Breast cancer is a significant cause of mortality for women worldwide, ranking as the second leading cause of death. In 2018, breast cancer accounted for the highest number of cancer-related deaths among women in 40 European countries. While it ranked as the second leading cause of cancer-related deaths in the EU-28, lung cancer held the top position. Detecting breast cancer at an early stage is vital for improving treatment outcomes and survival rates. Data mining has gained popularity as an effective tool for knowledge discovery in various fields, including medicine. Researchers have applied machine learning techniques, such as multiple classifier algorithms, to predict and analyze patient diagnoses using medical datasets. However, a challenge arises due to imbalanced training data, where the probability of not having the disease is higher than having it. This paper focuses on addressing this issue by comparing two distinct AI models: Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN). The objective is to develop a suitable and reliable model capable of handling imbalanced datasets and missing values, thereby enhancing the overall performance of the breast cancer prediction model.
This study investigated the relationship between music listening purposes and emotional well-being among undergraduate students. A survey was administered to 50 undergraduate students aged 18 to 22 from several universities in Urgench, Uzbekistan. Participants reported their main purposes for listening to music, how fr…
Journal of Universal Science Research14.09.2026171
Ushbu maqolada oilaviy muhitning bola shaxsiy rivojlanishiga psixologik ta’siri nazariy va amaliy jihatdan tahlil qilinadi. Oiladagi emotsional iqlim, ota-ona tarbiya uslubi, bog‘lanish sifati, muloqot madaniyati, talab va nazoratning muvozanati, oilaviy konfliktlar, ota-onaning psixologik holati hamda bolaga ko‘rsatil…
Journal of Universal Science Research14.09.2026100
Mazkur maqolada talabalarda kasbiy motivatsiyani shakllantirishning psixologik xususiyatlari nazariy va amaliy jihatdan tahlil qilinadi. Kasbiy motivatsiya shaxsning tanlagan kasbiga nisbatan barqaror qiziqishi, kasbiy maqsadlarni anglash, faoliyat mazmunini shaxsiy qadriyatlar bilan bog‘lash, o‘z imkoniyatlariga ishon…
Maqolada ijtimoiy tarmoqlardan foydalanishning o‘smirlar ruhiy holatiga ta’siri psixologik, ijtimoiy va xulq-atvor mexanizmlari nuqtai nazaridan tahlil qilinadi. O‘smirlik davrida tengdoshlar bahosi, ijtimoiy qabul qilinish, o‘zlikni izlash va emotsional barqarorlikka ehtiyoj kuchli bo‘lgani sababli raqamli muhitning t…
Ushbu maqolada yoshlarning o‘z-o‘zini baholashi va ijtimoiy faolligi o‘rtasidagi psixologik bog‘liqlik nazariy va amaliy nuqtai nazardan tahlil qilinadi. O‘zo‘zini baholash shaxsning o‘z imkoniyatlari, qadr-qimmati, kompetentligi va ijtimoiy maqomini subyektiv baholash tizimi sifatida ko‘rib chiqiladi. Ijtimoiy faolli…
ResearcherUz