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| 1 | Dermatomyositis as a presentation of pulmonary inflammatory pseudotumor (myofibroblastic tumor)显示文摘 | AlamM Morehead RS Weinstein MH | | 0，，06： | 1 |
| 2 | Helionthis virescens:response characteristics of recept or neusrons in sensilla trichodea type 1 and 2显示文摘 | ALAMMS T J MUSTAPAPARTA H | | 0，，05： | 1 |
| 3 | Protective effect of quercetin on hyperglycemia,oxidative stress and DNA damage in alloxan induced type 2 diabetic mice显示文摘 | Alamm M Meerza D Naseem I | 2014 | Life Sciences2014，109，1： | 1 |
| 4 | Effects of first myocardial infarction on left ventricular systolic and diastolic function with the use of mitral annular velocity determined by pulsed wave Doppler tissue imaging显示文摘 | AlamM Wardell J Andersson E | 2000 | J Am Soc Echocardiogr2000，13，5： | 1 |
| 5 | In vitro studies on Colletotrichumfalcatum the causal of red rot disease of sugarcane 显示文摘 | Imtiaj A AlamM S IslamAKMR | 2007 | American-Eurasian Journal of Agricultural and Environmental Sci- ence2007，2，5： | 1 |
| 6 | KnowledgeattitudesandpracticesregardingblooddonationamongtheSaudipopulation显示文摘 | AlamM MasalmehBelD | 2004 | SaudiMedJ2004，25，3： | 1 |
| 7 | Effects of first myocardial infarction on left ventricular systolic and diastolic function with the use of mitral annular velocity determined by pulsed wave tissue imaging显示文摘 | AlamM Wardell J Andersson E | 2000 | J Am Soc Echocardiagr2000，13，4： | 1 |
| 8 | Utilizingshapememoryalloystoenhancetheperformanceandsafetyofcivilinfra-structure:areview显示文摘 | ALAMMS YOUSSEFMA NEHDIM | 2007 | CanadCivilEnginJ2007，34，9： | 1 |
| 9 | Performance-basedassessmentanddesignofFRP-basedhighdampingrubberbearingincorpo-ratedwithshapememoryalloywires显示文摘 | DEZFULIFH ALAMMS | 2014 | EnginStruct2014，61，： | 1 |
| 10 | Effects on sleep of microdialysis of adenosine Aln and A2a receptor analogs intothe- lateral preoptic areaof rats显示文摘 | Methippara M M Kumar S AlamM N | 2005 | Physiol Regul Integr Comp Physi- ol2005，289，6： | 1 |
| 11 | Optical and Electrical Properties of Transparent Conductive tTO Thin Films Deposited by Sol - gel Process 显示文摘 | ALAMM J CAMERON D C | 2000 | Thin Solid Films2000，，： | 1 |
| 12 | Effects on sleep ofmicrodialysis of adenosine Al and A2a receptor analogs into thelateral preoptic area of rats显示文摘 | MethipparaMM Kumar S AlamM N | 2005 | Am J Physiol Regul Integr CompPhysioi2005，289，6： | 1 |
| 13 | Machine Learning Prediction Models of Optimal Time for Aortic Valve Replacement in Asymptomatic Patients显示文摘Currently,the decision of aortic valve replacement surgery time for asymptomatic patients with moderate-to-severe aortic stenosis(AS)is made by healthcare professionals based on the patient’s clinical biometric records.A delay in surgical aortic valve replacement(SAVR)can potentially affect patients’quality of life.By using ML algorithms,this study aims to predict the optimal SAVR timing and determine the enhancement in moderate-to-severe AS patient survival following surgery.This study represents a novel approach that has the potential to improve decision-making and,ultimately,improve patient outcomes.We analyze data from 176 patients with moderate-to-severe aortic stenosis who had undergone or were indicated for SAVR.We divide the data into two groups:those who died within the first year after SAVR and those who survived for more than one year or were still alive at the last follow-up.We then use six different ML algorithms,Support Vector Machine(SVM),Classification and Regression Tree(C and R tree),Generalized Linear(GL),Chi-Square Automatic Interaction Detector(CHAID),Artificial Neural Net-work(ANN),and Linear Regression(LR),to generate predictions for the best timing for SAVR.The results showed that the SVM algorithm is the best model for predicting the optimal timing for SAVR and for predicting the post-surgery survival period.By optimizing the timing of SAVR surgery using the SVM algorithm,we observed a significant improvement in the survival period after SAVR.Our study demonstrates that ML algorithms generate reliable models for predicting the optimal timing of SAVR in asymptomatic patients with moderate-to-severe AS. | Salah Alzghoul Othman Smadi Ali Al Bataineh Mamon Hatmal Ahmad Alamm | 2023 | Intelligent Automation & Soft Computing2023，，7： | 0 |
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