MedWise: Your Healthmate
1 Professor, Dept. of Computer Engineering, AISSMS Polytechnic, Pune, Maharashtra, India
2,3,4,5 Students, Dept. of Computer Engineering, AISSMS Polytechnic, Pune, Maharashtra, India ***
Abstract – This paper is about a medical assistant chat bot that will help cure chronic diseases by suggesting appropriate medicines. It includes information about artificial intelligence and its relativity in contemporary times. Furthermore, the description about the web applicationdevelopedis mentioned. Research and charts about associated fields such as technologies, architecture and healthcare are cited as well. The field of artificial intelligence is expanding rapidly and in context to that, it has become extremelyimportant for Gen Z to study and analyze about it, especially the domain professionals. When the question is about personal assistants, we have many which come as an integrated part of variety of devices; Cortana for Windows, Siri for iPhone and Google Assistant for Android. In healing art, artificial intelligence and machine learning have made their waytowards advancedand precise equipment’s and machinery. AI has put up a massive scope of achieving things that once were just visionary.
Key Words: Artificial Intelligence, Machine Learning, Decision-Tree, algorithms, database, future scope, technologies.
Abbreviations: AI – Artificial Intelligence, ML – Machine Learning, JS – JavaScript, XAI – Explainable Artificial Intelligence.
1. INTRODUCTION
HealthandHygieneareconsideredasthemostimportant factors when it comes to a satisfied and disease-free life. DuringthetimesofCOVID-19,availabilityofopenmedical stores was less and doctors found it difficult to attend patientswithoutthecovidsymptoms.Themedicineswere available however, due to lockdowns being declared all around the world, it became seemingly difficult to treat diseaseslikeviralfever.Individualssufferedthemost.Our projectideaevolvedfromthisaspect.Inthis,wedecidedto usetheveryfamousfieldofstudyi.e.,Artificialintelligence to solve this problem by developing an assistant chat bot that will help the individuals and people at times of adversity.Thesystemofthissoftware/webapplicationisa 6-phasesystemwhichhelps ittoperformatitslevel best. Machinelearning,asubsetoftherenownedAIaideduswith algorithmsandprogrammingskillsthatmadeitpossibleto achieve the goal. Even though the software currently manages to solve the problem on a lower level, there includestonnesofpotentialareaswhereoptimizationscan bemadeandmanynewfeaturescanbeadded.
1.1 Artificial Intelligence Today
ThehistoryofAIdateswaybacktoWorldWar2whenitwas aboutfinding ways to disconnectGermanCommunication endpoints.Thereafter,justbasedontheonequestion ‘Can machine think?’ proposed by Alan Turing, we see the wonders of AI in all of the other fields of study today. Artificial Intelligence is expanding rapidly in the fields of finance, research, economy, healthcare, logistics, manufacturing,automobiles,computers,gaming,retail,and marketing.
Besidesthis,AIhasmadeitsgrowthinmanycountriesall overtheglobe.TheuniquefeatureofAIthatmakesitstand outfromitsrelativecompetitivetechnologiesisitsoptimal scalabilityasknowledgecanjustkeepevolvinginthisfield. Machine learning, deep learning and neural networks are developing at a much faster pace compared to 90’s and is helpingvariousbusinessflourish.Extremehumanlaborhas reducedinaconsiderableamountallowing24x7servicesat manyplaces.
Chart – 1:ArtificialIntelligenceRevenueinWorldMarket
1.2 Software Overview
Themainroleofthisprojectwastohelpusergetthebest medicine suggestion possible in emergency cases. The results are personified and filtered based on user preferences.Inthiscasewehaveconsideredtheresponses receivedfromtheuserasthebasesofgeneratingtheresults. Theusercanselectanyoptionortypeinanythingandifthe algorithmfindsouttherelevantsearches,then,theprocess ofiteratingthroughdatasetbegins.Onceuserisdonewith
enteringthesymptoms,thebotfinallysuggeststhemedicine whichcanrelievetheuser.
An image / prototype has been provided to gain better insightofthedevelopment:-
Thegraphbelowshowstheuseofthisgreatfieldinthemany sidesofmedicalwhichisgrowingrapidlyasnewprogressis beingmade.
Thus,asdepicted,userwillenterthesymptomandthebot willrespondwiththeinformationandresultitwasableto generate.
Case: The user is suffering with viral flu. Question: 1)Thebotwillaskwhichmedicinetypetheuser prefers.
2) The bot will ask if the user experienced it recently.
3)Thenquestionsabout:placesbeento,throat pain?Chestpainandsimilarquestionsasked.
The goal here is to provide a personalized consultant like feelsothatuserfeelnotfeelintimidatedatanypointofdue course.
2. AI in Healthcare today
Especially in the market of USA, AI is being used to extensivelytreathighleveldiseases Studiesalsoshowthat theeffectofthesehavebeenratherefficientandreliable,too. Besidesthat,otherEuropeancountrieshavealsoinculcated thedisciplineofAIinvarioushealthcaresubsectors.Before this,therealwaysremainedaquestioninthemindsofpeople about the trust and reliability about the use of AI for treatment. However, transparency was developed by explainable artificial intelligence [XAI]. The data that is present in the field of health and sciences is far larger, compared to other industrial sectors. The maintenance, suggestions and sorting of this data has become relatively verysimplewiththeboomofAIinthemarkettoday.Remedy and research for variety of diseases was possible due to featuresofAI.
Chart -2: ArtificialIntelligenceinmedicalfield:Yesterday, TodayandTomorrow
3. Technologies
Used
This project was developed by using the combination of varioustechnologies,languagesandalgorithmswhichmade ittowheretheoptimumfunctionalitywasachieved.
3.1 Python - Flask
Python is an open source, extensible, scalable, and heavy processingcapableprogramminglanguagethatweusedto developthebackendofourapplication.Asitsupportsthese features and multi-processed computing, choosing this language for using ML algorithmic implementation was surelythebestchoicewecouldmake.Withreferencetothat, theverypopularframeworkofPythoni.e.,Flaskwasused. This is a micro-framework that help the process of developingwebrelatedapplicationeasyandhard-codefree.
3.2 JavaScript
Though JS is a scripting language, by observing the high demand for it in the market, this was the best option we chose.JSsupportedvariousimportantandrequiredfeatures withreferencetoourproject;light-weightandclientside–becausepythonwasalreadyoccupyingalargememoryspace ontheback-end.JSwasusedtodeveloptheUIandfront-end oftheapplication.ThoughintegrationwithPythonwasabit morecomplicated,itwasmanagedusingflaskasmentioned earlier.
4. Machine Learning [Project Aspect]
Machine learning is the most important feature to be observedforinthisprojectastheprogramcontinuestolearn andgrowitswordstashwithuser’sdecisionsandchoices. Thedecision-treealgorithmisusedincontexttosearching
outfortheparticularandspecificmedicineinassociationto theillnesssufferedbyuser.
The segregation and management of this is made in the backendasfollows:-
Phase 2: -
Flask is a python framework, especially designed to work with web framework and create AI applications. The libraries act as a well-developed interface. The user’s databasewillcontaintheinformationthatisnecessaryfor usertologintoapplicationandenter/interactwithbot.
Phase 3: -
Thisincludesthealgorithmsthatwillbeusedtoprocessthe datathatwillbetakenfromtheuserinordertogenerateand outputinthefuturephases.
Phase 4: -
5. System Architecture
Thearchitecturedevelopedwassimpleandin3-tierformat. However,tosimplifythedevelopmentprocessitwassplitup into6phases:-
Phase 1: -
Inphase1,thereare2modules.Eachisresponsibleforits own role. User experience will include the standard animationandsmoothtransitionthatneedtobe codedas per desire. Whereas, the elements are the ones user will interactinordertoenter/login/seedata.
This includes a module which is solely responsible to generatethevisibleoutputtotheuser,butnotyetshowit, insteadforwardittoprocessing/filtering.
Phase 5: -
Thisisthemostimportantmodulewherein,thedataabout medicinesthatwasgenerated,willbefilteredbasedonusers answersorqueriesasked.
Phase 6: -
The actual visible output for the user will be generated, styled,andgiveninthismoduleandphaseoftheapplication.
6. Future Scope
Thisprojectismadeto where medicinesforsimplepains, acupressureandviral diseasesandflu’scan besuggested. However, on a much larger scale, by including report scanning, eye scan, vital scanning, and taking in data for bloodinformation,wecan makethisbotafullyfunctional consultant. The medicines used are very few due to noncost-effective API’s. However, if APIs are integrated many more types and variants of medicines can be included. A provision has also been made wherein, the developer can includethedoctorsandmedical professionalsnearbyasa part of full body checkup or treatment consultation for severe diseases. Thus, potential scope in this bot is extremelyhigh.
CONCLUSION
Artificial Intelligence is a real-time problem solving, interesting and feature full domain of study. With the knowledgeonecanbuildapplicationthatcansolvesocial/ officialpurpose.Fromtheresearchanddevelopmentofthe project,wefoundoutthatAIcanbeintegratedwithmany languagesthusmakingitavailableformultipurposeusage. AIprojectssuchaschatbotsandanalyticaldatatrackerare being developed and used in many industries to avoid extremeandrepetitivelabor. Asitisadevelopmentalfield,
researchersanddevelopersfinditdifficulttoimplement,but as its important to keep it progressive, programming continues. As AI and ML continues to grow, the project’s mission objective was to use the maximum possible knowledgeofthesefieldstodevelopanapplicationhelpful tosociety
ACKNOWLEDGEMENT
Everytask regardlessofits sizerequiresa good teamand supportivepeopletomakeitanappreciablesuccess.Sincere thanks to these people who mentored and assisted to completetheprojectwithitsresearch.Theencouragement provided by them, kept us motivated aiding us to get the preparationsandprojectdoneprofessionallywithindustry standards.
Special thanks to Mr. V.N. Kukre for his utmost support, guidanceandmentoringthroughouttheproject.Thanksto Ms. Amrita Shirode for being with us in the journey of documentationandinformationvalidation.
And of course, thanks to the management of AISSMS Polytechnic for providing us such an opportunity to learn fromthisexperience.
REFERENCES
[1] Prakhar Srivastava, Nishant Singh, “Automatized MedicalChatbot(Medibot)”,2020InternationalConference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 07 May 2020, doi: 10.1109/PARC49193.2020.236624.M.Young,TheTechnical Writer’sHandbook.MillValley,CA:UniversityScience,1989.
[2] AsthaWahal,MuskanAggarwal,T.Poongodi,“IoTbased Chatbots using NLP and SVM Algorithms”, 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 17 August 2022, doi: 10.1109/ICIEM54221.2022.9853095.
[3] NudtapornRosruen,Taweesak Samanchuen,“Chatbot Utilization for Medical Consultant System”, 2018 3rd Technology Innovation Management and Engineering ScienceInternationalConference(TIMES-iCON),24January 2019,doi:10.1109/TIMES-iCON.2018.8621678.
[4] NingLi,LiZhao,Ai-XiaChen,Qing-WuMeng,Guo-Fang Zhang,“Anewheuristicofthedecisiontreeinduction”,25 August2009,doi:10.1109/ICMLC.2009.5212227.
[5] Bendi Venkata Ramana, Raja Sarath Kumar Boddu, “Performance Comparison of Classification Algorithms on Medical Datasets”, 14 March 2019, doi: 10.1109/CCWC.2019.8666497.
[6] Shu-Hui Hung, Chin-Hsien Wang, Hsin-Hung Lin, “Preparingtouseinformaticsmedicine,andtrendsintheage ofmeaningfuluse”,13October2014,isbn:978-1-89084329-8
[7] Patrick Vogel, Thijs Klooster, Vasilios Andrikopoulos, Mircea Lungu, “A Low-Effort Analytics Platform for Visualizing Evolving Flask-Based Python Web Services”, 2017 IEEE Working Conference on Software Visualization (VISSOFT), 02 November 2017, doi: 10.1109/VISSOFT.2017.13
[8] https://emerj.com/ai-sector-overviews/valuing-theartificial-intelligence-market-graphs-and-predictions/
[9] https://svn.bmj.com/content/2/4/23
BIOGRAPHIES
Prof Vijay Kukre, resident of Pune City, Maharashtra, India, Head of Department [HOD] of Computer Engineering Department of AISSMS Polytechnic, Pune 23 years of teaching experience and 5 years of industrialexperience.Contributionin 17international journals andauthor of17books. Professional Memberof ISTEandIEI.
Mr. Sankalp Indish, residentof,Pune City, Maharashtra, India, Student of AISSMSPolytechnicPune,ThirdYear ofDiplomainComputerEngineering withindustryexperienceof1yearin Full-Stack and GUI development RankerinSSCandDiploma
Mr. Parth Hase, residentof,Punecity, India, Student of AISSMS POLYTECHNIC Third Year Diploma, Computer Engineering. Research interestliesintheareaofAIandML.
Mr. Rayan Galuragi,residentofPune, Maharashtra, India, is pursuing DiplomainComputerEngineeringat AISSMS Polytechnic, Pune Interest includes,webdevelopment,graphics, &pythonprogramming.
Mr. Tanmay Gardi, residentof,Pune, Maharashtra, India, is currently achieving a Diploma, in the field of ComputerEngineering,fromAISSMS Polytechnic, Pune Interest lies in using Artificial Intelligence to solve socialproblems
