Mengjia Kang

Northwestern University — United States

Medicine · Health Sciences

8h-index1.9kcitations53works1.42yr avg
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Research Topics

Pneumonia and Respiratory Infections(15), Nosocomial Infections in ICU(13), Antibiotics Pharmacokinetics and Efficacy(8), Machine Learning in Healthcare(6), Sepsis Diagnosis and Treatment(5)

Publications51 total

Developing and externally validating machine learning models to forecast short-term risk of ventilator-associated pneumonia
2026Open Access
Pharmacokinetic-pharmacodynamic target attainment with continuous infusion piperacillin in patients admitted to the ICU with hospital-acquired pneumonia
Antimicrobial Agents and Chemotherapy·2025Open Access
Critical threshold target attainment rates for tazobactam combined with piperacillin among patients admitted to the ICU with hospital-acquired pneumonia
Antimicrobial Agents and Chemotherapy·2025· 1 citedOpen Access
Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression
Cell Host & Microbe·2025
HTA370 Why Current HTA Frameworks Fall Short for Anti-Cancer Combination Therapies: Toward Equitable Value Attribution and Policy Reform
Value in Health·2025
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia
CHEST Critical Care·2025Open Access
MACHINE LEARNING FOR EARLY PREDICTION OF HOSPITAL-ACQUIRED PNEUMONIA TREATMENT OUTCOMES IN CRITICALLY ILL PATIENTS
CHEST Journal·2025
Large language models accurately identify immunosuppression in intensive care unit patients
Journal of the American Medical Informatics Association·2025· 1 citedOpen Access
Developing and validating machine learning models to predict next-day extubation
Scientific Reports·2025· 2 citedOpen Access
Development of a pilot machine learning model to predict successful cure in critically ill patients with community-acquired pneumonia
2025Open Access
Novel enzyme-based reduced representation method for DNA methylation profiling with low inputs
Nucleic Acids Research·2025· 1 citedOpen Access
Individual target pharmacokinetic/pharmacodynamic attainment rates among cefepime-treated patients admitted to the ICU with hospital-acquired pneumonia with and without ECMO
Antimicrobial Agents and Chemotherapy·2025· 1 citedOpen Access
Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage results
European Journal of Clinical Microbiology & Infectious Diseases·2025· 7 citedOpen Access
Identifying Immunosuppressive Medication Use From Clinical Notes Using GPT-4o
American Journal of Respiratory and Critical Care Medicine·2025
Machine Learning to Predict the Onset of Ventilator-associated Pneumonia Using Electronic Health Record Data
American Journal of Respiratory and Critical Care Medicine·2025· 1 cited
Win Ratio Analysis of Pseudomonas Aeruginosa Hospital-acquired/Ventilator-associated Pneumonia Outcomes Comparing Initial Beta-Lactam Therapies
American Journal of Respiratory and Critical Care Medicine·2025
Machine Learning to Predict Successful Cure in Critically Ill Community-Acquired Pneumonia Patients
American Journal of Respiratory and Critical Care Medicine·2025
An Observational Cohort Study of Bronchoalveolar Lavage Fluid Galactomannan and <i>Aspergillus</i> Culture Positivity in Patients Requiring Mechanical Ventilation
Open Forum Infectious Diseases·2025Open Access
P-1224. Individual Target Pharmacokinetic/Pharmacodynamic Attainment Rates among Cefepime-treated Patients Admitted to the ICU with Hospital-Acquired Pneumonia with and without ECMO
Open Forum Infectious Diseases·2025Open Access
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients
2025· 3 citedOpen Access
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Frequent Co-authors

Richard G. Wunderink(31), Benjamin D. Singer(28), Catherine A. Gao(28), Luke V. Rasmussen(28), Alexander V. Misharin(25), Anna Pawlowski(24), Nikolay S. Markov(23), G. R. Scott Budinger(22), Chiagozie I. Pickens(21), Helen K. Donnelly(20), James M. Walter(17), Prasanth Nannapaneni(17), Rogan A. Grant(13), Ankit Agrawal(13), Luisa Morales‐Nebreda(12), Daniel Schneider(11), Hiam Abdala‐Valencia(11), Justin Starren(11), Alec Peltekian(11), Chao Qi(10)