𝐢𝐌𝐞𝐝𝐢𝐜

𝐇𝐢𝐠𝐡-𝐭𝐞𝐜𝐡 𝐚𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐥𝐞 𝐜𝐚𝐫𝐞 𝐟𝐨𝐫 𝐚𝐥𝐥 —𝐚𝐥𝐥 𝐢𝐧 𝐨𝐧𝐞 𝐩𝐥𝐚𝐜𝐞.

➤ 𝐖𝐡𝐚𝐭 𝐃𝐨𝐞𝐬 𝐢𝐌𝐞𝐝𝐢𝐜 𝐎𝐟𝐟𝐞𝐫? 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐈𝐭 𝐒𝐭𝐚𝐧𝐝 𝐎𝐮𝐭?

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ iMedic encompasses a wide variety of versatile uses, as it composes of a COVID-19 Detector , Cardiovascular Disease Detector, Breast Cancer Detector (via X-Ray images), Lung Cancer Detector, and a 3D Chaotic Systems Graphical Calculator all in one place. Indeed, iMedic explores all aspects of MecSimCalc, and MecSimCalc's exciting potential, spectacular opportunities, and striking possibilities! iMedic notably uses trained machine learning models, preprocessed image training and algorithms, complex numerical and graphical computation, and numerous libraries, datasets, and big data.

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ From the detection of infectious, cancerous, and cardiovascular diseases using a variety of means; to academic tools such as 3D computations of Chaos Theory, iMedic is a multipurpose platform that uses ML, AI, libraries, and big data. As an app created for Third World countries & rural areas, it is for individuals who do not have access to medical support nor fast and efficient examination. iMedic is designed to be used frequently to evaluate one's risks for the most common medical conditions, and to provide users with knowledge of their current health. In addition, iMedic includes cutting-edge tools for research. By including a chaos calculator—that computes & graphs chaotic systems such as the Lorenz Attractor & Logistic Map with yielded data via input—iMedic has many applications to fields extending far beyond medicine, such as data science, math, and CS as well.

➤ 𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐢𝐌𝐞𝐝𝐢𝐜 𝐒𝐨𝐥𝐯𝐞𝐬

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Health disparities, commonly referred to as the lack of access to healthcare, is becoming increasingly precedent around the world. Differential access to medical care, treatment modalities, and disparate outcomes among Third World countries and rural areas have been validated in countless studies. The Tracking Universal Health Coverage: First Global Monitoring Report, states that “400 million people presently lack access to healthcare and health services". Additionally, according to Statistique Canada, "in 2019, 4.6 million people aged 12 and older reported that they did not have a regular health care provider they see or talk to when they need care or advice for their health". Thus, iMedic enables for a fast, easy, and efficient means of diagnosis for individuals who do not have adequate access to healthcare. As an all-in-one application, users can conveniently receive reliable examination on a variety of the most common diseases, free of charge. It enables users to remain conscious of their ongoing health and updated on their well-being, and aware if ever they need to take immediate and effective action. From infectious and cardiovascular diseases, to the most common yet destructive cancers, iMedic truly encapsulates it all.

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ In addition, there currently exists little, if not none, all encompassing applications that handle the complex computation of Chaos Theory; composing of the two most widely studied dynamical systems in the field: the Lorenz Attractor—otherwise known as the “Butterfly Effect”—and the Logistic Map, all in one place. Such investigated systems, responsible for influential and surfacing discoveries in numerous areas such as weather prediction, quantum physics, economics, business, biology, quantum chemistry, population dynamics, medicine, and more, can be incredibly difficult to analyze for academic research without the proper tools. Thus, iMedic not only computes and automates the needed complex calculations via yielded user-input (sigma, beta & rho), but graphs them in 3D, along with numerous diagrams that display the bifurcations, XY/XZ/YZ axes perspectives, and linear chaotic behaviour of the user's inputted values. This, in turn, allows the user to manipulate, create, and construct chaotic systems.

"Chaos Theory /ˈkeɪɑːs ˈθɪəri/ : the branch of mathematics that deals with complex systems whose behavior is highly sensitive to slight changes in conditions, so that small

alterations can give rise to strikingly great consequences. Thus, the study of apparently random or unpredictable behaviour in systems governed by deterministic laws"

- Oxford Dictionary

➤ 𝐇𝐨𝐰 𝐭𝐨 𝐔𝐬𝐞 𝐢𝐌𝐞𝐝𝐢𝐜

1.‎ ‎ ‎Select the utility you would like to use:

2.‎ ‎ Enter the required information for your selected utility and press submit. You do not need to enter information for other utilities if they are not selected.

3.‎ ‎ The results of your diagnosis and/or computation will subsequently be displayed.

Yes, it's that convenient!

➤ 𝐇𝐨𝐰 𝐢𝐌𝐞𝐝𝐢𝐜 𝐖𝐚𝐬 𝐁𝐮𝐢𝐥𝐭

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ iMedic was created in MecSimCalc. The application utilizes ML models in multiclass classification and ML algorithms in supervised and reinforcement learning. With numerous datasets, libraries and documentation from Kaggle and various other sources, we were able to train and preprocess our models. Within the span of a week, we were also additionally able to create a complex computational tool. While the creation of iMedic was an immense challenge, we were able to successfully accomplish everything we had hoped to within the span of a week by, ultimately, sacrificing many hours of sleep.

➤ 𝐖𝐡𝐚𝐭'𝐬 𝐍𝐞𝐱𝐭 𝐟𝐨𝐫 𝐢𝐌𝐞𝐝𝐢𝐜 ?

‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ iMedic hopes to revolutionize diagnostic care across areas without medical access. To expand our reach, in addition to the versatile features of the application, iMedic will soon have a real-time hospital locator using MecSimCalc's interactive geospatial map component, which will be responsible for locating the closest hospitals to the user. The app will also include a skin cancer detector via inputted images of the user's skin, which already has begun development. There are many opportunities offered by MecSimCalc that iMedic plans on employing and creating with. Additional future plans include the utilization of python code to occasionally email users to get an updated diagnosis and/or check-up, as well as advice on their condition. At iMedic, accuracy is utmost important, so we hope to incorporate even more databases into our machine learning algorithms in order to improve our accuracy for all diagnoses, and we ultimately hope to allow users to import csv files of their past medical history to allow our tools to give them more accurate care.

➤ 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐢𝐞𝐬

𝟏. 𝐇𝐞𝐚𝐫𝐭 / 𝐂𝐚𝐫𝐝𝐢𝐨𝐯𝐚𝐬𝐜𝐮𝐥𝐚𝐫 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧

𝟐. 𝐂𝐎𝐕𝐈𝐃-𝟏𝟗 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧

𝟑. 𝐋𝐮𝐧𝐠 / 𝐁𝐫𝐨𝐧𝐜𝐡𝐢𝐚𝐥 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧

𝟒. 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧

𝟓. 𝐂𝐡𝐚𝐨𝐬 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐚𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧

Note: as a signature of chaos, results drastically change depending on the inputted values. Images are of the default input values.

The information and data used in the application are obtained from numerous credible sources. They are cited below:

ncepts/chaos-theory4.htm

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