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| 1 | 应用ImageJ程序包进行材料显微组织图像处理、分析和可视化的一种框架(英文)显示文摘显微组织图像(例如胞、粒子与晶粒等)的数字图像处理、分割和分析,对于获取显微组织特征的三维信息非常重要。已有数种商用和共享程序包可以用于图像的处理和分析。'ImageJ'即其中之一,其长期广泛采用及其可扩展插件形式已使其成为许多不同应用领域科学家选用的工具。它包含了处理、分割、重建和可视化材料显微结构所需要的几乎所有基本的和最新的功能以及图像分析工具(例如‘Particle Analyzer’,‘3D object counter’,‘3D Roi Manager’),以用于成组粒子的复杂统计处理。虽然它在生物医学研究领域很受欢迎,被认为是一种有用的和有效的开放源码的图像处理与分析软件,但是在材料科学领域对其所知甚少。面向材料学界,本文尤其是那些没有图像处理和分析经验的材料科学与工程专业人员,在简要介绍ImageJ的基础上,提出了将其应用于在三维空间中处理、分割和分析显微组织结构连续切片图像的一个通用框架。 | Asad Ullah 刘国权 王浩 Dil Faraz Khan Matiullah Khan | 2012 | 中国体视学与图像分析2012，17，4： | 7 |
| 2 | Passive Control Reinforced Concrete Frame Mechanism with High Strength Reinforcements and Its Potential Benefits Against Earthquakes显示文摘Severe earthquakes continue to cause major catastrophes. Many devices in active, hybrid, and semi-active structural control systems which are used as controllable force devices are costly to build and maintain. The passive control reinforced concrete frame (PCRCF) reinforced with high strength steel only in the columns presented here provides structural systems more resistance to lateral earthquake loadings at comparatively lower cost. The effectiveness is demonstrated by a nonlinear static analysis using fiber model for a single story single bay frame. The study shows that the use of high performance steel in columns pre- vents formation of plastic hinges at the critical column base sections and failures are always initiated by reinforcement yielding at the beam ends. Furthermore, after experiencing severe lateral drift, the passive control design has small residual displacements compared to ordinary reinforced concrete frames. PCRCF rehabilitation and strengthening can be achieved more easily as compared with ordinary reinforced concrete frame. | Asad Ullah Qazi 叶列平 陆新征 | 2006 | Tsinghua Science and Technology2006，11，6： | 6 |
| 3 | 基于光致变色效应的BaMgSiO4:Bi3+陶瓷的发光性质调控及信息的可逆写入、擦除和读出研究(英文)显示文摘光存储技术与传统固态存储和磁存储相比有许多优点,如成本低、可重复性存储.因此,光存储的需求正在持续增长.本文研究了铋掺杂的硅酸镁钡陶瓷的光致变色及光致发光现象.在紫外线(254 nm)和532 nm激光交替辐照下,实现了陶瓷在灰色与粉红色之间的可逆转变.研究证实MgSiO4:Bi^3+陶瓷的可逆光致变色来源于基质中的氧空位陷阱对电子的俘获和释放.基于可逆光致变色效应在陶瓷表面制作不同颜色的图案,实现了光信号的双模式存储和擦除.同时,在光致变色过程中实现了光致发光的可逆调控;通过这种可逆的发光调控行为,实现存储信息的读出;此外,变色和漂白的程度与光照射时间有关,因此可实现多通路编码存储,有望提高光存储容量. | 任友涛 杨正文 王悦辉 李明骏 邱建备 宋志国 余杰 Asad Ullah Imran Khan | 2020 | Science China Materials2020，63，4： | 5 |
| 4 | Two‐ and Three‐Dimensional Speckle Tracking Echocardiography: Clinical Applications and Future Directions显示文摘 | Monodeep Biswas Selvin Sudhakar Navin C. Nanda Gerald Buckberg Manish Pradhan Asad Ullah Roomi Willem Gorissen Helene Houle | 2013 | Echocardiography2013，，1： | 2 |
| 5 | Maize production under risk:The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk显示文摘Farmers in Pakistan continue to produce maize under various types of risks and adopt several strategies to manage those risks. This study is the first attempt to investigate the factors affecting the concurrent adoption of off-farm income diversification and agricultural credit which the farmers use to manage the risk to maize production. We apply bivariate and multinomial probit approaches to the primary data collected from four districts of Punjab Province in Pakistan. The results show that strong correlations exist between the off-farm diversification and agricultural credit which indicates that the use of one risk management strategy leads to another. The findings demonstrate that education, livestock number, maize farming experience, perceptions of biological risks and risk-averse nature of the growers significantly encourage the adoption of diversification as a risk management tool while farm size inversely affects the adoption of diversification. Similarly, in the adoption equation of credit, maize farming experience, farm size, perceptions of price and biological risks and risk attitude of farmers significantly enhance the chances of adopting agricultural credit to manage farm risks. These findings are important for the relevant stakeholders who seek to offer carefully designed risk minimizing options to the maize farmers. | Shoaib Akhtar LI Gu-cheng Adnan Nazir Amar Razzaq Raza Ullah Muhammad Faisal Muhammad Asad Ur Rehman Naseer Muhammad Haseeb Raza | 2019 | Journal of Integrative Agriculture2019，18，2： | 2 |
| 6 | Fournier’s gangrene: A dreadful disease显示文摘 | S. Ullah M. Khan M. Asad Ullah Jan | 2009 | The Surgeon2009，，3： | 1 |
| 7 | Formation of crystalline particles from phase change emulsion: Influence of different parameters显示文摘Solidification or crystallization of phase change emulsion in the form of fine emulsion drops in a direct contact coolant at temperatures below their freezing point was studied. This work is mainly focused on the size and shape of the generated particles from phase change emulsified fats. Size of the particles is the major or key factor being considered during their formation, however, other factors that govern the particle size and shape were also observed. The operating parameters of the process were optimized in order to obtain particles of smaller size ranges in the window of current operating conditions. The crystallization of complex emulsion matrices is very difficult to control in the bulk at desired requirement. Hence, the emulsion drop to particle formation has advantage in comparison with the bulk solidification or crystallization. The main objective of this work is to achieve spherical emulsion particles in a direct contact cooling system. Parameters like: stability, characterization, viscosity, and the effect of different energy inputs were examined. Moreover, the effects of the capillary size, interfacial tension, temperature of the emulsion on the particle size were also monitored. | Javed Iqbal Zulfiqar Ali Murid Hussain Rizwan Sheikh Khaliq Majeed Asad Ullah Khan Joachim Ulrich | 2016 | Chinese Journal of Chemical Engineering2016，24，7： | 1 |
| 8 | Novel biallelic loss-of-function mutations in CFAP43 cause multiple morphological abnormalities of the sperm flagellum in Pakistani families显示文摘Multiple morphological abnormalities of the sperm flagella(MMAF)is a specific type of asthenoteratozoospermia,presenting with multiple morphological anomalies in spermatozoa,such as absent,bent,coiled,short,or irregular caliber flagella.Previous genetic studies revealed pathogenic mutations in genes encoding cilia and flagella-associated proteins(CFAPs;e.g.,CFAP43,CFAP44,CFAP65,CFAP69,CFAP70,and CFAP251)responsible for the MMAF phenotype in infertile men from different ethnic groups.However,none of them have been identified in infertile Pakistani males with MMAF.In the current study,two Pakistani families with MMAF patients were recruited.Whole-exome sequencing(WES)of patients and their parents was performed.WES analysis reflected novel biallelic loss-of-function mutations in CFAP43 in both families(Family 1:ENST00000357060.3,p.Arg300Lysfs*22 and p.Thr526Serfs*43 in a compound heterozygous state;Family 2:ENST00000357060.3,p.Thr526Serfs*43 in a homozygous state).Sanger sequencing further confirmed that these mutations were segregated recessively in the families with the MMAF phenotype.Semiquantitative reverse-transcriptase polymerase chain reaction(qRT-PCR)was carried out to detect the effect of the mutation on mRNA of the affected gene.Previous research demonstrated that biallelic loss-of-function mutations in CFAP43 accounted for the majority of all CFAP43-mutant MMAF patients.To the best of our knowledge,this is the first study to report CFAP43 biallelic loss-of-function mutations in a Pakistani population with the MMAF phenotype.This study will help researchers and clinicians to understand the genetic etiology of MMAF better. | Ihsan Khan Basit Shah Sobia Dil Nadeem Ullah Jian-Teng Zhou Da-Ren Zhao Yuan-Wei Zhang Xiao-Hua Jiang Ranjha Khan Asad Khan Haider Ali Muhammad Zubair Wasim Shah Huan Zhang Qing-Hua Shi | 2021 | Asian Journal of Andrology2021，23，6： | 1 |
| 9 | Foumier' s gangrene: a dreadful disease 显示文摘 | Ullah S Khan M Asad Ullah Jan M | 2009 | Surgeon2009，7，3： | 1 |
| 10 | Measuring quality of experience for 360-degree videos in virtual reality显示文摘In recent years,we witness dramatic growing attention in immersive media technologies like 360-degree videos and virtual reality(VR).However,measuring the quality-of-experience(QoE)for 360-degree VR videos is not a trivial task.Streaming such videos to head mounted displays(HMDs)is extremely bandwidth-demanding when compared to traditional 2D videos.In HTTP adaptive streaming,QoE tends to deteriorate significantly during fluctuating network conditions,which results in various bitrate changes and causes multiple stalling events during playback.Thus,understanding how the human visual system perceives 360-degree video with the effect of stalling and different bitrate levels becomes inevitable.In this paper,we investigate the impact of stalling on users QoE under different bitrate levels and the interaction between stalling event and bitrate level for 360-degree videos in VR.To aim this,we first build a 360-degree videos database by encoding videos in three different bitrate levels(1,5,and 15 Mbps)with 4 K resolutions(3840×1920 pixels).We then simulate various stalling events in the videos and conduct a subjective experiment in a virtual reality environment to investigate the human responses.Finally,we use a Bayesian method to estimate and predict the QoE while measuring the quality drop owing to various stalling events and bitrate changes.Proposed solution and prediction results show a strong dependency between playback stalling and bitrate of 360-degree video in VR.Stalling always impacts the QoE of 360-degree videos,but the strength of this negative impact depends on the video bitrate level.The adverse effect of stalling events is more profound when bitrate level approaches to the high and low end,which is in close agreement with subjective opinion. | Muhammad Shahid ANWAR Jing WANG Asad ULLAH Wahab KHAN Sadique AHMAD Zesong FEI | 2020 | Science China(Information Sciences)2020，63，10： | 1 |
| 11 | A remotely sensed tracking of forest cover and associatedtemperature change in Margalla hills显示文摘Worldwide, forest degradation is a serious environmental issue, and inPakistan, forest wealth is depleting at the highest rate in South Asia. Toensure sustainable development goals of environmental stewardship,social development and economic growth, a sound monitoring andregulatory mechanism is essential for tracking forest cover changes. Thisstudy aims to quantify the decline of forest reserves and associatedtemperature variations in a relatively unexplored biodiversity hotspot ofIslamabad, Margalla Hills National Park (MHNP). Imagery acquired byLandsat TM (Thematic Mapper) for the year 1992, 2000 and 2011 areused to assess the spatial and temporal changes occurred over the lasttwo decades (from 1992 to 2011). A robust hybrid-classification routineis implemented to monitor the changes in forest cover and ANOVAalong with Tukey’s HSD (Honestly Significant Difference) test is used totest the significance of temperature variation associated with a shift inland cover classes. The results showed a significant growth insettlements, agricultural area and barren soil whereas water body, lowervegetation, scrub and pine forest are diminishing. In both decades, thetemperature alteration associated with a change in land cover classesare statistically significant (confirmed by ANOVA and Tukey’s HSD tests)for most of the land use/land cover classes. Based on these findings, thisstudy concludes that forests are dwindling at MHNP and the degradingcondition of the forest is below par and necessitates the promotion ofconservation practices to minimize ecological disturbances. | Noora Khalid Saleem Ullah Sheikh Saeed Ahmad Asad Ali Farrukh Chishtie | 2019 | International Journal of Digital Earth2019，12，10： | 1 |
| 12 | Ethnomedicinal plant use value in the Lakki Marwat District of Pakistan显示文摘 | Shafi Ullah Muhammad Rashid Khan Naseer Ali Shah Sayed Afzal Shah Muhammad Majid Muhammad Asad Farooq | 2014 | Journal of Ethnopharmacology2014，，： | 1 |
| 13 | Treatment outcomes and adverse drug reactions among patients with drug-resistant tuberculosis receiving all-oral,long-term regimens:First record viewing report from Pakistan显示文摘Objective:To assess the effectiveness and adverse drug reactions of all-oral regimens for patients with multidrug-resistant tuberculosis.Methods:This retrospective study was conducted at 10 Programmatic Management of Drug Resistant Tuberculosis sites in Punjab province of Pakistan.Patients receiving treatment for drug resistant tuberculosis from July 2019 to December 2020 with at least interim result i.e.6th month culture conversion or final outcomes(cured,complete,lost to follow-up,failure,death)available,were included in the study.Data was extracted from electronic data management system.For the reporting and management of adverse drug events,active tuberculosis drug safety monitoring and management was implemented across all sites.All the data was analyzed using SPSS version 22.Results:Out of 947 drug resistant tuberculosis patients included in this study,579(68%)of the patients had final outcomes available.Of these,384(67.9%)successfully completed their treatment.Out of 368(32%)patients who had their interim results available,all had their 6th month culture negative.Combining new medications was thought to result in serious adverse outcomes such as QT prolongation.However,this study did not record any severe adverse events among patients.Conclusions:All-oral regimens formulation guided by overall treatment effectiveness resulted in treatment outcomes comparable to those obtained with traditional injectable treatment. | Hira Aslam Asad Omar Razia Fatima Usman Rasool Aashifa Yaqoob Waseem Ullah Aamir Khan Yusra Habib Khan Tauqeer Hussain Mallhi | 2023 | Asian Pacific Journal of Tropical Medicine2023，16，2： | 0 |
| 14 | A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels显示文摘Continuous cooling transformation diagrams in synthetic weld heat-affected zone(SH-CCT diagrams)show the phase transition temperature and hardness at different cooling rates,which is an important basis for formulating the welding process or predicting the performance of welding heat-affected zone.However,the experimental determination of SH-CCT diagrams is a time-consuming and costly process,which does not conform to the development trend of new materials.In addition,the prediction of SHCCT diagrams using metallurgical models remains a challenge due to the complexity of alloying elements and welding processes.So,in this study,a hybrid machine learning model consisting of multilayer perceptron classifier,k-Nearest Neighbors and random forest is established to predict the phase transformation temperature and hardness of low alloy steel using chemical composition and cooling rate.Then the SH-CCT diagrams of 6 kinds of steels are calculated by the hybrid machine learning model.The results show that the accuracy of the classification model is up to 100%,the predicted values of the regression models are in good agreement with the experimental results,with high correlation coefficient and low error value.Moreover,the mathematical expressions of hardness in welding heat-affected zone of low alloy steel are calculated by symbolic regression,which can quantitatively express the relationship between alloy composition,cooling time and hardness.This study demonstrates the great potential of the material informatics in the field of welding technology. | Xiaoxiao Geng Xinping Mao Hong-Hui Wu Shuize Wang Weihua Xue Guanzhen Zhang Asad Ullah Hao Wang | 2022 | Journal of Materials Science & Technology2022，，12： | 0 |
| 15 | Variation in patient dose due to differences in calibration and dosimetry protocols显示文摘For precise and accurate patient dose delivery,the dosimetry system must be calibrated properly according to the recommendations of standard dosimetry protocols such as TG-51 and TRS-398. However, the dosimetry protocol followed by a calibration laboratory is usually different from the protocols that are followed by different clinics, which may result in variations in the patient dose.Our prime objective in this study was to investigate the effect of the two protocols on dosimetry measurements.Dose measurements were performed for a Co-60 teletherapy unit and a high-energy Varian linear accelerator with 6 and 15 MV photon and 6, 9, 12, and 15 MeV electron beams, following the recommendations and procedures of the AAPM TG-51 and IAEA TRS-398 dosimetry protocols. The dosimetry systems used for this study were calibrated in a Co-60 radiation beam at the Secondary Standard Dosimetry Laboratory(SSDL) PINSTECH,Pakistan, following the IAEA TRS-398 protocol. The ratio of the measured absorbed doses to water in clinical setting,D_w(TG-51/TRS-398), was 0.999 and 0.997 for 6 and15 MV photon beams,whereas these ratios were 1.013,1.009, 1.003, and 1.000 for 6, 9, 12, and 15 MeV electron beams, respectively. This difference in the absorbed dosesto-water D_w ratio may be attributed mainly due to beam quality(K_Q) and ion recombination correction factor. | Wazir Muhammad Asad Ullah Gulzar Khan Tahir Zeb Khan Tauseef Jamaal Fawad Ullah Matiullah Khan Amjad Hussain | 2018 | Nuclear Science and Techniques2018，29，5： | 0 |
| 16 | Geochemistry and in-situ U-Th/Pb Geochronology of the Jambil Meta-Carbonatites, Northern Pakistan: Implications on Petrogenesis and Tectonic Evolution显示文摘The putative Jambil meta-carbonatites of Swat,northern Pakistan,occur as discrete intrusions into the Proterozoic Manglaur Formation,which are difficult to be distinguished from nearby calc-silicate marble because both rock types experienced regional metamorphism during Himalayan orogenesis that resulted in similar mosaic textures and mineral assemblages.Carbonatites are often significant repositories of economic mineral resources and,therefore,are important to be distinguished from calc-silicate marble.We present new geochemical and geochronology data to distinguish between the two rock types and interpret the petrogenesis and tectonic evolution of the Jambil metacarbonatites.Whole rock chemical data from the Jambil meta-carbonatites show characteristically high rare earth element(REE),Sr contents and lack of negative Eu anomaly,consistent with average calcio-carbonatite values worldwide and an igneous origin.More than 0.5 wt.% SrO in the metacarbonatites and SrO> 0.15 wt.% in constituent rock forming calcite are discriminating signatures of the Jambil meta-carbonatites.Chemically,the Jambil meta-carbonatites are relatively depleted in Rb,Nb,Ta,Ti,Zr and Hf,relatively enriched in Ba,Th,Sr,and have a high LREE/HREE ratio when normalized to primitive mantle.Their carbon and oxygen isotope compositions vary from-3.5‰ to-4.3‰and from 9.7‰ to 12.3‰,respectively.These geochemical characteristics indicate generation of the carbonatites through small degree of partial melting from a carbonated eclogitic source.In-situ,U/Pb analysis of titanite indicates that the Jambil meta-carbonatites were emplacement at 438 ±3 Ma.When combined with regional geological observations,we interpret the emplacement of the Jambil metacarbonatites to have taken place during the Silurian back arc extension within greater Gondwana and mark a transition from a compressional tectonic regime,brought about by collision of microcontinental blocks along the northern margin of Gondwana,to post-orogenic extension in the waning stages of the pre-Himalayan Ordovician orogeny.Finally,in-situ ^(208)Pb/^(232)Th monazite dates(40.3-27.6Ma) extracted from the meta-carbonatites are consistent with the Cenozoic metamorphism of the area. | Asad Khan Shah Faisal Kyle P.Larson Delores M.Robinson Huan Li Zaheen Ullah Mark Button Javed Nawab Muhammad Farhan Liaqat Ali Muhammad Ali | 2023 | Journal of Earth Science2023，34，1： | 0 |
| 17 | Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases显示文摘IIF(Indirect Immune Florescence)has gained much attention recently due to its importance in medical sciences.The primary purpose of this work is to highlight a step-by-step methodology for detecting autoimmune diseases.The use of IIF for detecting autoimmune diseases is widespread in different medical areas.Nearly 80 different types of autoimmune diseases have existed in various body parts.The IIF has been used for image classification in both ways,manually and by using the Computer-Aided Detection(CAD)system.The data scientists conducted various research works using an automatic CAD system with low accuracy.The diseases in the human body can be detected with the help of Transfer Learning(TL),an advanced Convolutional Neural Network(CNN)approach.The baseline paper applied the manual classification to the MIVIA dataset of Human Epithelial cells(HEP)type II cells and the Sub Class Discriminant(SDA)analysis technique used to detect autoimmune diseases.The technique yielded an accuracy of up to 90.03%,which was not reliable for detecting autoimmune disease in the mitotic cells of the body.In the current research,the work has been performed on the MIVIA data set of HEP type II cells by using four well-known models of TL.Data augmentation and normalization have been applied to the dataset to overcome the problem of overfitting and are also used to improve the performance of TL models.These models are named Inception V3,Dens Net 121,VGG-16,and Mobile Net,and their performance can be calculated through parameters of the confusion matrix(accuracy,precision,recall,and F1 measures).The results show that the accuracy value of VGG-16 is 78.00%,Inception V3 is 92.00%,Dense Net 121 is 95.00%,and Mobile Net shows 88.00%accuracy,respectively.Therefore,DenseNet-121 shows the highest performance with suitable analysis of autoimmune diseases.The overall performance highlighted that TL is a suitable and enhanced technique compared to its counterparts.Also,the proposed technique is used to detect autoimmune diseases with a minimal margin of errors and flaws. | Fayaz Muhammad Jahangir Khan Asad Ullah Fasee Ullah Razaullah Khan Inayat Khan Mohammed ElAffendi Gauhar Ali | 2023 | Computers, Materials & Continua2023，77，10： | 0 |
| 18 | Climatic Changes and Their Effect on Wildlife of District Dir Lower, Khyber Pakhtunkhwa, Pakistan显示文摘Climatic changes and their impact are increasingly evident in Pakistan,especially in the mountainous regions. Mountain ecosystems are consideredto be sensitive indicators of global warming;even slight variationsin temperature can lead to significant shifts in local climate, which can,in turn, drastically affect the natural environment, subsequently alteringpeople’s lifestyle and wildlife habitats. The targeted area for the presentresearch was Lower Dir District, Pakistan. The study gathered the requiredinformation from primary and secondary sources. Secondary dataon temperature and precipitation were obtained from various sources,i.e., local CBO, including WWF Pakistan. Based on information gatheredon climate change and wildlife, a detailed questionnaire was designed.Results showed that no regular pattern of the increase was found in temperaturefrom 2010 to 2018;the same was noticed in the rainfall decreasepattern. Results also showed that the leading causes behind climaticchanges are an increase in greenhouse gases due to pollution by industries,vehicles, crushing plants, deforestation, and some natural phenomenasuch as floods. The study showed that more than 80% of the respondentsagreed that climatic effects have a significant impact on wildlife, i.e.,the existence of wildlife falls in danger due to climatic changes as it maylead to habitat change, making it difficult for the survival and adaptationof the wildlife. Hence, in consequence, it leads to migration, low growthrate, an increase in morbidity and mortality rate, and finally leading to theextinction of the species or population. It is concluded from the study thatpeople are severely noticing the climatic change and its leading causesare greenhouse gases and deforestation. To control climatic changes andwildlife extinction, we need an appropriate policy for forest conservation,wildlife conservation, prevent hunting, industrial pollution control, vehiclepollution control, increase in plantation, awareness of policy for thecontrol of climatic changes, etc. | Asad Ullah Sayyed Iftekhar Ahmad Rafi Ullah Atta Ullah Khan Sikandar Khan Waheed Ullah Abdul Waris | 2020 | Journal of Atmospheric Science Research2020，3，4： | 0 |
| 19 | Neighborhood topological effect on grain topology-size relationship in three-dimensional polycrystalline microstructures显示文摘A new grain topology-size relationship in three-dimensional(3D)polycrystalline microstructures has recently been established by considering the effects of non-random first nearest neighbor grains.In this contribution,a generalized form for this relationship is presented by considering the interactions of kth(k=1,2,3…)nearest neighbor grains,and large scale Monte Carlo-Potts model simulation is used to investigate the general neighborhood topological effect on the topology-size relationship.The results show that,unlike their first nearest neighbors(k=1),the topological correlations of 3D grains with their kth layers(k 2)of nearest-neighbors may have trivial effect on the topology-size relationship. | ASAD Ullah LIU GuoQuan WANG Hao MATIULLAH Khan DIL Faraz Khan M ZUBAIR Iqbal | 2013 | Chinese Science Bulletin2013，58，30： | 0 |
| 20 | Deep Learning for Medication Recommendation:A Systematic Survey显示文摘Making medication prescriptions in response to the patient's diagnosis is a challenging task.The number of pharmaceutical companies,their inventory of medicines,and the recommended dosage confront a doctor with the well-known problem of information and cognitive overload.To assist a medical practitioner in making informed decisions regarding a medical prescription to a patient,researchers have exploited electronic health records(EHRs)in automatically recommending medication.In recent years,medication recommendation using EHRs has been a salient research direction,which has attracted researchers to apply various deep learning(DL)models to the EHRs of patients in recommending prescriptions.Yet,in the absence of a holistic survey article,it needs a lot of effort and time to study these publications in order to understand the current state of research and identify the best-performing models along with the trends and challenges.To fill this research gap,this survey reports on state-of-the-art DL-based medication recommendation methods.It reviews the classification of DL-based medication recommendation(MR)models,compares their performance,and the unavoidable issues they face.It reports on the most common datasets and metrics used in evaluating MR models.The findings of this study have implications for researchers interested in MR models. | Zafar Ali Yi Huang Irfan Ullah Junlan Feng Chao Deng Nimbeshaho Thierry Asad Khan Asim Ullah Jan Xiaoli Shen Wu Ruil Guilin Qi | 2023 | Data Intelligence2023，5，2： | 0 |
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