Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis

We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosis of acute infections and sepsis in emergency departments. Our solution consists of a Myrna (TM) Instrument and embedded TriVerity (TM) classifiers. The instrument measures abundances of 29 messenger RN...

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Hauptverfasser:	Buturovic, Ljubomir, Mayhew, Michael, Luethy, Roland, Choi, Kirindi, Midic, Uros, Damaraju, Nandita, Hasin-Brumshtein, Yehudit, Pratap, Amitesh, Adams, Rhys M, Fonseca, Joao, Srinath, Ambika, Fleming, Paul, Pereira, Claudia, Liesenfeld, Oliver, Khatri, Purvesh, Sweeney, Timothy
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Quantitative Biology - Quantitative Methods
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