Neural networks can fit any nonlinear function. After drawing out several characteristic parameters from the three-dimension spectrum for high frequency QRS waves, we input them into the network and trained the network. In this way, we can get a m-dimension curved surface in the m-dimension space which is constructed by those parameters, and this curved surface divides the space into two parts: the unhealthiness and the health. Now, the network can automatically distinguish between the healthiness and the unhealthiness according to their three-dimension spectrum for high frequency QRS waves.
Algorithms ; Coronary Disease ; diagnosis ; Electrocardiography ; Humans ; Image Processing, Computer-Assisted ; Neural Networks (Computer)

OBJECTIVE:To investigate the characteristics and rules of new and severe ADR induced by TCM for removing blood stasis and clearing heat in our hospital,and to provide reference for safe drug use in clinic. METHODS:New and severe ADR induced by TCM for removing blood stasis and clearing heat reported to national ADR monitoring center were collected from our hospital during Jan. 2006-Dec. 2016. Those ADR cases were analyzed retrospectively in respects of gender,age,allergic history,route of administration,drug type and dosage form,occurrence time,organs/systems involved and clinical manifestations, outcome. RESULTS:Among 298 reports,the incidence of ADR in female(70.13%)was higher male(29.87%),especially in patients aged 50-59(21.48%);there were 77 allergic cases(25.84%). Route of administration was mainly oral administration (57.37%),and dosage form was mainly injection(25.50%). Main ADR-inducing drug was Chinese patent medicine(53.53%). ADR mostly occurred over 1 d after medication(48.32%). Systems/organs involved in ADR were mainly lesion of skin and its appendants,systemic damage and gastrointestinal damage. Main clinical manifestations were rash,contact dermatitis,pruritus, infusion reaction,chills,fever,nausea,vomiting,diarrhea,etc.After drug withdrawal or symptomatic treatment,97.99% patients were revered and cured. There was no death case. CONCLUSIONS:TCM for removing blood stasis and clearing heat causes most new and severe ADR.Clinical drug use should be monitored closely to reduce the occurrence of ADR.

OBJECTIVETo evaluate clinical factors affecting Gleason score upgrade in patients receiving radical prostatectomy (RP).

METHODSA total of 322 patients with prostate cancer who received RP from January 2012 to December 2013 at Department of Urology at Fudan University Shanghai Cancer Center were included, and their data of age, body mass index (BMI), prostate-specific antigen (PSA), prostate volume, percentage core, clinical staging, pathological characteristics, biopsy Gleason score and RP Gleason score were analyzed. Differences in categorical variables and continuous variables were compared using χ² tests and Student's t-test, respectively. Unconditional multiple logistic regression was used to estimate OR and 95% CI of the association of Gleason score upgrade with clinical factors.

RESULTSGleason score upgrade occurred in 107 of 322 (33.3%) patients. There was no difference in age, BMI and clinical staging between the two groups. Compared with patients without Gleason score upgrade, higher levels of PSA (χ² =6.740, P=0.034), smaller prostate volume (t=3.481, P=0.002) and elevated percentage core (t=-2.097, P=0.037) were observed in patients with Gleason score upgrade. In addition, lymph node metastasis (χ² =4.193, P=0.041) and extracapsular extension (χ² =4.747, P=0.029) were more common in patients with Gleason score upgrade. After adjusting for potential confounders, PSA levels (OR=2.451, 95% CI: 1.290-4.660), prostate volume (OR=0.982, 95% CI: 0.969-0.995) and percentage core (OR=2.756, 95% CI: 1.033-7.357) were independent predictors for Gleason score upgrade.

CONCLUSIONGleason score upgrade happens at a relatively high rate. PSA levels, prostate volume and percentage core are important factors affecting Gleason score upgrade.

Biopsy ; Body Mass Index ; China ; Humans ; Logistic Models ; Male ; Multivariate Analysis ; Neoplasm Grading ; Prostate-Specific Antigen ; blood ; Prostatectomy ; Prostatic Neoplasms ; diagnosis ; surgery