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Browsing Project Report by Subject "Diseases"

Browsing Project Report by Subject "Diseases"

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  • Analysing Machine Learning Based Models for Predicting Malarial Fever Prior to Clinical Trial 
    Islam, Md. Robiul; Jeba, Tanjina Nur (Daffodil International University, 23-02-12)
    Malaria is a very dangerous illness brought on by unicellular protozoan parasites of the species Plasmodium. This disease is endemic in many parts of the world. Confirming the presence of parasites early on in all cases ...
  • An Automated CNN Model Based Approach for Apple Leaf Disease Detection 
    Nazneen, Nafisa; Tahera, Khadija Tut (Daffodil International University, 23-02-08)
    This study presents a deep learning approach for the detection of diseases in apple leaves. The method utilizes convolutional neural networks (CNNs) to classify apple leaf images into diseased and healthy categories. The ...
  • Chronic Kidney Disease: A Machine Learning Based Improved Analytical Forecasting 
    Miah, MD Rasel; Prapty, Sumaya Sarwar (Daffodil International University, 23-01-29)
    Chronic kidney disease (CKD) refers to a variety of conditions that cause harm to the kidneys or a decrease in the Glomerular Filtration Rate (GFR). Due to recent advancements in medicine, doctors have been able to treat ...
  • COVID-19 Vaccine Data Analysis and Prediction Using Machine Learning a Perspective in Bangladesh 
    Oyon, Sheikh Fardin; Hussain, MD Redwan (Daffodil International University, 23-01-29)
    Coronavirus disease (COVID-19), a highly infectious and transmitted disease that was first discovered in Wuhan city in China in December 2019. Every person in the world is suffering from the coronavirus, directly or ...
  • A Decision Support System for Symptom Based Common Diseases 
    Sumi, Taslima (Daffodil International University, 22-09-21)
    A Decision Support System for Symptom Based Common Diseases” is a System that can predict the disease by selecting systems by user added. It can also suggest a doctor and other hospital-related facilities. In this pandemic ...
  • A Deep Learning-Based Approach for Melanoma Skin Cancer Disease 
    Hasan, Quazi Zayed Bin (Daffodil International University, 22-09-21)
    Skin cancer is the maximal rapid cancer in the white pool worldwide. Incidence of basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and malignant melanoma (MM) is nevertheless thriving. This bias can be remedied ...
  • Designing and Developing of an Android Application for Tree Diseases (Gardian) 
    Nur, Assrafuzzaman; Arman, Abu Sayem; Ahmed, Tanvir (Daffodil International University, 2021-06-01)
    This project is titled “Designing and developing an android application for tree diseases (Gardian)”. We tried to develop an android application that will help to treatment tree diseases and be able to give a solution ...
  • Detection of Breast Cancer from Ultrasound Imaging using Deep Learning Model 
    Raz, Maruful Islam; Akter, Sharmin (Daffodil International University, 23-02-18)
    The second most common cause of mortality for women is breast cancer. Female death rates can be decreased if breast cancer is found early. For early cancer detection, an automated system is needed because manual breast ...
  • Effective Heart Disease Prediction Using Machine Learning with Five Classifiers 
    Khan, MD. Tamim; Rafi, Raisul Islam (Daffodil International University, 23-02-18)
    Heart disease is among the most difficult diseases, and it affects a lot of individuals all over the world. Early and accurate heart illness identification is vital in the world of medicine, particularly in the field of ...
  • Evaluating Machine Learning Algorithms for Heart Disease Prediction 
    Islam, MD. Sofiqul; Shiblee, Shah Moazzam Hossen (Daffodil International University, 23-02-18)
    One of the significant motives of death globally is a heart-attack. Heart-attack detection early on can save lives. In this exploration, we mention a predictive machine learning algorithm of heart attack. The algorithm ...
  • Identification of COVID-19, Pneumonia, Lung Cancer & TB From Chest X-Ray Images: A Deep Transfer Learning Approach 
    Datta, Gourab; Uddin, MD. Zia (Daffodil International University, 23-01-29)
    to Lung Cancer, Pneumonia, Tuberculosis, and COVID-19, which have a very terrible effect on the body, the patient may die and COVID-19 spreads very easily. It is possible to get rid of these diseases if they are detected ...
  • Identification of Rice Leaf Diseases Using CNN With Transfer Learning 
    Hossain, MD. Kawsar; Shikder, Shamim; Samit, Mohammad Fattah (Daffodil International University, 23-01-29)
    The damage done by rice leaf diseases is detrimental to our food safety and economic growth. Farmlands are being reduced day by day due to urbanization. Therefore it is highly essential to have the maximum harvest within ...
  • Lychee Tree Disease Classification and Prediction Using Deep Learning 
    Akter, Sima; Ali, Md. Almas (Daffodil International University, 22-08-14)
    Bangladesh is a predominantly agricultural nation. The majority of people depend on agriculture. But it is a sad fact that the quality and quantity of our fruits are declining due to numerous diseases. People in our ...
  • Predicting Potato Leaf Diseases with Convolutional Neural Networks 
    Islam, Md. Arafat (Daffodil International University, 2023-09-12)
    Early disease diagnosis in potato leaves is complicated by the wide range of crop types, agricultural disease signs, and environmental factors involved. These problems make it difficult to detect diseases in potato leaves ...
  • A Robust Transfer Learning Based Model To Predict Diabetic Retinopathy 
    Mukti, Sanzida Akter (Daffodil International University, 23-03-01)
    Millions of people throughout the world are affected by the disease known as diabetic retinopathy each year. As DR disorders can have a significant impact on patients' eyes and quality of life, early disease diagnosis is ...
  • A Study on the Effectiveness and Challenges of E–Learning on the Undergraduate Student During COVID – 19 in Bangladesh 
    Tabassum, Ramisa (Daffodil International University, 23-02-12)
    The worldwide educational systems and public health and safety were harmed by the COVID-19 epidemic. Most educational institutions, including Bangladesh, have delayed their face-to-face instruction out of concern about the ...
  • A Supervised Machine Learning Approach To Classify Parkinson Disease 
    Al Farabi, R.I.m. Abdullah; Zhohra, Mst. Soniatuz (22-09-01)
    Parkinson's disease is a degenerative brain disease. In most cases, over the age of 50 people are affected by this disease, but nowadays, young people are also affected by this disease due to genetic reasons. Due to reduced ...
  • Towards the Early Detection of Alzheimer Disease Using Machine Learning Approach 
    Kabir, MD Shariar; Hossain, MD Mossaddak (Daffodil International University, 23-02-18)
    This paper proposes a machine learning technique to detect Alzheimer's disease in Bangladesh. The proposed system comprises of three components. First, a set of demographics, clinical and laboratory data are collected from ...
  • Understanding Skin Disorder with Convolution Neural Network. 
    Shimu, Sumaia; Anti, Farzana Alam; Nath, Lingkon Chandra Deb (Daffodil International University, 23-01-18)
    The dermis is the body's biggest and quickest organ. A variety of events between the immune cells of the skin and keratinocytes result in a severe case of dermatitis. The development of the illness can be aided by the ...
  • Web Based Online Doctor Consultation Provider 
    Sheikh, Sazzad (Daffodil International University, 23-01-29)
    The Web Application of Diseases analysis and give treatment is used to extract knowledge from e-commerce. The web application has become the root of emerging business or commercial websites. The growing number of e-commerce ...

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