Development of an Intelligent Mobile Health Monitoring System for the Health Surveillance System in Indonesia

Mobile phone applications have been widely used in various fields, including health care. Generally, this technology is used to overcome problems in health care by utilising mobile phone features for facilitating basic needs in health services. This study proposes an intelligent mobile health monitoring system that can be used in rural and remote areas where health services are still lacking. The system was made based on client/server architecture. Nine symptoms of typhoid, cough and diarrhoea from 30 patients were gathered from a hospital. Based on this data, a machine learning model using Support Vector Machine (SVM) was performed to distinguish these diseases. To find the best model parameters of the SVM, three different kernels (linear, polynomial, and Radial Basis Function (RBF)) were analysed. The result showed that RBF with degree 2 provided the best result in this particular application. The system was designed to receive input from patients about symptoms of the disease they have. The mobile phone application sends the data of the symptoms using Short Message Service (SMS) to the server. Furthermore, a machine algorithm module in the server identifies to which disease it belongs to based on the machine learning model created before. The prediction result is accessible to the doctor and the nearest Community Health Center (CHC). Based on the result, the doctor proposes a treatment plan for the patient to be recorded and sent to the patient by CHC. The proposed mobile health monitoring system has run properly and is ready to be evaluated in a real situation.     

Pelodera (syn. Rhabditis) strongyloides as a cause of dermatitis – a report of 11 dogs from Finland

Background  

Pelodera (Rhabditis) strongyloides is a small saprophytic nematode that lives in decaying organic matter. On rare occasions, it can invade the mammalian skin, causing a pruritic, erythematous, alopecic and crusting dermatitis on skin sites that come into contact with the ground. Diagnosis of the disease is based on case history (a dog living outdoors on damp straw bedding) with characteristic skin lesions and on the demonstration of typical larvae in skin scrapings or biopsy. Pelodera (rhabditic) dermatitis cases have been reported mainly from Central European countries and the United States.     

Bases and spaces: resources on the web for accessing the draft human genome - II - After publication of the draft

The volume of human genome sequence and the variety of web-based tools to access it continue to grow at an impressive rate, but a working knowledge of certain key resources can be sufficient to get the most from your genome. This article provides an update to Genome Biology 2000, 1(4):reviews2001.1-2001.5.