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Incorporation of Personal Single Nucleotide Polymorphism (SNP) Data into a National Level Electronic Health Record for Disease Risk Assessment, Part 3: An Evaluation of SNP Incorporated National Health Information System of Turkey for Prostate Cancer

Incorporation of Personal Single Nucleotide Polymorphism (SNP) Data into a National Level Electronic Health Record for Disease Risk Assessment, Part 3: An Evaluation of SNP Incorporated National Health Information System of Turkey for Prostate Cancer

These probabilistic models are based on the works of Yücebaş and Aydın Son to assess prostate cancer risk, and were developed through a hybrid approach combining support vector machine (SVM) and Iterative Dichotomiser 3 (ID3) decision tree (DT) based on “A

Timur Beyan, Yeşim Aydın Son

JMIR Med Inform 2014;2(2):e21


Perceptions of the Feasibility and Practicalities of Text Messaging-Based Infectious Disease Surveillance: A Questionnaire Survey

Perceptions of the Feasibility and Practicalities of Text Messaging-Based Infectious Disease Surveillance: A Questionnaire Survey

The first trial was carried out in a total of 20 communes from four districts: Hung Yen city and Yen My district in Hung Yen province, and Hoa Binh city and Ky Son district in Hoa Binh province, 5 communes each.

Linh Thuy Dang, Nguyen Cong Vu, Thiem Dinh Vu, Spencer L James, Peter Katona, Lindsay Katona, Joseph M Rosen, Cuong Kieu Nguyen

JMIR Mhealth Uhealth 2016;4(2):e65


Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

In their annotations, the first-degree relatives, which include 8 types of family members (ie, Father, Mother, Parent, Sister, Brother, Daughter, Son, and Child), do not have the value of the family side property (refer to the tags ending with “NA” in Table

Hong-Jie Dai, You-Qian Lee, Chandini Nekkantti, Jitendra Jonnagaddala

JMIR Med Inform 2020;8(12):e21750