166 related articles for article (PubMed ID: 35639380)
1. Prospective Comparison of Medical Oncologists and a Machine Learning Model to Predict 3-Month Mortality in Patients With Metastatic Solid Tumors.
Zachariah FJ; Rossi LA; Roberts LM; Bosserman LD
JAMA Netw Open; 2022 May; 5(5):e2214514. PubMed ID: 35639380
[TBL] [Abstract][Full Text] [Related]
2. Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer.
Manz CR; Chen J; Liu M; Chivers C; Regli SH; Braun J; Draugelis M; Hanson CW; Shulman LN; Schuchter LM; O'Connor N; Bekelman JE; Patel MS; Parikh RB
JAMA Oncol; 2020 Nov; 6(11):1723-1730. PubMed ID: 32970131
[TBL] [Abstract][Full Text] [Related]
3. Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.
Parikh RB; Manz C; Chivers C; Regli SH; Braun J; Draugelis ME; Schuchter LM; Shulman LN; Navathe AS; Patel MS; O'Connor NR
JAMA Netw Open; 2019 Oct; 2(10):e1915997. PubMed ID: 31651973
[TBL] [Abstract][Full Text] [Related]
4. Association of Emergency Clinicians' Assessment of Mortality Risk With Actual 1-Month Mortality Among Older Adults Admitted to the Hospital.
Ouchi K; Strout T; Haydar S; Baker O; Wang W; Bernacki R; Sudore R; Schuur JD; Schonberg MA; Block SD; Tulsky JA
JAMA Netw Open; 2019 Sep; 2(9):e1911139. PubMed ID: 31517962
[TBL] [Abstract][Full Text] [Related]
5. Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.
Brajer N; Cozzi B; Gao M; Nichols M; Revoir M; Balu S; Futoma J; Bae J; Setji N; Hernandez A; Sendak M
JAMA Netw Open; 2020 Feb; 3(2):e1920733. PubMed ID: 32031645
[TBL] [Abstract][Full Text] [Related]
6. Association of Oncologist-Patient Communication With Functional Status and Physical Performance in Older Adults: A Secondary Analysis of a Cluster Randomized Clinical Trial.
Jensen-Battaglia M; Lei L; Xu H; Kehoe L; Patil A; Loh KP; Ramsdale E; Magnuson A; Kleckner AS; Wildes TM; Lin PJ; Mustian KM; Giri G; Whitehead M; Bearden J; Burnette BL; Geer J; Mohile SG; Dunne RF
JAMA Netw Open; 2022 Mar; 5(3):e223039. PubMed ID: 35302628
[TBL] [Abstract][Full Text] [Related]
7. Predicting chemotherapy toxicity in older adults: Comparing the predictive value of the CARG Toxicity Score with oncologists' estimates of toxicity based on clinical judgement.
Moth EB; Kiely BE; Stefanic N; Naganathan V; Martin A; Grimison P; Stockler MR; Beale P; Blinman P
J Geriatr Oncol; 2019 Mar; 10(2):202-209. PubMed ID: 30224184
[TBL] [Abstract][Full Text] [Related]
8. Development of a Clinical Prediction Model for 1-Year Mortality in Patients With Advanced Cancer.
Owusuaa C; van der Padt-Pruijsten A; Drooger JC; Heijns JB; Dietvorst AM; Janssens-van Vliet ECJ; Nieboer D; Aerts JGJV; van der Heide A; van der Rijt CCD
JAMA Netw Open; 2022 Nov; 5(11):e2244350. PubMed ID: 36449290
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Machine Learning Model to Identify Patients Before Surgery at High Risk for Postoperative Adverse Events.
Mahajan A; Esper S; Oo TH; McKibben J; Garver M; Artman J; Klahre C; Ryan J; Sadhasivam S; Holder-Murray J; Marroquin OC
JAMA Netw Open; 2023 Jul; 6(7):e2322285. PubMed ID: 37418262
[TBL] [Abstract][Full Text] [Related]
10. Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial.
Li E; Manz C; Liu M; Chen J; Chivers C; Braun J; Schuchter LM; Kumar P; Patel MS; Shulman LN; Parikh RB
PLoS One; 2022; 17(5):e0267012. PubMed ID: 35622812
[TBL] [Abstract][Full Text] [Related]
11. Association of Oncologist Participation in Medicare's Oncology Care Model With Patient Receipt of Novel Cancer Therapies.
Manz CR; Tramontano AC; Uno H; Parikh RB; Bekelman JE; Schrag D
JAMA Netw Open; 2022 Sep; 5(9):e2234161. PubMed ID: 36173630
[TBL] [Abstract][Full Text] [Related]
12. Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
Lee C; Light A; Alaa A; Thurtle D; van der Schaar M; Gnanapragasam VJ
Lancet Digit Health; 2021 Mar; 3(3):e158-e165. PubMed ID: 33549512
[TBL] [Abstract][Full Text] [Related]
13. Determinants of Patient-Oncologist Prognostic Discordance in Advanced Cancer.
Gramling R; Fiscella K; Xing G; Hoerger M; Duberstein P; Plumb S; Mohile S; Fenton JJ; Tancredi DJ; Kravitz RL; Epstein RM
JAMA Oncol; 2016 Nov; 2(11):1421-1426. PubMed ID: 27415765
[TBL] [Abstract][Full Text] [Related]
14. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.
Ren Y; Loftus TJ; Datta S; Ruppert MM; Guan Z; Miao S; Shickel B; Feng Z; Giordano C; Upchurch GR; Rashidi P; Ozrazgat-Baslanti T; Bihorac A
JAMA Netw Open; 2022 May; 5(5):e2211973. PubMed ID: 35576007
[TBL] [Abstract][Full Text] [Related]
15. Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy.
Elfiky AA; Pany MJ; Parikh RB; Obermeyer Z
JAMA Netw Open; 2018 Jul; 1(3):e180926. PubMed ID: 30646043
[TBL] [Abstract][Full Text] [Related]
16. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
Herrin J; Abraham NS; Yao X; Noseworthy PA; Inselman J; Shah ND; Ngufor C
JAMA Netw Open; 2021 May; 4(5):e2110703. PubMed ID: 34019087
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer.
Po-Yen Lin F; Salih OSM; Scott N; Jameson MB; Epstein RJ
JCO Clin Cancer Inform; 2022 Oct; 6():e2200064. PubMed ID: 36265112
[TBL] [Abstract][Full Text] [Related]
18. Generalists and oncologists show similar care practices and outcomes for hospitalized late-stage cancer patients. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks for Treatment.
Rose JH; O'Toole EE; Dawson NV; Thomas C; Connors AF; Wenger N; Phillips RS; Hamel MB; Reding DT; Cohen HJ; Lynn J
Med Care; 2000 Nov; 38(11):1103-18. PubMed ID: 11078051
[TBL] [Abstract][Full Text] [Related]
19. Surprise Questions for Survival Prediction in Patients With Advanced Cancer: A Multicenter Prospective Cohort Study.
Hamano J; Morita T; Inoue S; Ikenaga M; Matsumoto Y; Sekine R; Yamaguchi T; Hirohashi T; Tajima T; Tatara R; Watanabe H; Otani H; Takigawa C; Matsuda Y; Nagaoka H; Mori M; Yamamoto N; Shimizu M; Sasara T; Kinoshita H
Oncologist; 2015 Jul; 20(7):839-44. PubMed ID: 26054631
[TBL] [Abstract][Full Text] [Related]
20. Automated model versus treating physician for predicting survival time of patients with metastatic cancer.
Gensheimer MF; Aggarwal S; Benson KRK; Carter JN; Henry AS; Wood DJ; Soltys SG; Hancock S; Pollom E; Shah NH; Chang DT
J Am Med Inform Assoc; 2021 Jun; 28(6):1108-1116. PubMed ID: 33313792
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]