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HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease.The Main Objective Of The Project Is To Develop A System For H...
DIABETES PREDICTION USING MACHINE LEARNING
Diabetes Is A Habitual Metabolic Illness That Affects Millions Of People Worldwide. The Early Discovery And Operation Of Diabetes Are Critical In Precluding Complications And Enhancing Patient Issues. Machine Learning Algorithms Have...
HEART DISEASE PREDICTION USING MACHINE LEARNING ALGORITHM
Heart Attack Disease Is One Of The Leading Causes Of The Death Worldwide. In Today’s Common Modern Life, Deaths Due To The Heart Disease Had Become One Of Major Issues, That Roughly One Person Lost His Or Her Life Per Minute Due To Heart Il...
A MACHINE LEARNING BASED APPROACH TO ANALYSE AND PREDICT WATER QUALITY
Water Is A Need For All Living Things. Water Is Required For Numerous Daily Activities Such As Drinking, Washing, Bathing, And Cooking. If The Water Is Of Poor Quality, It Is Unsuitable For Drinking And Other Activities. Water Quality Is Of...
Optimized gene selection and classification of disease from genes data using machine learning.
Cancer Is The Major Leading Reason Of Death Around The World. However, The Early Identification And Prediction Of A Cancer Type Is Very Critical For Patient’s Health. The Classification Of Cancer’s Genes Data From Different Types Of Disease...
FORECASTING EMPLOYEE TURNOVER
Supervised Machine Learning Methods Are Described, Demonstrated And Assessed For The Prediction Of Employee Turnover Within An Organization. In Our Project, Numerical Experiments For Real And Simulated Human Resources Datasets Representing...
FAKE NEWS DETECTION USING MACHINE LEARNING ALGORITHMS- A REVIEW
The Increasing Spread Of Fake News Poses A Serious Threat To The Credibility Of Information Sources And Public Discourse. Machine Learning Algorithms Have Been Increasingly Used To Identify Fake News And Differentiate Them From Real News. I...
SECURE FILE SHARING ON CLOUD USING CELLULAR AUTOMATA BASED ENCRYPTION
Data Lake Was Architected From The Ground Up For Cloud Scale And Performance. With Azure Data Lake Store Any Organization Can Analyse All Of Its Data In A Single Place With No Artificial Constraints. The Data Lake Store Can Store Trillions...
BIGDATA ANALYTICS IN HEALTHCARE FOR HEART DISEASE PREDICTION USING MACHINE LEARNING
In The Present Era, Heart-related Illnesses Are Quite Prevalent. This Occurs Because Of Changes In Eating And Living Patterns. The Heart-related Disease Can Be Life-threatening, As The Population Grows To Make A Diagnosis Is Challenging. It...
LOAN PREDICTION USING MACHINE LEARNING
Loans Account For A Huge Chunk Of Bank Profits. Even Though Many Individuals Are Looking For Loans. Finding A Legitimate Candidate Who Will Return The Loan Is Difficult. Several Misunderstandings May Arise While Selecting The Real Candidate...
Securing Device to Device Networks under Jamming attack conditions
Device To Device Networks Are Being Developed For Reducing The Load On Existing Wireless Networks. The Main Idea Is To Distribute The Load So As To Avoid Network Congestion. Device-to-device (D2D) Communication Is Expected To Play A Signifi...
MOLECULAR IDENTIFICATION AND DETECTION OF VIRULENCE GENES AMONG PSEUDOMONAS AERUGINOSA ISOLATED FROM DIFFERENT INFECTIOUS ORIGINS
Background And Objectives: Pseudomonas Aeruginosa Possesses A Variety Of Virulence Factors That May Contribute To Its Pathogenicity. The Aim Of This Study Was To Evaluate OprI, OprL And ToxA Genes For PCR Identification Of Clinical P. Aerug...
QUICK CHANGE: POST-TRANSCRIPTIONAL REGULATION IN PSEUDOMONAS
Pseudomonas Species Have Evolved Dynamic And Intricate Regulatory Networks To Fine-tune Gene Expression, With Complex Regulation Occurring At Every Stage In The Processing Of Genetic Information. This Approach Enables Pseudomonas To Generat...
PREDICTION OF STOCK MARKET TRENDS USING NEWS HEADLINES
In Today’s World A Single Source Of Income Is Not Sufficient, So People Opt To Various Methods Of Financing Themselves, And One Such Source Is Stock Market. However, The Stock Market Today Possesses A Lot Of Menace. Therefore, Already A Lot...
EEG SIGNALS AND MACHINE LEARNING BASED FACIAL EMOTION RECOGNITION
Emotions Are Time Varying Affective Phenomena That Are Elicited As A Result Of Stimuli. Videos And Movies In Particular Are Made To Elicit Emotions In Their Audiences. Detecting The Viewers’ Emotions Instantaneously Can Be Used To Find The...