The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

The health and nutrition status of marginalized women with constraint economic resource in
rural setting remain a great challenge. In addition, poor nutritional knowledge, attitudes, and …

In this study, we developed an integrated hospital-associated urinary tract infection (HAUTI)
surveillance information system (called iHAUTISIS) based on existing electronic medical …

Выполнен обзор методов и систем интеллектуального анализа медицинских данных и
клинических текстов на естественном языке. Проанализирован типовой состав данных …

Input data of a data mining algorithm must conform to a very specific tabular format. Data
scientists arrange data into that format by creating long and complex scripts, where different …

Early diagnosis of tumors can reduce mortality rates. Hence, tumor position, tumor area, and
tumor categories evaluation are also mandatory concerns for the proper medication. This …

Clinical trials aiming for regulatory approval of a therapeutic agent must be conducted
according to Good Clinical Practice (GCP). Clinical Data Management Systems (CDMS) are …

Abstract Background The Gambia, like many other developing countries, has encountered
numerous challenges in terms of developing effective and efficient health information …

Les maladies infectieuses représentent aujourd'hui un problème majeur de santé publique.
Devant l'augmentation des résistances bactériennes, l'émergence de nouveaux pathogènes …