Publications

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Peer-Reviewed Journal Articles

Nikita, N., Tran, T.D., Yang, C.C., …, Lucas, M.M., et al. (2025).
Early unplanned hospitalization risk after novel hormonal therapy initiation in metastatic prostate cancer: Impact of disease type, treatment, and race.
Journal of Geriatric Oncology, 16(8), Supplement, 102504.
(Extended abstract; conference proceedings).
DOI: 10.1016/j.jgo.2025.102504

Lucas, M.M., Schootman, M., Laryea, J.A., et al. (2024).
Bias in prediction models to identify patients with colorectal cancer at high risk for readmission after resection.
JCO Clinical Cancer Informatics, 8, e2300194.
DOI: 10.1200/CCI.23.00194
Lucas, M.M., Yang, J., Pomeroy, J.K., Yang, C.C. (2024).
Reasoning with large language models for medical question answering.
Journal of the American Medical Informatics Association, 31(9), 1964–1975.
DOI: 10.1093/jamia/ocae131
Haller, J.A., Tomaiuolo, M., Lucas, M.M., et al. (2024).
Disparities in retinal vein occlusion presentation and initiation of anti-VEGF therapy.
Ophthalmology Retina, 8(7), 657–665.
DOI: 10.1016/j.oret.2024.01.017

Lucas, M.M., Yang, C.C. (2025).
A collaborative learning approach for fairness in prediction of substance use disorder treatment completion.
AIME 2025, LNCS 15735.
DOI: 10.1007/978-3-031-95841-0_44

Chang, C.-H., Lucas, M.M., Lee, Y., Yang, C.C., Lu-Yao, G. (2024).
Beyond self-consistency: Ensemble reasoning boosts consistency and accuracy of LLMs in cancer staging.
AIME 2024, LNCS 14844.
DOI: 10.1007/978-3-031-66538-7_23
Lucas, M.M., Wang, X., Chang, C.-H., et al. (2024).
An ExplainableFair framework for prediction of substance use disorder treatment completion.
IEEE ICHI 2024, Orlando, FL.
DOI: 10.1109/ICHI61247.2024.00028
Chang, C.-H., Lucas, M.M., Lu-Yao, G., Yang, C.C. (2024).
Classifying cancer stage with open-source clinical large language models.
IEEE ICHI 2024, Orlando, FL.
DOI: 10.1109/ICHI61247.2024.00018
Landry, L., Lucas, M.M., Andy, A., Nwafor, E. (2024).
Artificial intelligence–assisted curation of population groups in biomedical literature.
International Journal of Digital Curation, 18(1).
(Peer-reviewed conference paper published in a journal issue).
DOI: 10.2218/ijdc.v18i1.950

Lucas, M.M., Chang, C.-H., Yang, C.C. (2023).
Resampling for mitigating bias in predictive models for substance use disorder treatment completion.
IEEE ICHI 2023, Houston, TX.
DOI: 10.1109/ICHI57859.2023.00128

Lucas, M.M., Yang, C.C., Schootman, M. (2023).
Investigating health disparities and AI bias in CKD prediction models.
NIH AIM-AHEAD Annual Meeting, Rockville, MD.
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Aras, P., Zhang, G., Lucas, M.M., et al. (2020).
Quality assessment of inpatient medical claim data.
IEEE BIBM 2020.

Sakwa, W., Khanna, K., Mueni, M., et al. (2004).
Four-level approximation in disordered media.
Indian Journal of Pure & Applied Physics, 42(5), 355–360.
Sakwa, W., Khanna, K., Mueni, M., et al. (2004).
Transition temperature for ⁴He liquid adsorbed in disordered media.
Indian Journal of Pure & Applied Physics, 42(5), 351–354.
Mueni, M. (2000).
The performance monitoring of a CPC/PV system at equatorial latitudes.
MPhil Thesis, Moi University, Kenya.