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Papers tagged with "Symptom"
Enhancing The Recommendation Model For Disease Prediction Based On User Symptoms Using Machine Learning
Healthcare Is One Of The Most Important Research Fields With The Rapid Improvement Of Technology And Increase In Data. It Is Difficult To Handle Huge Amounts Of Patient Data. Big Data Analytics Can Be Used To Handle Such Data. There Are A L...
AI-Based Intelligent Multi-Disease Prediction System Using Adaptive Symptom Analysis - A Comparative Study Of Supervised Learning Algorithms For Clinical Disease Classification
The Integration Of Artificial Intelligence Into Clinical Healthcare Settings Has Gained Remarkable Momentum Over The Past Decade, Offering Unprecedented Opportunities To Augment Diagnostic Capabilities And Extend Medical Reach To Underserve...
A Review On Various Herbal Plants And Behavioral Model’s On Parkinson’s Disease
Parkinson’s Disease Is A Chronic Neurodegenerative Disorder With A Myriad Of Motor And Non-motor Symptoms. Its Management Is Essentially Palliative, And It Can Extend To Three To Four Decades. Device-assisted Therapy Including Deep Brain St...
UNDERSTANDING ANTI-INFLAMMATORY & NSAID AGENTS: A PUBLIC AWARENESS STUDY
Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Represent One Of The Most Widely Prescribed As Well As Over-the-counter Medications Globally. They Are Routinely Used For The Management Of Pain, Fever, And Inflammation, And Have Become An Int...
DATA-DRIVEN SOLUTIONS FOR BACK AND KNEE PAIN ASSESSMENT, THERAPY OPTIMIZATION, AND EFFECTIVENESS ANALYSIS USING MACHINE LEARNING
A Lot Of People Experience Regular Occurrences Of Back And Knee Pain Throughout Their Daily Routines. This Project Provides Users With A Systematic Approach To Control And Diminish These Two Types Of Pain. Users First Need To Create An Acco...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
A REAL TIME DRUG ANALYSIS SYSTEM USING EFFICIENT MACHINE LEARNING ALGORITHM
Virtual Health Communities Provide A Wealth Of Medical Information Valuable To Medical Practitioners, System Admins, Patients .Our System Collects Real-time Medical Reports From Reliable Sources, Where Patients Share Their Perspectives And...
PET ANIMAL DISEASE PREDICTION USING MACHINE LEARING ALGORITHM
The Main Objective Of The Project Is To Identify And Predict Diseases In Pet Animals Based On Their Symptoms. Disease Prediction Is A Machine Learning Based System Which Primarily Works According To The Symptoms Given By A User. The Disease...
FORMULATION AND EVALUATION OF HERBAL TABLET BY USING FENNEL AND GINGER FOR MENSTRUAL CRAMPS
Menstruation Is A Natural Aspect Of A Woman’s Life, Yet It Often Brings Along A Host Of Uncomfortable Symptoms And Challenges. From Painful Cramps To Mood Swings And Irregular Periods, Managing Menstrual Problems Requires A Holistic Approac...
WELLNESS CHATBOT
Healthcare Plays A Crucial Role In Maintaining A Good Quality Of Life, Yet Many People May Lack Knowledge About Various Illnesses And Their Symptoms. Particularly For Younger Individuals, Accessing Medical Care Through Traditional Means Lik...
DIABETES MELLITUS: A REVIEW
Diabetes Is A Condition That Affects The Pancreas And Causes It To Stop Secreting Insulin Into The Bloodstream. Without Insulin, Glucose Cannot Penetrate Into The Cells, Depriving Every Cell In The Body Of The Energy That Glucose Provides....
A REVIEW ON RECURRENT ISCHEMIC STROKE
Stroke Is A State Of Focal Neurological Deficit Of An Abrupt Onset, Presumably Of Vascular Origin And It Can Be Ischemic (85%) Or Haemorrhagic (15%). In Haemorrhagic Stroke Mortality Rates Are High (50%) While In Ischemic Strokes, Mortality...
A REVIEW : STROK
The Knowledge Of The Risk Factors For Stroke In Stroke Survivors Was Also Very Low And The Knowledge Varied Among The Subjects Depending On Their Level Of Education. Our Findings Strongly Recommend That Effective Control Of Blood Pressur...
FACE MASK DETECTION USING DEEP LEARNING FOR SAFETY PROTOCOL
The Current COVID-19 Scenario Requires An Efficient Face Mask Detection Application. The Main Goal Of This Project Is To Implement This System At The Entrances Of Universities, Airports, Hospitals And Offices Where COVID-19 Is Very Likely T...
A REVIEW ON EBOLA VIRUS
Human Ebola Virus Disease Can Be Caused By Four Viruses: Sudan Virus, Tai Forest Virus, Bundibugyo Virus, And Ebola Virus (EBOV, Species Zaire Ebolavirus). Ebola Virus Disease Is A Life-threatening Disease. Due To A Lack Of Timely Identifi...