title: Role of syndromic management using dynamic machine learning in future of e-Health in Pakistan.
abstract: Sexually Transmitted Diseases (STDs) constitute important primary health issues in Pakistan which face inadequacy of resources required in early detection and investigative procedures for their diagnosis and treatment. Syndromic approach to management of STDs is based on the identification of a consistent group of symptoms and syndromes to classify the exact disease or infection beforehand, so that further investigations are sought for based on these initial criteria. This paper envisions the results based on two different approaches: Human and Artificial Intelligence (AI) along with some examples of on-going usage e of Artificial Intelligence in Medicine. Pakistan is in an early stage regarding the use of informatics in health care for sustainable health system but is also under international obligation to adapt it & WHO EMRO has developed an e-Health plan for the member countries including Pakistan. The paper presents an informatics application model for a very common but important problem & development of such e-health applications, as starting point, will certainly have positive impact the future of development of e-Health in Pakistan.
authors.affiliation: Health department government of sindh Pakistan.
authors.forename: Aijaz Qadir
authors.initials: AQ
authors.lastname: Patoli
mesh_terms: D001185:Artificial Intelligence; D003906:Developing Countries; D005260:Female; D006801:Humans; D008297:Male; D010154:Pakistan; D012749:Sexually Transmitted Diseases / Q000150:complications / Q000628:therapy*