We sought to assess mental health at the time of antiretroviral therapy (ART) initiation and subsequent retention in care over a six-month follow-up period. A total of 136 people living with HIV in South Africa were administered surveys measuring dem...
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal...
Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In addition, it allows the physical rehabilitation processes carried out at the clinic to be complemented wit...
BACKGROUND: Quality improvement efforts are frequently tied to patients achieving ≥80% medication adherence. However, there is little empirical evidence that this threshold optimally predicts important health outcomes.
OBJECTIVE: Text and data mining play an important role in obtaining insights from Health and Hospital Information Systems. This paper presents a text mining system for detecting admissions marked as positive for several diseases: Lung Cancer, Breast ...
Studies in health technology and informatics
29295389
The present paper deals with intellectual systems for patient's level adherence determination. The most popular novadays technique for adherence evaluation is interview. We advise new automation approach, which compares direct pation data with treatm...
Studies in health technology and informatics
28479545
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated...