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Patient-drug-disease (PDD) Graph dataset, utilising Electronic medical records (EMRS) and biomedical Knowledge graphs. The novel framework to construct the PDD graph is described in the associated publication.PDD is an RDF graph consisting of PDD facts, where a PDD fact is represented by an RDF triple to indicate that a patient takes a drug or a patient is diagnosed with a disease. For instance, (pdd:274671, pdd:diagnosed, sepsis)Data files are in .nt N-Triple format, a line-based syntax for an RDF graph. These can be accessed via openly-available text edit software.diagnose_icd_information.nt - contains RDF triples mapping patients to diagnoses. For example:(pdd:18740, pdd:diagnosed, icd99592),where pdd:18740 is a patient entity, and icd99592 is the ICD-9 code of sepsis.drug_patients.nt- contains RDF triples mapping patients to drugs. For example:(pdd:18740, pdd:prescribed, aspirin),where pdd:18740 is a patient entity, and aspirin is the drug's name.Background:Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge. Faced with patients' symptoms, experienced caregivers make the right medical decisions based on their professional knowledge, which accurately grasps relationships between symptoms, diagnoses and corresponding treatments. In the associated paper, we aim to capture these relationships by constructing a large and high-quality heterogenous graph linking patients, diseases, and drugs (PDD) in EMRs. Specifically, we propose a novel framework to extract important medical entities from MIMIC-III (Medical Information Mart for Intensive Care III) and automatically link them with the existing biomedical knowledge graphs, including ICD-9 ontology and DrugBank. The PDD graph presented in this paper is accessible on the Web via the SPARQL endpoint as well as in .nt format in this repository, and provides a pathway for medical discovery and applications, such as effective treatment recommendations.De-identificationIt is necessary to mention that MIMIC-III contains clinical information of patients. Although the protected health information was de-identifed, researchers who seek to use more clinical data should complete an on-line training course and then apply for the permission to download the complete MIMIC-III dataset: https://mimic.physionet.org/
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Switzerland Exports of maps, hydrographic or similar charts (printed) to Jordan was US$10 during 2019, according to the United Nations COMTRADE database on international trade. Switzerland Exports of maps, hydrographic or similar charts (printed) to Jordan - data, historical chart and statistics - was last updated on July of 2025.
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Romania Exports of maps, hydrographic or similar charts (printed) to Poland was US$10 during 2024, according to the United Nations COMTRADE database on international trade. Romania Exports of maps, hydrographic or similar charts (printed) to Poland - data, historical chart and statistics - was last updated on July of 2025.
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Jordan: PISA science scores: The latest value from 2022 is 374.527 index points, a decline from 429.252 index points in 2018. In comparison, the world average is 449.005 index points, based on data from 78 countries. Historically, the average for Jordan from 2006 to 2022 is 409.863 index points. The minimum value, 374.527 index points, was reached in 2022 while the maximum of 429.252 index points was recorded in 2018.
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The Ivory Coast: Value added in the services sector as percent of GDP: The latest value from 2024 is 53.87 percent, an increase from 52.7 percent in 2023. In comparison, the world average is 55.77 percent, based on data from 151 countries. Historically, the average for the Ivory Coast from 1960 to 2024 is 46.67 percent. The minimum value, 34.01 percent, was reached in 2011 while the maximum of 60.58 percent was recorded in 1977.
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Switzerland Exports of maps, hydrographic or similar charts (printed) to Uzbekistan was US$5.99 Thousand during 2013, according to the United Nations COMTRADE database on international trade. Switzerland Exports of maps, hydrographic or similar charts (printed) to Uzbekistan - data, historical chart and statistics - was last updated on July of 2025.
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Somalia: Livestock production index (2004-2006 = 100): The latest value from 2022 is 98.6 index points, a decline from 99.7 index points in 2021. In comparison, the world average is 112.3 index points, based on data from 188 countries. Historically, the average for Somalia from 1961 to 2022 is 86.5 index points. The minimum value, 47.8 index points, was reached in 1961 while the maximum of 110.2 index points was recorded in 2013.
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Zambia: Fertilizer use, kg per hectare of arable land: The latest value from 2022 is 64.6 kg per hectare of arable land, an increase from 63.9 kg per hectare of arable land in 2021. In comparison, the world average is 133.2 kg per hectare of arable land, based on data from 182 countries. Historically, the average for Zambia from 1961 to 2022 is 28 kg per hectare of arable land. The minimum value, 3.3 kg per hectare of arable land, was reached in 1962 while the maximum of 79.8 kg per hectare of arable land was recorded in 2020.
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Latvia Imports from Greece of Maps, Hydrographic or Similar Charts (Printed) was US$423 during 2023, according to the United Nations COMTRADE database on international trade. Latvia Imports from Greece of Maps, Hydrographic or Similar Charts (Printed) - data, historical chart and statistics - was last updated on July of 2025.
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Hungary: Rural population, percent of total population: The latest value from 2023 is 27.14 percent, a decline from 27.45 percent in 2022. In comparison, the world average is 38.64 percent, based on data from 196 countries. Historically, the average for Hungary from 1960 to 2023 is 35.05 percent. The minimum value, 27.14 percent, was reached in 2023 while the maximum of 44.09 percent was recorded in 1960.
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Germany: Gross Domestic Product, billions of U.S. dollars: The latest value from 2024 is 4659.93 billion U.S. dollars, an increase from 4525.7 billion U.S. dollars in 2023. In comparison, the world average is 612.35 billion U.S. dollars, based on data from 176 countries. Historically, the average for Germany from 1960 to 2024 is 1924.88 billion U.S. dollars. The minimum value, 84.62 billion U.S. dollars, was reached in 1960 while the maximum of 4659.93 billion U.S. dollars was recorded in 2024.
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Sudan: Female labor force participation rate: The latest value from 2023 is 27.87 percent, a decline from 28.67 percent in 2022. In comparison, the world average is 51.07 percent, based on data from 178 countries. Historically, the average for Sudan from 1991 to 2023 is 28.26 percent. The minimum value, 24.5 percent, was reached in 1991 while the maximum of 29.11 percent was recorded in 1996.
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The Czechia: Terms of trade, base year = 2000: The latest value from 2021 is 98.85 percent, a decline from 100.8 percent in 2020. In comparison, the world average is 109.62 percent, based on data from 189 countries. Historically, the average for the Czechia from 2000 to 2021 is 100.86 percent. The minimum value, 97.3 percent, was reached in 2000 while the maximum of 105.8 percent was recorded in 2004.
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Tunisia: Gross Domestic Product, billions of U.S. dollars: The latest value from 2024 is 53.41 billion U.S. dollars, an increase from 48.2 billion U.S. dollars in 2023. In comparison, the world average is 612.35 billion U.S. dollars, based on data from 176 countries. Historically, the average for Tunisia from 1961 to 2024 is 20.69 billion U.S. dollars. The minimum value, 0.87 billion U.S. dollars, was reached in 1961 while the maximum of 53.41 billion U.S. dollars was recorded in 2024.
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Dominican Republic: Hospital beds: The latest value from is hospital beds, unavailable from hospital beds in . In comparison, the world average is 0 hospital beds, based on data from countries. Historically, the average for Dominican Republic from to is hospital beds. The minimum value, hospital beds, was reached in while the maximum of hospital beds was recorded in .
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Ukraine: GDP per hour worked, index relative to the U.S.: The latest value from is index points, unavailable from index points in . In comparison, the world average is 0.00 index points, based on data from countries. Historically, the average for Ukraine from to is index points. The minimum value, index points, was reached in while the maximum of index points was recorded in .
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Switzerland Imports from Iran of Maps, Hydrographic or Similar Charts (Printed) was US$685 during 2015, according to the United Nations COMTRADE database on international trade. Switzerland Imports from Iran of Maps, Hydrographic or Similar Charts (Printed) - data, historical chart and statistics - was last updated on July of 2025.
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The USA: Hospital beds per 1,000 people: The latest value from 2019 is 2.8 hospital beds, a decline from 2.83 hospital beds in 2018. In comparison, the world average is 4.53 hospital beds, based on data from 39 countries. Historically, the average for the USA from 1960 to 2019 is 4.73 hospital beds. The minimum value, 2.77 hospital beds, was reached in 2016 while the maximum of 9.18 hospital beds was recorded in 1960.
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Thailand Exports of maps, hydrographic or similar charts (printed) to Lithuania was US$255 during 2020, according to the United Nations COMTRADE database on international trade. Thailand Exports of maps, hydrographic or similar charts (printed) to Lithuania - data, historical chart and statistics - was last updated on August of 2025.
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Dominican Republic: Population ages 0-14, percent of total: The latest value from 2023 is 26.91 percent, a decline from 27.19 percent in 2022. In comparison, the world average is 26.10 percent, based on data from 196 countries. Historically, the average for Dominican Republic from 1960 to 2023 is 38.66 percent. The minimum value, 26.91 percent, was reached in 2023 while the maximum of 49.39 percent was recorded in 1965.
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Patient-drug-disease (PDD) Graph dataset, utilising Electronic medical records (EMRS) and biomedical Knowledge graphs. The novel framework to construct the PDD graph is described in the associated publication.PDD is an RDF graph consisting of PDD facts, where a PDD fact is represented by an RDF triple to indicate that a patient takes a drug or a patient is diagnosed with a disease. For instance, (pdd:274671, pdd:diagnosed, sepsis)Data files are in .nt N-Triple format, a line-based syntax for an RDF graph. These can be accessed via openly-available text edit software.diagnose_icd_information.nt - contains RDF triples mapping patients to diagnoses. For example:(pdd:18740, pdd:diagnosed, icd99592),where pdd:18740 is a patient entity, and icd99592 is the ICD-9 code of sepsis.drug_patients.nt- contains RDF triples mapping patients to drugs. For example:(pdd:18740, pdd:prescribed, aspirin),where pdd:18740 is a patient entity, and aspirin is the drug's name.Background:Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge. Faced with patients' symptoms, experienced caregivers make the right medical decisions based on their professional knowledge, which accurately grasps relationships between symptoms, diagnoses and corresponding treatments. In the associated paper, we aim to capture these relationships by constructing a large and high-quality heterogenous graph linking patients, diseases, and drugs (PDD) in EMRs. Specifically, we propose a novel framework to extract important medical entities from MIMIC-III (Medical Information Mart for Intensive Care III) and automatically link them with the existing biomedical knowledge graphs, including ICD-9 ontology and DrugBank. The PDD graph presented in this paper is accessible on the Web via the SPARQL endpoint as well as in .nt format in this repository, and provides a pathway for medical discovery and applications, such as effective treatment recommendations.De-identificationIt is necessary to mention that MIMIC-III contains clinical information of patients. Although the protected health information was de-identifed, researchers who seek to use more clinical data should complete an on-line training course and then apply for the permission to download the complete MIMIC-III dataset: https://mimic.physionet.org/