Deep Learning in Biostatistics: Applications, Methods, and Future Scope in Medical Research
Introduction Biostatistics has long been the backbone of medical research, epidemiology, and public health analysis. Traditional statistical methods such as regression models, survival analysis, and ANOVA have played a crucial role in analyzing biomedical data. However, the rapid growth of high-dimensional datasets—especially in genomics, medical imaging, wearable health devices, and electronic health records—has created the … Read more