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A STUDY OF EXPERT SYSTEM FOR DETECTION OF VARIOUS DISEASES
In the field of medical regularly handles enormous amounts of data. Handling huge data by conventional methods can affect the results. Algorithms for machine learning can be used to find out facts in medical research, in particular for disease prediction. Expert System with artificial intelligence technology, Data mining technology has also been extensively developed, which has promoted the development of for detection and diagnosis of different diseases. The purpose this study aims to know the detection of brain, heart, kidney etc with the help of different algorithms such as Feedforward Backpropagation, Support Vector Machine, Generalized Regression Neural Network, Radial Basis Function and association rules in data mining. This study introduces the above neural network techniques in detail and experiments on medical data collected from hospital. The experimental results show that the some neural network techniques will detect the disease based on medical data collected from hospital and recommend medicine. Applying neural network techniques and data mining techniques based medical data disease detection has greatly improved the level of medical detections and understandings.
REVIEW ON IOT (INTERNET OF THINGS) PARADIGM AND ITS APPLICATIONS
ANTIMICROBIAL ASSAY AND 4, 6 - DIPHENYL- 3, 4-DIHYDROPYRIMIDINE-2(H)-ONE
Pyrimidine is a heterocyclic aromatic organic compound similar to benzene and pyridine, containing two nitrogen atoms at positions 1 and 3 of the six-member ring. It is isomeric with two other forms of diazine. The pyrimidine skeleton is of great importance to chemists as well as biologists as it is available in a large variety of naturally occurring compounds and in clinically useful molecule having diverse biological activities. Two general method are usually employed, the cylinder-plate (or cup-plate) method and the turbidimetric (or tube assay) method. The antifungal activity performed by either in vitro or in vivo methood.
THE EFFECT OF MAGNETOELECTRIC COUPLING ON ATTENUATION CONSTANT OF SURFACE POLARITONS IN MULTIFERROICS
MODEL ANALYSIS OF TRAVELING IN THE INTEGRATED MODEL OF MADANI EDUCATION AREA IN THE CITY OF PALU
INVESTIGATION OF THE EFFECT OF LPG ON THE PERFORMANCE AND FRICTIONAL POWER LOSS FOR MULTI CYLINDER SI ENGINE
VALIDATION OF DEVELOPMENT: TRAINING MANAGEMENT BASIC ENGLISH THROUGH THE ADDIE MODEL IN PRIVATE SCHOOL TEACHERS
BRAIN HAEMORRHAGE SEGMENTATION USING DISCRETE WAVELET TRANSFORM
CONTROL & NAVIGATION IN ROBOTS USING REINFORCEMENT LEARNING
MODULAR MULTILEVEL CONVERTER WITH PS-PWM TECHNIQUE AND SHORTING ALGORITHM FOR BATTERY MANAGEMENT OF AN ELECTRIC VEHICLE
REVIEW OF VARIOUS BIOMETRIC AUTHENTICATION TECHNIQUES
SIZE DISTRIBUTION AND FISHING SEASON OF BLUE SWIMMING CRAB (PORTUNUS PELAGICUS) IN TUKAK SADAI WATERS, SOUTH BANGKA REGENCY, INDONESIA
IMPACT OF ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING ON PROGRAMMING AND SOFTWARE ENGINEERING
AN ANALYSIS OF DEEP LEARNING AND ATTENTION MODELS FOR NATURAL LANGUAGE PROCESSING TASKS
AN ANALYSIS OF CONVOLUTIONAL NEURAL NETWORKS AND THEIR APPLICATIONS
AN ANALYSIS OF CONCEPTS AND TECHNIQUES CONCERNING THE USE OF HIDDEN MARKOV MODELS FOR SEQUENTIAL DATA
A DIFFERENCE PERCEPTUAL HASHING ALGORITHM FOR MEDICAL VOLUME DATA AGAINST LOCAL NONLINEAR GEOMETRIC ATTACKS
CORONA VIRUS (COVID-19): A REVIEW OF CLINICAL MANAGEMENT, DIAGNOSIS & TREATMENT
Coronavirus (COVID-19) is a novel enveloped RNA betacoronavirus that is diversely found in humans and wildlife. A total of six species have been identified to cause disease in humans. They are known to infect the neurological, respiratory, enteric, and hepatic systems. The presence of this virus in host cells will initiate various protective responses leading to pneumonia and Acute Respiratory Distress Syndrome. This review aimed to provide an overview related to this Corona Virus Disease 2019 (COVID-19) epidemiology, pathophysiology, diagnosis, management and future perspective. The most recent outbreak initially presented as pneumonia of unknown etiology in a cluster of patients in Wuhan, China. We searched PubMed, Medline, Embase and Scopus databases for Severe Acute Respiratory Syndrome Coronavirus-2, Middle East respiratory syndrome-related coronavirus and Severe Acute Respiratory Syndrome Coronavirus. In particular, we focus on public health impact, pathophysiology and clinical manifestations, diagnosis, case management, emergency response and preparedness. It will also provide a means to raise awareness among primary and secondary healthcare providers during the current pandemic. Furthermore, our review focuses on the most up-to-date clinical information for the effective management, prevention, and counseling of patients worldwide.