Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

By Amir Safavi | November 9, 2019 |

Link: https://doi.org/S0085-2538(19)31116-0 Authors: Chan, Lili; Beers, Kelly; Yau, Amy A; Chauhan, Kinsuk; Duffy, Áine; Chaudhary, Kumardeep; Debnath, Neha; Saha, Aparna; Pattharanitima, Pattharawin; Cho, Judy; Kotanko, Peter; Federman, Alex; Coca, Steven G; Van Vleck, Tielman; Nadkarni, Girish N Abstract: Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New informatics approaches including natural…

Read More

Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine.

By Amir Safavi | May 16, 2019 |

Link: https://doi.org/10.2196/13260 Authors: Wang, Xiaofang; Zhang, Yan; Hao, Shiying; Zheng, Le; Liao, Jiayu; Ye, Chengyin; Xia, Minjie; Wang, Oliver; Liu, Modi; Weng, Ching Ho; Duong, Son Q; Jin, Bo; Alfreds, Shaun T; Stearns, Frank; Kanov, Laura; Sylvester, Karl G; Widen, Eric; McElhinney, Doff B; Ling, Xuefeng B Abstract: Lung cancer is the leading cause of…

Read More

Patient Adipose Stem Cell-Derived Adipocytes Reveal Genetic Variation that Predicts Antidiabetic Drug Response.

By Amir Safavi | January 10, 2019 |

Link: https://doi.org/S1934-5909(18)30554-X Authors: Hu, Wenxiang; Jiang, Chunjie; Guan, Dongyin; Dierickx, Pieterjan; Zhang, Rong; Moscati, Arden; Nadkarni, Girish N; Steger, David J; Loos, Ruth J F; Hu, Cheng; Jia, Weiping; Soccio, Raymond E; Lazar, Mitchell A Abstract: Thiazolidinedione drugs (TZDs) target the transcriptional activity of peroxisome proliferator activated receptor γ (PPARγ) to reverse insulin resistance in…

Read More