Jin-ah Sim to Patient Reported Outcome Measures
This is a "connection" page, showing publications Jin-ah Sim has written about Patient Reported Outcome Measures.
Connection Strength
1.068
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Sim JA, Huang X, Horan MR, Baker JN, Huang IC. Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review. Expert Rev Pharmacoecon Outcomes Res. 2024 Apr; 24(4):467-475.
Score: 0.747
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Sim JA, Kim YA, Kim JH, Lee JM, Kim MS, Shim YM, Zo JI, Yun YH. The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning. Sci Rep. 2020 07 01; 10(1):10693.
Score: 0.145
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Sim JA, Yun YH. Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT). Stud Health Technol Inform. 2019 Aug 21; 264:1588-1589.
Score: 0.136
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Lu Z, Sim JA, Wang JX, Forrest CB, Krull KR, Srivastava D, Hudson MM, Robison LL, Baker JN, Huang IC. Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study. J Med Internet Res. 2021 11 03; 23(11):e26777.
Score: 0.040