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Browsing Project Report by Subject "Disease"

Browsing Project Report by Subject "Disease"

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  • Analysis of Data Mining Techniques For Heart Disease Prediction Using Machine Learning 
    Shobnom, Atiya (Daffodil International University, 22-09-01)
    A Heart Complaint or Disease (HC) is a fatal experience that stops blood flow from supplying oxygen to the heart muscle, that’s when a heart attack occurs .There are no noticeable symptoms before a heart attack occurs, ...
  • An Analysis of Depp Learning Approaches with Image Preprocessing Technique To Predict Monkeypox 
    Biswas, Ritu; Islam, Sayma (Daffodil International University, 23-02-12)
    As the world continues to recover from COVID-19, the virus monkeypox provides a new pandemic intimidation. Monkeypox isn't as deadly or as widespread as the virus of COVID-19, but some new cases are reported regularly ...
  • Detection of Lyme Disease Rashes Using Deep Learning-Based Approach 
    Adnan, MD. Sad (Daffodil International University, 22-09-21)
    Lyme disease is the maximum not unusual place vector-borne disease with inside the United States. Lyme disease is resulting from the bacterium Borrelia burgdorferi and, rarely, the bacterium Borrelia mayonii. It is transmitted ...
  • Fruit Disease Detector 
    Sakib, Md. Sohanur Rahman; Kathika, Fariha Hasan (Daffodil International University, 2019-12)
    Bangladesh is a developing country as well as productive also. We have a large amount of tropical fruit. Our most cultivated fruits are mango, banana, apple, orange, jackfruit, etc. But the fact is that the lack of ...
  • Heart Disease Prediction System by Using Machine Learning Methodologies 
    Hasan, Mahmudul (Daffodil International University, 22-09-21)
    There is a saying that “Health is wealth”. In the modern Modern world, being healthy is indeed a blessing. Our lives get easier as we evolve each day, but it also makes us lethargic and more susceptible to bad habits. ...
  • Heart Disease Prediction Using Machine Learning Methods 
    Rimi, Khadiza Akter; Aliza, Humaira Yasmin (Daffodil International University, 23-02-18)
    A disease is an unusual occurrence that usually impacts one or more body parts of an individual. Diseases of all kinds are becoming more common as a result of lifestyle and environment. The most prominent of any of these ...
  • Liver Disease Prediction Using Machine Learning Approaches 
    Bhuiyan, Md. Abdur Rahman (Daffodil International University, 2019-12-06)
    For the perdition of different diseases to make the best feasible clinical care decisions it is very essential to take the right decision from medical doctors. If the doctor takes their improper decisions, it could be ...
  • A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 
    Mridul, Aunik Hasan; Islam, Md. Jahidul (Daffodil International University, 23-02-18)
    Breast cancer is a physical disease and increasing in recent years. The topic is known widely in the recent world. Most women are suffering from problem of breast cancer. The disease is measured by the differences between ...
  • “MediPlus”-An Android Application for Medical Support 
    Dev, Kumar Madhurjha (Daffodil International University, 23-02-12)
    Nowadays Bangladesh meets a lot of healthcare issues. So, i made an application about medicines “MediPlus”-An Android Application for Medical Support. Generally, we all know how painful to get proper Healthcare in an ...
  • To Design and Develop a Patient & Health Care System 
    Sakib, Nazmus; Das, Apurba (Daffodil International University, 23-03-01)
    Doctor’s Information is aimed at developing an online information of Doctor. In emergency basis, patients can find Doctor by searching their nearest area, disease and particular Doctor’s name in this website. That means ...
  • Tomato Leaf Diseases Classification Using Convolutional Neural Network 
    Sayem, Kazi Abu; Nayem, MD.; Chakma, Kajali; Hasan, A.S.M Monirul (Daffodil International University, 23-01-29)
    Rapid and precise disease detection can considerably boost the sustainable agricultural yield of tomato plants. The conventional method allows for human agricultural professionals to recognize irregularities in tomato ...

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