A stochastic analysis of medical misdiagnosis in children

dc.contributor.author	Mugwe, Teresia Wanjiku
dc.date.accessioned	2017-03-03T14:00:16Z
dc.date.available	2017-03-03T14:00:16Z
dc.date.issued	2015
dc.description.abstract	Medical misdiagnosis has been an issue on the rise in the past decade with an observed increase in medical malpractice cases. In Africa, most malpractice cases are due to negligence and misdiagnosis, with the cases of misdiagnosis rising. Children are seen to suffer more from medical misdiagnosis as compared to adults, especially those under five. A stochastic analysis of the transition of children from different states confirms that there is a high transition to a state of misdiagnosis. Cases in Africa are much higher than the rest of the world as pediatric technology is not as advanced. Analysis of data confirms the problem is dire in Africa as compared to the rest of the world, a factor which can be attributed to the lack of pediatric expertise and modem technology in the medical field . The study is to enhance the economic development in Africa with focus in medical sector. This will curb the high infant mortality rate problem and decrease the cases of medical misdiagnosis.	en_US
dc.identifier.uri	http://hdl.handle.net/11071/5120
dc.language.iso	en	en_US
dc.publisher	Strathmore University	en_US
dc.subject	Markov chain	en_US
dc.subject	Transition Matrix	en_US
dc.subject	misdiagnosis	en_US
dc.title	A stochastic analysis of medical misdiagnosis in children	en_US
dc.type	Learning Object	en_US