The heart is an important organ in the human body, and acute myocardial infarction (AMI) is the leading cause of death in most countries. Researchers are doing a lot of data analysis work to assist doctors in predicting the heart problem. An analysis of the data related to different health problems and its functions can help in predicting the wellness of this organ with a degree of certainty. Our research reported in this paper consists of two main parts. In the first part of the paper, we compare different predictive models of hospital mortality for patients with AMI. All results presented in this part are based on real data of about 603 patients from a hospital in the Czech Republic and about 184 patients from two hospitals in Syria. Although the learned models may be specific to the data, we also draw more general conclusions that we think are generally valid. In the second part of the paper, because the data is incomplete and imbalanced we develop the Chow-Liu and tree-augmented naive Bayesian to deal with that data in better conditions, and compare the quality of these algorithms with others.

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Background and objective: Serum beta-2 microglobulin (β2M) has been used as a useful clinical marker of chronic kidney dysfunction. The current study aims to evaluate the diagnostic accuracy of β2M for the early detection of diabetic nephropathy among Iraqi patients with type II diabetes mellitus. Methods: The study included 84 participants divided into four groups, three of them were type II diabetics and the fourth is the healthy individuals’ (control) group. The diabetic’ subgroups were named according to the Micral test as: normoalbuminuria (21 patients), microalbuminuria (21 patients), and macroalbuminuria group (21 patients). The control group included 21, age- and sex-matched, healthy participants. Biochemical markers for diabetes mellitus as well as β2M were determined for each participant and then were analyzed statistically. Results: The serum β2M of normoalbuminuria group was (2.86±0.95 µg/mL), microalbuminuria group was (5.06±1.97 µg/mL) and macroalbuminuria group (3.6±1.59 µg/mL). The results showed significant increase (p˂0.05) in the β2M level of microalbuminuria group when compared with that of normoalbuminuria and macroalbuminuria groups. In addition, a highly significant increase (p˂0.01) in β2M concentration was observed in microalbuminuria group when compared with that of the control group. Conclusions: β2M can be used as a useful biomarker for the early detection of nephropathy.

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The most common manifestation of skeletal tuberculosis is tuberculosis spondylitis. Symptoms may progress insidiously from back pain to cause many severe complications. Early diagnosis and management of spinal tuberculosis have special importance in prevention. We report a case of a 24-year-old female who was diagnosed with tuberculous spondylitis, complicated with psoas abscess and grade 1/5 of lower limb weakness. The patient was treated with anti-tuberculous drugs and underwent surgical debridement, interbody fusion and internal fixation accompanied by fibular autografting using a posterior-only approach and supplemental posterior spinal stabilisation on an infected background. Within 14 years of follow-up, full bone graft spinal fusion has been achieved with no major complications. According to its clinical efficacy and feasibility, this procedure is suggested to be an alternative treatment for Pott’s disease.