Corrigendum: “machine learning for clinical decision support in infectious diseases: a narrative review of current applications” (Clinical Microbiology and Infection (2020) 26(5) (584–595), (S1198743X1930494X), (10.1016/j.cmi.2019.09.009));Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

Clinical Microbiology and Infection

Volumn 26, Issue 5, 2020, Pages 584-595

  Peiffer Smadja, N ^a,b   Rawson, T M ^a   Ahmad, R ^a   Buchard, A ^c   Pantelis, G ^d   Lescure, F X ^b,e   Birgand, G ^a   Holmes, A H ^a  

^a The National Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections at University College London in partnership with UK Health Security Agency   (United Kingdom)

^b INSERM   (France)

^c Babylon Health   (United Kingdom)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e BICHAT HOSPITAL   (France)

Author keywords

Artificial intelligence; Clinical decision support system; Infectious diseases; Information technology; Machine learning

Indexed keywords

ANTIINFECTIVE AGENT;

ANTIBIOTIC RESISTANCE; ANTIMICROBIAL STEWARDSHIP; ANTIRETROVIRAL THERAPY; BACTERIAL INFECTION; CLINICAL DECISION SUPPORT SYSTEM; CLINICIAN; DISEASE CLASSIFICATION; EARLY DIAGNOSIS; EMERGENCY WARD; HUMAN; INFECTION; INTENSIVE CARE UNIT; MACHINE LEARNING; OUTCOME ASSESSMENT; PRACTICE GUIDELINE; PREDICTIVE VALUE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; REVIEW; SENSITIVITY AND SPECIFICITY; SEPSIS; SURGICAL WARD; TREATMENT RESPONSE; TUBERCULOSIS; VIRUS INFECTION; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; CLINICAL DECISION MAKING; COMMUNICABLE DISEASE;

ANTI-INFECTIVE AGENTS; ARTIFICIAL INTELLIGENCE; CLINICAL DECISION-MAKING; COMMUNICABLE DISEASES; DECISION SUPPORT SYSTEMS, CLINICAL; EARLY DIAGNOSIS; HUMANS; MACHINE LEARNING; PATIENT OUTCOME ASSESSMENT; SEPSIS;

EID: 85073072056     PISSN: 1198743X     EISSN: 14690691     Source Type: Journal    
DOI: 10.1016/j.cmi.2020.05.020     Document Type: Erratum

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