Browsing by Author "islam, Md. Ariful"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Primary Stage of Diabetes Prediction Using Machine Learning Approaches
    (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12) Emon, Minhaz Uddin; Keya, Maria Sultana; Kaiser, Md. Salman; islam, Md. Ariful; Tanha, Tabassum; Zulfiker, Md. Sabab
    As per the report of the World Health Organization (WHO), diabetes has become one of the rapidly expanding chronic diseases that has affected the life of 422 million people all over the world. The number of deaths in Bangladesh due to diabetes has reached 28,065, which is 3.61% of the total deaths of Bangladesh, according to the latest data published by the WHO in 2018. So we need to be concerned about the risks of diabetes disease. If we cannot take proper steps to diagnose diabetes at an early stage, eventually we have to face serious health issues. In this paper, we have shown the relation of different symptoms and diseases that cause diabetes so that we can help a person to diagnose diabetes at an early stage. Nowadays, machine learning classification approaches are well accepted by researchers for developing disease risk prediction models. Therefore eleven machine learning classification algorithms such as Logistic Regression (LR), Gaussian Process (GP), Adaptive Boosting (AdaBoost), Decision Tree (DT), K-Nearest Neighbors (KNN), Multilayer Perceptron (MLP), Support Vector Machine (SVM), Bernoulli Naive Bayes (BNB), Bagging Classifier (BC), Random Forest (RF), and Quadratic Discriminant Analysis (QDA) have been used in this study. Among all these machine learning classifiers, Random Forest (RF) classifier has showed the best accuracy of 98%. And its Area Under Curve(AUC) is also the highest.
  • No Thumbnail Available
    Item
    Surgical management of patent urachus in calf in Upazilla Veterinary Hospital, Sariakandi, Bogra.
    (A clinical report submitted in partial satisfaction of the requirements for the degree of Doctor of Veterinary Medicine Faculty of Veterinary Medicine, Chittagong Veterinary and Animal Sciences University, Khulshi-4225, Chittagong, Bangladesh., 2018-09) islam, Md. Ariful
    A new born HF cross bred female calf with the signs of greater umbilicus with larger umbilical opening containing umbilical cord and dribbling of urine from the umbilicus without any systemic infections was presented to Sariakandi Upazilla Veterinary Hospital, Bogra dated on 13 March, 2018. All physiological parameters of the patient was taken during the handling of clinical case. The temperature, heart rate, respiration rate all were recorded normal. The external urethral orifices was found normal. The case was diagnosed as patent urachus ( a congenital abnormality of urinary bladder) and decided to perform surgical intervention. To perform the surgery, regional anesthesia (Ring block) with 2% lidocaine hydrochloride was infiltrated around the umbilical opening. The urachus and umbilical arteries were ligated by chromic catgut closer to the bladder as much as possible and excised. Umbilicus was retained during surgery to conserve the normal appearance of animal. The calf started normal urination just immediately after surgery. Postoperatively, Antimicrobial (ceftriaxone )and analgesic( meloxicam) were administered at the rate of 10 mg/kg and 0.2 mg/kg body weight intramuscularly for 5 days and 3 days respectively. Antiseptic dressing was performed on every alternative day upto 5 days. Finally the calf recovered within 12 days without any complications.