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Subjects: pulmonary hypertension; electrocardiogram; sub-Saharan Africa
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Source:
Balieva , I , Dzudie , A , Thienemann , F , Mocumbi , A O , Karaye , K , Sani , M U , Ogah , O S , Voors , A A , Kengne , A P & Sliwa , K 2017 , ' Prevalence and predictive value of
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Subjects: Lung cancer; Chronic obstructive pulmonary disease; Cardiovascular disease
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Source:
Du , Y , Lin , Q , Sidorenkov , G , Vonder , M , Cai , J , de Bock , G H , Guan , Y , Xia , Y , Zhou , X , Zhang , D , Rook , M , Vliegenthart , R , Heuvelmans , M , Dorrius , M , Ooijen, van , P ,
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Source:
Hubacek , K , Shan , Y & Chen , S 2023 , APPROACHES AND SYSTEM BOUNDARIES FOR URBAN CARBON ACCOUNTS . in The Routledge Handbook of Embodied Carbon in the Built
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Subjects: diet; fecal microbiota transplantation; non-communicable diseases
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Source:
Huang , Z , Li , Y , Park , H , Ho , M , Bhardwaj , K , Sugimura , N , Lee , H W , Meng , H , Ebert , M P , Chao , K , Burgermeister , E , Bhatt , A P , Shetty , S A , Li , K , Wen , W & Zuo , T 2023
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Subjects: COVID-19 cases; Healthcare systems; Machine learning
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Source:
Hashim , S , Farooq , S , Syriopoulos , E , Cremer , K D L L , Vogt , A , de Jong , N , Aguado , V L , Popescu , M , Mohamed , A K & Amin , M 2022 , ' Machine Learning Model for Predicting Number of
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Subjects: earth sciences; environmental science; urban planning
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Source:
Zhang , Y , Li , X , Wang , S , Yao , Y , Li , Q , Tu , W , Zhao , H , Zhao , H , Feng , K , Sun , L & Hubacek , K 2021 , ' A global North-South division line for portraying
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Subjects: clinicians; Exercise is Medicine initiative; physical activity
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Source:
Krops , L A , Bouma , A J , Van Nassau , F , Nauta , J , van den Akker-Scheek , I , Bossers , W J , Brügemann , J , Buffart , L M , Diercks , R L , De Groot , V , De Jong , J , Kampshoff , C S , Van
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Subjects: LAND-USE CHANGE; ECOSYSTEM SERVICE; CELLULAR-AUTOMATA
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Source:
Liu , X , Wang , S , Wu , P , Feng , K , Hubacek , K , Li , X & Sun , L 2019 , ' Impacts of Urban Expansion on Terrestrial Carbon Storage in China ' , Environmental
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