniques can aid in knowledge discovery of the factors contributing to the quality of care and outcomes  ...  The purpose of this methodological study was to compare methods of developing predictive rules that are parsimonious and clinically interpretable from electronic health record (EHR) home visit data, contrasting  ...  ACKNOWLEDGEMENTS This study was funded by the University of Minnesota Grant-in-Aid program and research assistantship support by the Department of Computer Science, University of Minnesota.  ... 
doi:10.1260/2040-2295.2.1.55 fatcat:andl232la5cmlnfmzf4stebpli

TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY

GRACIELA GONZALEZ, KEVIN BRETONNEL COHEN, CASEY S. GREENE, UDO HAHN, MARICEL G. KANN, ROBERT LEAMAN, NIGAM SHAH, JIEPING YE
2012 Biocomputing 2013  
Work presented in this session includes data mining techniques applied to the discovery of 3-way genetic interactions and to the analysis of genetic data in the context of electronic medical records (EMRs  ...  Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide range of applications.  ...  Work presented in this session includes data mining techniques applied to the discovery of 3-way genetic interactions and to the analysis of genetic data in the context of electronic medical records (EMRs  ... 
doi:10.1142/9789814447973_0036 fatcat:f522y2grifc6xeh7hs245doscy

Enhancing Privacy for Big Data in Healthcare Domain based on Cryptographic and Decentralized Technology Methods

2019 International journal of recent technology and engineering  
Privacy is one of the biggest concerns that hinder most organizations to adopt the Big Data technology. Some mechanisms and systems have been set-up to handle huge databases.  ...  Most data are stored in a single location, which means the records it keeps are open and effortlessly irrefutable to third parties.  ...  The information beneficiary uses this part to understand the record-level medicinal information get to, i.e., to discover one or different intrigued electronic medical records (EMR) in the common restorative  ... 
doi:10.35940/ijrte.c1023.1083s19 fatcat:ntydm3nzmjac7oaumyzd5p2yr4

An Application of Machine Learning Techniques to Analyze Patient Information to Improve Oral Health Outcomes

Nazila Ameli, Monica Prasad Gibson, Amreesh Khanna, Madison Howey, Hollis Lai
2022 Frontiers in Dental Medicine  
However, research in dentistry on the integration of these techniques into the clinic arena has yet to exist.  ...  ObjectiveVarious health-related fields have applied Machine learning (ML) techniques such as text mining, topic modeling (TM), and artificial neural networks (ANN) to automate tasks otherwise completed  ...  (56) emphasize the necessity of data cleaning and preprocessing in their review of text mining techniques on electronic medical records.  ... 
doi:10.3389/fdmed.2022.833191 fatcat:m5pwdqmcdrcdzoiayzrk4illz4

Reviewing the Techniques of Disease Detection and Classification from the Challenging Medical Data

Chandru A.S, Seetharam K
2015 International Journal of Computer Applications  
This paper discusses about the some of the recently adopted technique for analysis such medical data for an effective disease detection and classification with a contribution of exploring the research  ...  Owing to all these problems, it is almost impossible to apply the conventional data analysis algorithm for extracting teh knowledge.  ...  Hence, the so called medical data is basically captured from Electronic Medical Record (EMR) that consists of different forms of data e.g. i) contact information about patient, ii) photograph of patient  ... 
doi:10.5120/ijca2015905935 fatcat:zgx2wjqskngvpf5a57ycosi5aq
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