Objective To develop and evaluate machine learning techniques that identify limb fractures
and other abnormalities (eg dislocations) from radiology reports. Materials and Methods 99 …

Objectives To determine whether a pathology request form allowing interns and residents to
order only a limited range of laboratory blood tests prior to consultation with a registrar or …

We study machine learning techniques to automatically identify limb abnormalities (including
fractures, dislocations and foreign bodies) from radiology reports. For patients presenting to …

Background Timely diagnosis and reporting of patient symptoms in hospital emergency
departments (ED) is a critical component of health services delivery. However, due to dispersed …

Patients presenting to Emergency Departments may be categorised into different symptom
groups for the purpose of research and quality improvement. The grouping is challenging due …

Objective: To inform about a very unique and first of its kind telehealth pilot study in India that
has provided virtual telehealth consultation to eye care patients in low resource at remote …

Chapter Outline – Page 1 Abstract - Fuzzy measures are monotonic set functions used for
modelling strength of coalition of criteria in multicriteria decision-making. However, the …

Background Effective management of chronic diseases such as prostate cancer is important.
Research suggests a tendency to use self-care treatment options such as over-the-counter (…

Aggregation plays a central role in human thought. There is a need to develop better data
aggregation mechanisms in various real-life applications involving intelligent systems. …

Objective: To demonstrate application of data integration technology for observing the
effectiveness of interventions to control pathology orders in Emergency Departments. Background: …