One of the major challenges in medical domain is the extraction of comprehensible knowledge from medical diagnosis data. In this paper, a two-phase hybrid evolutionary classification technique is proposed to extract classification rules that can be used in clinical practice for better understanding and prevention of unwanted medical events. In the first phase, a hybrid evolutionary algorithm (EA) is utilized to confine the search space by evolving a pool of good candidate rules, e.g. genetic programming (GP) is applied to evolve nominal attributes for free structured rules and genetic algorithm (GA) is used to optimize the numeric attributes for concise classification rules without the need of discretization. These candidate rules are then used in the second phase to optimize the order and number of rules in the evolution for forming accurate and comprehensible rule sets. The proposed evolutionary classifier (EvoC) is validated upon hepatitis and breast cancer datasets obtained from the UCI machine-learning repository. Simulation results show that the evolutionary classifier produces comprehensible rules and good classification accuracy for the medical datasets. Results obtained from t-tests further justify its robustness and invariance to random partition of datasets. 相似文献
The benefit of transurethral laser prostatectomy over open simple prostatectomy (OSP) is controversial in aged symptomatic benign prostatic hyperplasia (BPH) patients with large volume prostates, and the aim of this study is to compare the safety and efficiency of these two methods. Meta-analysis was applied using the Review Manager V5.3 software and the retrieved randomized controlled clinical trials (RCTs) comparing transurethral laser prostatectomy with OSP were analyzed for the treatment of large volume prostates from 2000 to 2019 in PubMed, Web of Science, Cochrane, and EMBASE datasets. Five RCTs assessing transurethral laser prostatectomy versus OSP were considered suitable for this meta-analysis, which included a total of 448 patients, with 232 patients undergoing laser and 216 patients undergoing OSP. Compared with OSP, although transurethral laser prostatectomy required a longer operative time (weighted mean difference (WMD) 27.49 mins; 95% confidence interval (CI) 16.54–38.44; P?<?0.00001) and obtained a less resected prostate weight (WMD ??11.72 g; 95% CI ??21.75 to ??1.70; P?=?0.02), patients undergoing laser prostatectomy benefited from significantly less hemoglobin decline (??0.97 g/dL; 95% CI ??1.31 to ??0.64; P?<?0.00001), shorter time of catheterization (WMD ??3.67 days; 95% CI ??5.60 to ??1.75; P?=?0.0002), shorter length of hospital stay (WMD ??4.75 days; 95% CI ??6.57 to ??2.93; P?<?0.00001), and less blood transfusion (odds ratio 0.10; 95% CI 0.03 to 0.35; P?=?0.0003). During postoperative follow-up, no significant difference was observed between the two groups in IPSS, QoL, Qmax, and PVR. Both transurethral laser prostatectomy and OSP are safe and effective for large prostates that require prostate resection. Taking into account of less blood loss, shorter catheterization time and hospital stay, and less blood transfusion, transurethral laser prostatectomy may be a better treatment for patients with large prostates.