KELSA: A Knowledge-Enriched Local Sequence Alignment Algorithm for Comparing Patient Medical Records

[1]  Maryam Zolnoori,et al.  Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 , 2019, Journal of medical Internet research.

[2]  N. Cox,et al.  Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record , 2017, PloS one.

[3]  Ferran Sanz,et al.  Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study , 2018, Scientific Reports.

[4]  M S Waterman,et al.  Identification of common molecular subsequences. , 1981, Journal of molecular biology.

[5]  Parisa Rashidi,et al.  Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis , 2017, IEEE Journal of Biomedical and Health Informatics.

[6]  D. Lipman,et al.  Rapid and sensitive protein similarity searches. , 1985, Science.

[7]  Chao Xie,et al.  Fast and sensitive protein alignment using DIAMOND , 2014, Nature Methods.

[8]  Hassan Bello,et al.  Residue Number System: An Important Application in Bioinformatics , 2018 .

[9]  Sherry‐Ann Brown Patient Similarity: Emerging Concepts in Systems and Precision Medicine , 2016, Front. Physiol..

[10]  B. Yawn,et al.  American Journal of Epidemiology Practice of Epidemiology Use of a Medical Records Linkage System to Enumerate a Dynamic Population over Time: the Rochester Epidemiology Project , 2022 .

[11]  Maryam Zolnoori,et al.  Temporal sequence alignment in electronic health records for computable patient representation , 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

[12]  Hyeon-Eui Kim,et al.  Deep mining heterogeneous networks of biomedical linked data to predict novel drug‐target associations , 2017, Bioinform..

[13]  Ke Chen,et al.  Pairwise alignment for very long nucleic acid sequences. , 2018, Biochemical and biophysical research communications.

[14]  Fei Wang,et al.  An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease , 2017, SDM.

[15]  Ming Huang,et al.  Evaluating global and local sequence alignment methods for comparing patient medical records , 2019, BMC Medical Informatics Decis. Mak..

[16]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[17]  Scott M. Brue,et al.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system. , 2012, International journal of epidemiology.

[18]  S. B. Needleman,et al.  A general method applicable to the search for similarities in the amino acid sequence of two proteins. , 1970, Journal of molecular biology.

[19]  Scott M. Brue,et al.  Data Resource Profile: Expansion of the Rochester Epidemiology Project medical records-linkage system (E-REP). , 2018, International journal of epidemiology.

[20]  Maryam Zolnoori,et al.  Public Opinions Toward Diseases: Infodemiological Study on News Media Data , 2018, Journal of medical Internet research.