Dataset Groups Activity Stream Optimizing Aging Model The dataset used in this study is composed of 1.4 million individuals, with 1.2 billion laboratory test results, covering 47 laboratory-tested human physical components. BibTex: @dataset{Emma_Pierson_and_Pang_Wei_Koh_and_Tatsunori_Hashimoto_and_Daphne_Koller_and_Jure_Leskovec_and_Nicholas_Eriksson_and_Percy_Liang_2024, abstract = {The dataset used in this study is composed of 1.4 million individuals, with 1.2 billion laboratory test results, covering 47 laboratory-tested human physical components.}, author = {Emma Pierson and Pang Wei Koh and Tatsunori Hashimoto and Daphne Koller and Jure Leskovec and Nicholas Eriksson and Percy Liang}, doi = {10.57702/lcm4kgiv}, institution = {No Organization}, keyword = {'aging', 'biological markers', 'machine learning'}, month = {dec}, publisher = {TIB}, title = {Optimizing Aging Model}, url = {https://service.tib.eu/ldmservice/dataset/optimizing-aging-model}, year = {2024} }
