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Standard NER Tagging Scheme for Big Data Healthcare Analytics built on Unified Medical Corpora

Journal of Artificial Intelligence and Technology 2022年第4期2卷 152-157页

作者： Sarah Shafqat hammad majeed Qaisar Javaid Hafiz Farooq Ahmad Department of basic and Applied Sciences International Islamic University(IIU)IslamabadPakistan Department of Computer Science National University of Computer and Emerging SciencesIslamabadPakistan Computer Science Department College of Computer Sciences and Information Technology(CCSIT)King Faisal UniversityAl-Ahsa 31982Saudi Arabia

The motivation for this research comes from the gap found in discovering the common ground for medical context learning through analytics for different purposes of diagnosing,recommending,prescribing,or treating patients for uniform phenotype features from patients’*** authors of this paper while searching for possible solutions for medical context learning found that unified corpora tagged with medical nomenclature was missing to train the analytics for medical context ***,here we demonstrated a mechanism to come up with uniform NER(Named Entity Recognition)tagged medical corpora that is fed with 14407 endocrine patients’data set in Comma Separated Values(CSV)format diagnosed with diabetes mellitus and comorbidity *** other corpus is of ICD-10-CM coding scheme in text format taken from ***-10-CM corpus is to be tagged for understanding the medical context with uniformity for which we are conducting different experiments using common natural language programming(NLP)techniques and frameworks like TensorFlow,Keras,Long Short-Term Memory(LSTM),and *** our preliminary experiments,albeit label sets in form of(instance,label)pair were tagged with Sequential()model formed on *** and Bi-LSTM NLP *** maximum accuracy achieved for model validation was 0.8846.

关键词： big data endocrine diseases international diabetes federation healthcare analytics ICD-10 medical Corpora NLP

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活性赤泥-聚吡咯复合材料对活性黄-145染料的吸附研究

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水处理技术 2024年第5期50卷 47-53页

作者： Muhammad Talha majeed 李扬 hammad Saulat 吴博文李攀钰胡浩权大连理工大学化工学院煤化工研究所辽宁大连116024

染料是一种结构复杂、具有剧毒的有机化合物,对人体毒害作用大。本研究制备了一种基于活性赤泥(activated red mud,ARM)和聚合吡咯(polypyrrole,PPy)的吸附剂,并应用于水溶液中染料的吸附脱除。通过吸附实验研究了溶液pH、吸附剂种类、... 详细信息

染料是一种结构复杂、具有剧毒的有机化合物,对人体毒害作用大。本研究制备了一种基于活性赤泥(activated red mud,ARM)和聚合吡咯(polypyrrole,PPy)的吸附剂,并应用于水溶液中染料的吸附脱除。通过吸附实验研究了溶液pH、吸附剂种类、吸附时间、添加量和染料初始浓度对吸附过程的影响,并对ARM-PPy复合材料进行分析表征,阐明了活性黄染料-145(RYD-145)的吸附作用机制。RYD-145在ARM-PPy上的吸附过程与三种吸附等温线关联极好(R2>0.99),其中Langmuir吸附最合适。根据Langmuir吸附模型的拟合结果,RYD-145的最大吸附量是442.5 mg/g。热力学研究表明,RYD-145分子在ARM-PPy的吸附过程中,焓变(ΔH)和熵变(ΔS)均增加,这表明该过程为吸热过程,且表面RYD-145分子排列具有随机性。研究表明,ARM-PPy具有高效处理阴离子和阳离子染料污染废水的能力,且具有较好的成本效益。

关键词：吸附染料赤泥活性黄染料-145 聚吡咯

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Application of GIS for the identification and demarcation of selective heavy metal concentrations in the urban groundwater

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Journal of Geographical Sciences 2015年第2期25卷 225-235页

作者： Sobia ASHRAF Farhat ABBAS Muhammad IBRAHIM Umer RASHID Shoaib KHALID hammad Raza AHMAD Khalid Rehman HAKEEM Tahir majeed Department of Environmental Sciences and Engineering Government College University Faisalabad (38000) Pakistan Institute of Advanced Technology Universiti Putra Malaysia UPM Serdang 43400 Selangor Malaysia Department of Geography Government College University Faisalabad 38000 Pakistan institute of Soil & Environmental Sciences University of Agriculture Faisalabad 38040 Pakistan Faculty of Forestry University of Putra Malaysia Serdang 43400 Selangor Malaysia Institute of Soil Chemistry and Environmental Sciences Ayub Agricultural Research Institute (AARI) Jhang Road Faisalabad

Groundwater is the most appropriate and widely used source of drinking water, which is increasingly threatened by pollution from industrial and agricultural activities. To check the severity of the problem, 156 groundwater samples were collected from various depths （60-110 ft） of 52 different localities in Faisalabad city, the third largest metropolis in Pakistan, and analyzed for the metals （Zn, Cu, Cd, Ni, Pb, Mn and Fe） concentration in 2009. Quantification was done by using Flame Atomic Absorption Spectrophotometer technique and the results were compared with WHO standards for drinking water quality. Results showed that the levels of Cu, Mn and Fe were below the WHO standards while the concentrations of Zn, Cd, Ni and Pb were above the recommended levels of safe drinking water. Correlation analysis among the occurrence of these heavy metals revealed a highly significant and positive correlation of Mn with Zn and Fe. A significant and positive correlation of Cd was also found with Cu and groundwater depth showing that there is strong association between Cu-Cd pair and that the Cd concentration varies with depth of groundwater in the study area. Regional patterns of heavy metals occurrence were mapped using Geographical Information System （GIS） for the identification and demarcation of risk areas. The concentration maps may be used by policymakers of the city to mitigate groundwater pollution.

关键词： heavy metals groundwater contamination Faisalabad pollution mitigation

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