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Cognitive Neurodynamics

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17-01-2022 | Research Article

An ensemble approach for healthcare application and diagnosis using natural language processing

Authors: Badi Alekhya, R. Sasikumar

Published in: Cognitive Neurodynamics | Issue 5/2022

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Abstract

Integration of healthcare records into a single application is still a challenging process There are additional issues when data becomes heterogeneous, and its application based on users does not appear to be the same. Hence, we propose an application called MEDSHARE which is a web-based application that integrates the data from various sources and helps the patient to access all their health records in a single point of source. Apart just from the collection of data, this portal enables the process of diagnosis using Natural language processing. The process is carried out by fuzzy logic ruleset which is generated by using NLP packages. The resulted information is given to the SVM classifier which helps in the prediction of diseases resulting in 89% of accuracy and standing the best compared to other classifiers. Finally, the observations resulted are sent to the front end application and the concerned user mobile through text message in their own native language for which translation package is been used.

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Ash JS, Berg M, Enrico Coiera (2004) Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc 11(2):104–112PubMedPubMedCentralCrossRef

Belete DM, Huchaiah MD (2021) Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results.Int J Comput Appl

Bird S (2006) NLTK: the natural language toolkit. In: Proceedings of the COLING/ACL 2006 interactive presentation sessions, pp 69–72

Bodenreider O (2004) The unified medical language system (UMLS): integrating biomedical terminology. Nucleic Acids Res 32(suppl_1):D267–D270PubMedPubMedCentralCrossRef

Cameron G, Cameron D, Megaw G, Bond R, Mulvenna M, O’Neill S, Armour C, McTear M (2018) Assessing the usability of a chatbot for mental health care. In: International conference on internet science. Springer, Cham, pp 121–132

Claesen M, De Smet F, Johan AK, Suykens, De Moor B (2014). Fast prediction with SVM models containing RBF kernels. arXiv preprint arXiv:1403.0736

Corral-Plaza D, Medina-Bulo I, Ortiz G, Boubeta-Puig J, UCASE Software Engineering Research Group (2020) A stream processing architecture for heterogeneous data sources in the internet of things. Comput Stand Interfaces 70:103426CrossRef

Coulter A, Collins A (2011) Making shared decision-making a reality. King’s Fund, London

Dick RS, Elaine B, Steen, Detmer DE (eds) (1997) eds. The computer-based patient record: an essential technology for health care. National Academies Press

Eyheramendy S, Lewis DD, Madigan D (2003) On the naive bayes model for text categorization. In: International workshop on artificial intelligence and statistics. PMLR, pp. 93-100

Ghasemzadeh H, Ostadabbas S, Pantelopoulos A (2012) Wireless medical-embedded systems: a review of signal-processing techniques for classification. IEEE Sens J 13(2):423–437CrossRef

Gowthul Alam MM, Baulkani S (2019b) Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction. Knowl Inf Syst 60(2):971–1000CrossRef

Gowthul Alam MM, Baulkani S (2017) Reformulated query-based document retrieval using optimised kernel fuzzy clustering algorithm. Int J Bus Intell Data Min 12(3):299

Gowthul Alam MM, Baulkani S (2019a) Geometric structure information based multi-objective function to increase fuzzy clustering performance with artificial and real-life data. Soft Comput 23(4):1079–1098CrossRef

Habib M, Faris M, Alomari A, Faris H (2021) AltibbiVec: a word embedding model for medical and health applications in Arabic language. IEEE Access

Hardin M, Chhieng DC (2007) Data mining and clinical decision support systems. In: Clinical decision support systems. Springer, New York, NY, pp 44–63

Haseena KS, Anees S, Madheswari N (2014) Power optimization using EPAR protocol in MANET. Int J Innov Sci Eng Technol 6:430–436

Johnson DE, Oles FJ, Zhang T, Goetz T (2002) A decision-tree-based symbolic rule induction system for text categorization. IBM Syst J 41(3):428–437CrossRef

Jungmann F, Kämpgen B, Mildenberger P, Tsaur I, Jorg T, Düber C, Mildenberger P, Kloeckner R (2020) Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis. Int J Med Inf 137:104106CrossRef

Kandpal P, Jasnani K, Raut R, Bhorge S (2020) Contextual chatbot for healthcare purposes (using deep learning). In: 2020 fourth world conference on smart trends in systems, security and sustainability (WorldS4). IEEE, pp 625–634

Kaur B (2020) Disasters and exemplified vulnerabilities in a cramped Public Health Infrastructure in India. Int J Disaster Risk Manag 2(1):15–22CrossRef

Kaur H, Sohn S, Wi C-I, Ryu E, Park MA, Bachman K, Kita H et al (2018) Automated chart review utilizing natural language processing algorithm for asthma predictive index. BMC Pulm Med 18(1):1–9CrossRef

Kavitha D, Ravikumar S (2021) IOT and context-aware learning‐based optimal neural network model for real‐time health monitoring. Trans Emerg Telecommun Technolog 32(1):e4132

Kothmayr T, Schmitt C, Wen Hu, Brünig M, Carle G (2013) DTLS based security and two-way authentication for the Internet of Things. Ad Hoc Netw 11(8):2710–2723CrossRef

Légaré F, Witteman HO (2013) Shared decision making: examining key elements and barriers to adoption into routine clinical practice. Health Aff 32(2):276–284CrossRef

Li X, Wang H, He H, Du J, Chen J, Wu J (2019) Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks. BMC Bioinform 20(1):1–12CrossRef

Liu C, Ta CN, Rogers JR, Li Z, Lee J, Butler AM, Shang N, Kury FSP, Wang L, Shen F, Liu H (2019) Ensembles of natural language processing systems for portable phenotyping solutions. J Biomed Inf 100:103318CrossRef

Morato J, Marzal MA, Lloréns J, Moreiro J (2004) Wordnet applications. In: Proceedings of GWC, pp 20–23

Nanjappan M, Albert P (2019) Hybrid-based novel approach for resource scheduling using MCFCM and PSO in cloud computing environment. Concurr Comput Practice Exp. https://doi.org/10.1002/cpe.5517

Nanjappan M, Natesan G, Krishnadoss P (2021) An adaptive neuro-fuzzy inference system and black widow optimization approach for optimalresource utilization and task scheduling in a cloud environment. Wireless Pers Comm 121(3):1891–1916. https://doi.org/10.1007/s11277-021-08744-1

Nepal B, Monplaisir L, Singh N (2005) Integrated fuzzy logic-based model for product modularization during concept development phase. Int J Prod Econ 96(2):157–174CrossRef

Névéol A, Zweigenbaum P (2015) Clinical natural language processing in 2014: foundational methods supporting efficient healthcare. Yearb Med Inform 10(1):194PubMedPubMedCentral

Popowich F (2005) Using text mining and natural language processing for health care claims processing. ACM SIGKDD Explor Newsl 7(1):59–66CrossRef

Ravikumar S, Kavitha D (2021) CNN-OHGS: CNN‐oppositional‐based Henry gas solubility optimization model for autonomous vehicle control system. J Field Robot

Ravikumar S, Kavitha D (2020) IoT based home monitoring system with secure data storage by Keccak–Chaotic sequence in cloud server. J Ambient Intell Human Comput 1–13

Rejeesh MR, Thejaswini PMOTF (2020) Multi-objective optimal trilateral filtering based partial moving frame algorithm for image denoising. Multimed Tools Appl 79:28411–28430. https://doi.org/10.1007/s11042-020-09234-5CrossRef

Roberts A (2017) Language, structure, and reuse in the electronic health record. AMA J Ethics19(3):281–288PubMedCrossRef

Schriml LM, Arze C, Nadendla S, Chang Y-WW, Mazaitis M, Felix V, Feng G, Kibbe WA (2012) Disease ontology: a backbone for disease semantic integration. Nucleic Acids Res 40(D1):D940–D946PubMedCrossRef

Shickel B, Tighe PJ, Bihorac A, Rashidi P (2017) Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE J Biomed Health Inform 22(5):1589–1604PubMedPubMedCentralCrossRef

Solomon MD, Tabada G, Allen A, Sung SH, Go AS (2021) Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records.Cardiovasc Digital Health J

Srivastava P, Singh N (2020) Automatized medical Chatbot (Medibot). In: 2020 international conference on power electronics & IoT applications in renewable energy and its control (PARC). IEEE, pp 351–354

Sivaranjani J, Madheswari AN (2017, March). A novel technique of motif discovery for medical big data using hadoop. In: 2017 conference on emerging devices and smart systems (ICEDSS). IEEE, pp 214–217

Srinivasan A, Madheswari AN (2018) The role of smart personal assistant for improving personal healthcare. International Journal of Advanced Engineering, Management and Science, 4(11), p.268274

Stenetorp P, Pyysalo S, Topić G, Ohta T, Ananiadou S, Jun’ichi Tsujii (2012) BRAT: a web-based tool for NLP-assisted text annotation. In: Proceedings of the demonstrations at the 13th conference of the European chapter of the Association for Computational Linguistics, pp 102–107

Sundararaj V, Selvi M (2021) Opposition grasshopper optimizer based multimedia data distribution using user evaluation strategy. Multimed Tools Appl 80(19):29875–29891CrossRef

Sundararaj V (2019) Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction. Int J BioMed Eng Technol 31(4):325CrossRef

Sundararaj V, Anoop V, Dixit P, Arjaria A, Chourasia U, Bhambri P, Rejeesh MR, Sundararaj R (2020) CCGPA-MPPT: cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system. Prog Photovolt Res Appl 28(11):1128–1145CrossRef

Tvardik N, Kergourlay I, Bittar A, Segond F, Darmoni S, Metzger MH (2018) Accuracy of using natural language processing methods for identifying healthcare-associated infections. Int J Med Inf 117:96–102CrossRef

Sundararaj V (2016) An efficient threshold prediction scheme for wavelet based ECG signal noise reduction using variable step size firefly algorithm. Int J Intell Eng Syst 9(3):117–126

Walczak S (2005) Artificial neural network medical decision support tool: predicting transfusion requirements of ER patients. IEEE Trans Inf Technol Biomed 9(3):468–474PubMedCrossRef

Walshe K, Rundall TG (2001) Evidence-based management: from theory to practice in health care. Milbank Q 79(3):429–457PubMedPubMedCentralCrossRef

Wu J, Chen J, Zhang Q, Tang Z (1990) Transformation and identification of recombinant plasmid pAT153 containing HCMV gene Hind III F fragment and its clinical application. J West China Univ Med Sci 21(2):117–120

Xie Q, Sundararaj V, Mr R (2021) Analyzing the factors affecting the attitude of public toward lockdown, institutional trust, and civic engagement activities. J Commun Psychol

Yu B, He Z, Xing A, Lustria MLA (2020) An informatics framework to assess consumer health language complexity differences: proof-of-concept study. J Med Internet Res 22(5):e16795PubMedPubMedCentralCrossRef

Zhang Y, Fong S, Fiaidhi J, Mohammed S (2012) Real-time clinical decision support system with data stream mining. J Biomed Biotechnol

Zhong Q-Y, Mittal LP, Nathan MD, Brown KM, González DK, Cai T, Finan S et al (2019) Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem. Eur J Epidemiol 34(2):153–162PubMedCrossRef

Title: An ensemble approach for healthcare application and diagnosis using natural language processing
Authors: Badi Alekhya
R. Sasikumar
Publication date: 17-01-2022
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 5/2022
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-021-09758-y

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