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Type 2 Diabetes Risk Prediction Using Deep Convolutional Neural Network Based-Bayesian Optimization

Computers, Materials & Continua 2023年第5期75卷 3223-3238页

作者： Alawi Alqushaibi Mohd Hilmi hasan Said Jadid Abdulkadir Amgad Muneer Mohammed Gamal Qasem Al-Tashi Shakirah Mohd Taib Hitham Alhussian Computer&Information Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Department of Imaging Physics University of Texas MD Anderson CancerHoustonTXUSA

Diabetes mellitus is a long-term condition characterized by *** could lead to plenty of *** to rising morbidity in recent years,the world’s diabetic patients will exceed 642 million by 2040,implying that one out of every ten persons will be *** is no doubt that this startling figure requires immediate attention from industry and academia to promote innovation and growth in diabetes risk prediction to save individuals’*** to its rapid development,deep learning(DL)was used to predict numerous ***,DLmethods still suffer from their limited prediction performance due to the hyperparameters selection and parameters ***,the selection of hyper-parameters is critical in improving classification *** study presents Convolutional Neural Network(CNN)that has achieved remarkable results in many medical domains where the Bayesian optimization algorithm(BOA)has been employed for hyperparameters selection and parameters *** issues have been investigated and solved during the experiment to enhance the *** first is the dataset class imbalance,which is solved using Synthetic Minority Oversampling Technique(SMOTE)*** second issue is the model’s poor performance,which has been solved using the Bayesian optimization *** findings indicate that the Bayesian based-CNN model superbases all the state-of-the-art models in the literature with an accuracy of 89.36%,F1-score of 0.88.6,andMatthews Correlation Coefficient(MCC)of 0.88.6.

关键词： Type 2 diabetes diabetes mellitus convolutional neural network Bayesian optimization SMOTE

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Long-term outcomes of titanium-nitride-oxide coated stents and drug-eluting stents in acute coronary syndrome:A systematic review and meta-analysis

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World Journal of Cardiology 2024年第5期16卷 293-305页

作者： Muhammad Ahmed Ali Fahim Afia Salman Hira Anas Khan Syed Muhammad hasan Muskan FatimaBhojani Sarah Aslam Amna Zia Ul Haq Vishal Reddy Bejugam Beena Muntaha Nasir Wajiha Gul Abdul Moeed Abdelrahman S Abdalla Muhammad Majid Muhammad Sohaib Asghar md.Al Hasibuzzaman Department of Internal Medicine Dow University of Health SciencesKarachi 74200Pakistan Department of Internal Medicine North Central Bronx HospitalBronxNY 10467United States Department of Urology Center for Academic MedicineStanford University School of MedicinePalo AltoCA 33872United States Department of Cardiovascular Imaging Cleveland ClinicClevelandOH 44195United States Division of Nephrology and Hypertension Mayo Clinic RochesterRochesterMN 55905United States Institute of Nutrition and Food Science University of DhakaDhaka 1000Bangladesh

BACKGROUND In severe cases of coronary artery disease,percutaneous coronary intervention provide promising *** stent used could be a drug-eluting stent(DES)or a titanium-nitride-oxide coated stent(TiNOS).AIM To compare the 5-year effectiveness and safety of the two stent *** The following systematic review and meta-analysis was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis guidelines,and PubMed/MEDLINE,Scopus,and Cochrane Central were searched from inception till August *** outcomes were major adverse cardiac events(MACE),cardiac death,myocardial infarction(MI),cardiac death or MI,and ischemia-driven total lesion revascularization(ID-TLR).RESULTS Four randomized controlled trials(RCT),which analyzed a sum total of 3045 patients with acute coronary syndrome(ACS)after a median follow-up time of 5 years were *** statistically insignificant,an increase in the ID-TLR was observed in patients receiving TiNOSs vs *** addition,MI,cardiac death and MI,and definite stent thrombosis(DST)were significantly decreased in the TiNOS *** analysis revealed no significant results with meta-regression presenting non-ST elevated MI(NSTEMI)as a statistically significant covariate in the outcome of *** TiNOS was found to be superior to DES in terms of MI,cardiac death or MI,and DST outcomes,however,the effect of the two stent types on ID-TLR and MACE was not significant.A greater number of studies are required to establish an accurate comparison of patient outcomes in TiNOS and DES.

关键词： Stents Drug-eluting Major adverse cardiac events All-cause death Meta-analysis

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A multi-purpose National Forest Inventory in Bangladesh:design,operationalisation and key results

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Forest Ecosystems 2021年第1期8卷 151-172页

作者： Matieu Henry Zaheer Iqbal Kristofer Johnson Mariam Akhter Liam Costello Charles Scott Rashed Jalal md.Akhter Hossain Nikhil Chakma Olaf Kuegler Hossain Mahmood Rajib Mahamud Mohammad Raqibul hasan Siddique Khaled Misbahuzzaman Mohammad Main Uddin Mohammed Al Amin Farid Uddin Ahmed Gael Sola md.Baktiar Siddiqui Luca Birigazzi Mahmudur Rahman Ilias Animon Saimunnahar Ritu Laskar Muqsudur Rahman Aminul Islam Heather Hayden Frida Sidik Mondal Falgoonee Kumar Rakibul Hassan Mukul Hossain Nishad Ariful Hoque Belal Asif Reza Anik Abdul Khaleque md.Shaheduzzaman Syed Shahadat Hossain Tariq Aziz md.Tauhidor Rahaman Ruhul Mohaiman Patrick Meyer Purnata Chakma A.Z.M.Manzoor Rashid Sourav Das Shrabanti Hira Mohammed Jashimuddin Mohammad Mahfuzur Rahman Karl Wurster Sarder Nasir Uddin Abul Kalam Azad S.M.Zahirul Islam Laurent Saint-André Food and Agriculture Organization of the United Nations Viale delle Terme di Caracalla00153 RomeItaly Forest Department Ministry of EnvironmentForests and Climate ChangeBan BhabanShere Bangla NagarAgargaonDhaka 1207Bangladesh School of Ecosystem and Forest Sciences University of MelbourneParkville VictoriaMelbourne 3010Australia United States Forest Service(USFS)/SilvaCarbon WashingtonD.CUSA Institute of Forestry and Environmental Sciences(IFES) University of ChittagongChattogramBangladesh Department of Forestry and Environmental Science Rangamati Science and Technology UniversityRangamatiBangladesh Forestry and Wood Technology Discipline Khulna UniversityKhulnaBangladesh School of Biological Sciences The University of QueenslandQLDBrisbane 4072Australia Arannyak Foundation DhakaBangladesh United Nations Framework Convention on Climate Change(UNFCCC) BonnGermany Bangladesh Space Research and Remote Sensing Organization(SPARRSO) DhakaBangladesh Institute for Marine Research and Observation Ministry of Marine Affairs and FisheriesNegaraBaliIndonesia Department of Agricultural Economics Bangabandhu Sheikh Mujibur Rahman Agricultural University(BSMRAU)GazipurBangladesh Bangladesh Bureau of Statistics(BBS) DhakaBangladesh Institute of Statistical Research and Training University of DhakaDhakaBangladesh United States Agency for International Development(USAID) DhakaBangladesh Department of Forestry and Environmental Science Shahjalal University of Science and TechnologyKumargaonSylhetBangladesh Department of Biological Sciences Faculty of Science and EngineeringMacquarie UniversitySydneyAustralia Bangladesh National Herbarium(BNH) Zoo RoadMirpurDhakaBangladesh Bangladesh Forest Research Institute(BFRI) SholoshaharChottogramBangladesh National Research Institute for Agriculture Food and Environment(INRAE)ParisFrance

Background:National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and *** systems are especially important in a country like Bangladesh,which is characterised by a large population density,climate change vulnerability and dependence on natural *** the aim of supporting the Government’s actions towards sustainable forest management through reliable information,the Bangladesh Forest Inventory(BFI)was designed and implemented through three components:biophysical inventory,socio-economic survey and remote sensing-based land cover *** article documents the approach undertaken by the Forest Department under the Ministry of Environment,Forests and Climate Change to establish the BFI as a multipurpose,efficient,accurate and replicable national forest *** design,operationalization and some key results of the process are ***:The BFI takes advantage of the latest and most well-accepted technological and methodological ***,it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international ***,1781 field plots were visited,6400 households were surveyed,and a national land cover map for the year 2015 was *** technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map,an object-based national land characterisation system,consistent estimates between sample-based and mapped land cover areas,use of mobile apps for tree species identification and data collection,and use of differential global positioning system for referencing plot ***:Seven criteria,and multiple associated indicators,were developed for monitoring progress towards sustainable forest management goals,informing management decisions,and national and international reporting needs.A wide range of biophysica

关键词： South-Asia Forest monitoring Innovation Remote sensing Socio-economic Partnership Ecosystem services Carbon sequestration

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Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement:The role of machine learning

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World Journal of Cardiology 2023年第3期15卷 95-105页

作者： Pradyumna Agasthi hasan Ashraf Sai Harika Pujari Marlene Girardo Andrew Tseng Farouk Mookadam Nithin Venepally Matthew R Buras Bishoy Abraham Banveet K Khetarpal Mohamed Allam Siva K Mulpuru md.Mackram F Eleid Kevin L Greason Nirat Beohar John Sweeney David Fortuin David R Jr Holmes Reza Arsanjani Department of Cardiology Mayo ClinicPhoenixAZ 85054United States Department of Internal Medicine The Brooklyn Hospital CenterBrooklynNY 11201United States Department of Biostatistics Mayo ClinicPhoenixAZ 85054United States Department of Cardiovascular Diseases Mayo ClinicRochesterMN 55905United States Department of Statistics Mayo ClinicPhoenixAZ 85054United States Department of Cardiovascular Surgery Mayo ClinicRochesterMN 55905United States Mount Sinai Medical Center Columbia UniversityMiami BeachFL 33138United States

BACKGROUND Atrioventricular block requiring permanent pacemaker(PPM)implantation is an important complication of transcatheter aortic valve replacement(TAVR).Application of machine learning could potentially be used to predict preprocedural risk for *** To apply machine learning to be used to predict pre-procedural risk for *** A retrospective study of 1200 patients who underwent TAVR(January 2014-December 2017)was performed.964 patients without prior PPM were included for a 30-d analysis and 657 patients without PPM requirement through 30 d were included for a 1-year *** the exclusion of variables with near-zero variance or≥50%missing data,167 variables were included in the random forest gradient boosting algorithm(GBM)optimized using 5-fold cross-validations repeated 10 *** receiver operator curve(ROC)for the GBM model and PPM risk score models were calculated to predict the risk of PPM at 30 d and 1 *** Of 964 patients included in the 30-d analysis without prior PPM,19.6%required PPM *** mean age of patients was 80.9±8.7 years.42.1%were *** 657 patients included in the 1-year analysis,the mean age of the patients was 80.7±*** those,42.6%of patients were female and 26.7%required PPM at 1-year *** area under ROC to predict 30-d and 1-year risk of PPM for the GBM model(0.66 and 0.72)was superior to that of the PPM risk score(0.55 and 0.54)with a P value<*** The GBM model has good discrimination and calibration in identifying patients at high risk of PPM post-TAVR.

关键词： Transcatheter aortic valve replacement Permanent pacemaker implantation Machine learning

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Alzheimer Disease Detection Empowered with Transfer Learning

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Computers, Materials & Continua 2022年第3期70卷 5005-5019页

作者： Taher M.Ghazal Sagheer Abbas Sundus Munir M.A.Khan Munir Ahmad Ghassan F.Issa Syeda Binish Zahra Muhammad Adnan Khan Mohammad Kamrul hasan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600 BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea

Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called *** people die due to this disease every year because this is not curable but early detection of this disease can help restrain the ***’s ismost common in elderly people in the age bracket of 65 and *** automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer *** learning and machine learning techniques are used to solvemanymedical problems like *** proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(md.,Moderate demented(MOD),Non-demented(ND),Very mild demented(Vmd..Simulation results have shown that the proposed systemmodel gives 91.70%*** also observed that the proposed system gives more accurate results as compared to previous approaches.

关键词： Convolutional neural network(CNN) alzheimer’s disease(AD) medical resonance imagining mild demented

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Effect of spatial heterogeneity on level of rejuvenation in Ni80P20 metallic glass

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Chinese Physics B 2022年第9期31卷 435-443页

作者： Tzu-Chia Chen Mahyuddin KM Nasution Abdullah hasan Jabbar Sarah Jawad Shoja Waluyo Adi Siswanto Sigiet Haryo Pranoto Dmitry Bokov Rustem Magizov Yasser Fakri Mustafa A.Surendar Rustem Zalilov Alexandr Sviderskiy Alla Vorobeva Dmitry Vorobyev Ahmed Alkhayyat Dhurakij Pundit University Bangkok 10210Thailand Data Science and Computational Intelligence Research Group Universitas Sumatera UtaraMedanIndonesia Optical Department College of Health and Medical TechnologySawa UniversityMinistry of Higher Education and Scientific ResearchAl-MuthanaaSamawahIraq College of Health&Medical Technology Al-Ayen UniversityIraq Faculty of Engineering Universitas Muhammadiyah SurakartaJawa Tengah 57102Indonesia Department of Mechanical Engineering Faculty of Science and TechnologyUniversitas Muhammadiyah Kalimantan TimurSamarinda 75124Indonesia Institute of Pharmacy Sechenov First Moscow State Medical University8 Trubetskaya St.Bldg.2Moscow 119991Russia Kazan Federal University KazanRussia Department of Pharmaceutical Chemistry College of PharmacyUniversity of MosulMosul-41001Iraq Department of Pharmacology Saveetha Dental College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiIndia Nosov Magnitogorsk State Technical University MagnitogorskRussia Innovative University of Eurasia PavlodarRepublic of Kazakhstan K.G.Razumovsky Moscow State University of Technologies and Management(The First Cossack University) Moscow 109004Russia College of Technical Engineering The Islamic UniversityNajafIraq

Understanding the relation between spatial heterogeneity and structural rejuvenation is one of the hottest topics in the field of metallic glasses(MGs).In this work,molecular dynamics(md.simulation is implemented to discover the effects of initial spatial heterogeneity on the level of rejuvenation in the Ni_(80)P_(20)*** this purpose,the samples are prepared with cooling rates of 10^(10) K/s-10^(12) K/s to make glassy alloys with different atomic ***,it is found that the increase in the cooling rate leads the Gaussian-type shear modulus distribution to widen,indicating the aggregations in both elastically soft and hard *** the primary evaluations,the elastostatic loading is also used to transform structural rejuvenation into the atomic *** results indicate that the sample with intermediate structural heterogeneity prepared with 10^(11) K/s exhibits the maximum structural rejuvenation which is due to the fact that the atomic configuration in an intermediate structure contains more potential sites for generating the maximum atomic rearrangement and loosely packed regions under an external *** features of atomic rearrangement and structural changes under the rejuvenation process are discussed in detail.

关键词： metalic glasses mechanical properties molecular dynamics simulation disordered solids

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Combinatorial Synthesis and High-Throughput Characterization of Microstructure and Phase Transformation in Ni-Ti-Cu-V Quaternary Thin-Film Library

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Engineering 2020年第6期6卷 637-643页

作者： Naila M.Al hasan Huilong Hou Suchismita Sarkar Sigurd Thienhaus Apurva Mehta Alfred Ludwig Ichiro Takeuchi Department of Materials Science and Engineering University of MarylandCollege ParkMD 20742USA Stanford Synchrotron Radiation Lightsource SLAC National Accelerator LaboratoryMenlo ParkCA 94025USA Werkstoffe der Mikrotechnik Ruhr-Universitat BochumBochum 44801Germany

Ni-Ti-based shape memory alloys(SMAs)have found widespread use in the last 70 years,but improving their functional stability remains a key quest for more robust and advanced *** for their ability to retain their processed shape as a result of a reversible martensitic transformation,SMAs are highly sensitive to compositional *** with ternary and quaternary elements to finetune the lattice parameters and the thermal hysteresis of an SMA,therefore,becomes a challenge in materials *** materials science allows streamlining of the synthesis process and data management from multiple characterization *** this study,a composition spread of Ni-Ti-Cu-V thin-film library was synthesized by magnetron co-sputtering on a thermally oxidized Si ***-dependent phase transformation temperature and microstructure were investigated and determined using high-throughput wavelength dispersive spectroscopy,synchrotron X-ray diffraction,and temperature-dependent resistance *** the 177 compositions in the materials library,32 were observed to have shape memory effect,of which five had zero or near-zero thermal *** compositions provide flexibility in the operating temperature regimes that they can be used in.A phase map for the quaternary system and correlations of functional properties are discussed w让h respect to the local microstructure and composition of the thin-film library.

关键词： Ni-Ti-Cu-V alloys Combinatorial materials science Quaternary alloys Shape memory alloys Thin-film library Elastocaloric cooling Thermoelastic cooling Phase transformation High-throughput characterization Property mapping Machine learning

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大力增强人员的技能审视在工业4.0智能化机器时代对高质量人力资源的同步需求

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中国认证认可 2022年第1期 13-18页

作者：扎希德·哈桑切明·阿克特·优尔米李文远(译) 不详标智达(北京)管理咨询有限公司

工业4.0需要特定的技能和人才。在一些国家,人力资源并未能满足这些需求。广大组织的员工必须更加具备智慧和技能,才能在这种新技术驱动的大环境下脱颖而出。为了解决人力资源在技能上的差距,就需要在学校教育之外进行更多的教育和培训... 详细信息

工业4.0需要特定的技能和人才。在一些国家,人力资源并未能满足这些需求。广大组织的员工必须更加具备智慧和技能,才能在这种新技术驱动的大环境下脱颖而出。为了解决人力资源在技能上的差距,就需要在学校教育之外进行更多的教育和培训。发展这些技能会付出必要的成本,但是这样做应被视为是保持质量符合性的重要组成部分。作者在本文中提供的相关建议,可以帮助学员在超越其学业成就之外,成为掌握高技能并拥有价值的人力资源。

关键词：人力资源符合性教育和培训学业成就高技能

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饮用水砷暴露与QT间期延长:砷对健康影响的纵向研究结果

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环境与职业医学 2013年第7期30卷 550-550页

作者： Yu Chen Fen Wu Faruque parvez Alauddin Ahmed Mahbub Eunus Tyler R.McClintock Tazul Islam Patwary Tariqul Islam Anajan Kumar Ghosal Shahidul Islam Rabiul hasan Diane Levy Golam Sarwar Vesna Slavkovich Alexander van Geen Joseph H.Graziano Habibul Ahsan

[背景]饮用水砷暴露与心脏疾病相关联,然而内在的机制尚不明确。[目的]评估饮用水砷暴露史与心率校正的QT(QTc)、PR和QRS间期延长之间的关联。[方法]从砷对健康影响的纵向研究中选择1715名基线入组的参加者进行研究。评估2005—2010年间... 详细信息

[背景]饮用水砷暴露与心脏疾病相关联,然而内在的机制尚不明确。[目的]评估饮用水砷暴露史与心率校正的QT(QTc)、PR和QRS间期延长之间的关联。[方法]从砷对健康影响的纵向研究中选择1715名基线入组的参加者进行研究。评估2005—2010年间,井水中的砷暴露和尿液样本与心电图(ECG)参数的关联,自基线开始平均跟踪了5.9年。[结果]QTc延长的定义为男性QTc≥450ms,女性≥460ms。井水中砷每增加1-SD(108.7μg/L),QTc延长的调整比值比(OR)为1.17(95%CI:1.01～1.35)。正相关仅限于女性,基线时井水和尿液中的砷每增加1-SD,女性调整后ORs分别比为1.24(95%CI:1.05～1.47)和1.24(95%CI:1.01～1.53);与之相比,男性调整后ORs分别为0.99(95%CI:0.73～1.33)和0.86(95%CI:0.49～1.51)。基线时井水砷或尿砷与女性或男性的PR或QRS间期延长之间无明显的关联。[结论]长期饮用水砷暴露(平均95μg/L,全距为0.1～790μg/L)与女性之后的QT间期延长相关联。在今后的纵向研究中,ECG的反复测量对于评估暴露变化的影响将具有重要意义。

关键词：砷孟加拉心血管疾病心电图心率校正的QT间期环境暴露

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孟加拉国农村0～2岁儿童人群的腹泻疾病发生率和危险因素

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世界核心医学期刊文摘（儿科学分册） 2006年第A10期2卷 6-7页

作者： Pathela P. hasan K.Z. Roy E. R.B. Sack 张振 Department of International Health Johns Hopkins University Bloomberg School of Public Health 615 N.Wolfe St. Baltimore MD 21205 United States

Aim: To describe clinical characteristics and age- and season- specific incidences of diarrheal episodes, and to evaluate risk factors associated with the occurrence of diarrheal disease. Methods: A total of 252 infants from rural Bangladesh were followed through household surveillance for 2 y from birth during the years 1993- 1996. Demographic and household determinants were linked to the probability of illness using logistic regression models. Results: The overall incidence of diarrhea was 4.25 episodes per child per year. Peak rates of overall, acute, and persistent diarrhea occurred in the 6- 11- mo and 12- 17- mo age groups. Diarrheal rates peaked during the spring and summer. Among host- related characteristics, having a sibling in the household and having had prior diarrhea were significant risk factors for diarrhea. Among environmental characteristics, spring season remained a highly statistically significant risk factor for diarrhea. Conclusion: Diarrheal disease continues to be a substantial burden in young children in rural Bangladesh. Most diarrheal episodes are of short duration, and should primarily be treated with oral rehydration therapy to prevent diarrhea- related mortality. Improved knowledge of oral rehydration therapy, feeding during episodes to prevent further malnutrition, prolonged breastfeeding, and the keeping of livestock in corralled areas of the home areadvocated.

关键词：疾病发生率持续性腹泻口服补液疗法腹泻病腹泻发病率总体发病率统计学显著性相关性因素龄组

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