Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

Autor: Norris, S, Abbott, SE, Abubakar, A, Acedo, J, Ahmed, I, Al-Aamri, F, Al-Abduwani, J, Al-Abri, J, Alam, D, Albernaz, E, Algren, H, Al-Habsi, F, Alija, M, Al-Jabri, H, Al-Lawatiya, H, Al-Rashidiya, B, Altman, DG, Al-Zadjali, WK, Andersen, HF, Aranzeta, L, Ash, S, Baricco, M, Barros, FC, Barsosio, H, Batiuk, C, Batra, M, Berkley, J, Bertino, E, Bhan, MK, Bhat, BA, Bhutta, ZA, Blakey, I, Bornemeier, S, Bradman, A, Buckle, M, Burnham, O, Burton, F, Capp, A, Cararra, VI, Carew, R, Carrara, VI, Carter, AA, Carvalho, M, Chamberlain, P, Cheikh, Ismail L, Cheikh Ismail, L, Choudhary, A, Choudhary, S, Chumlea, WC, Condon, C, Corra, LA, Cosgrove, C, Craik, R, da Silveira, MF, Danelon, D, de Wet, T, de Leon, E, Deshmukh, S, Deutsch, G, Dhami, J, Di, Nicola P, Dighe, M, Dolk, H, Domingues, M, Dongaonkar, D, Enquobahrie, D, Eskenazi, B, Farhi, F, Fernandes, M, Finkton, D, Fonseca, S, Frederick, IO, Frigerio, M, Gaglioti, P, Garza, C, Gilli, G, Gilli, P, Giolito, M, Giuliani, F, Golding, J, Gravett, MG, Gu, SH, Guman, Y, He, YP, Hoch, L, Hussein, S, Ibanez, D, Ioannou, C, Jacinta, N, Jackson, N, Jaffer, YA, Jaiswal, S, Jimenez-Bustos, JM, Juangco, FR, Juodvirsiene, L, Katz, M, Kemp, B, Kennedy, S, Ketkar, M, Khedikar, V, Kihara, M, Kilonzo, J, Kisiang'ani, C, Kizidio, J, Knight, CL, Knight, HE, Kunnawar, N, Laister, A, Lambert, A, Langer, A, Lephoto, T, Leston, A, Lewis, T, Liu, H, Lloyd, S, Lumbiganon, P, Macauley, S, Maggiora, E, Mahorkar, C, Mainwaring, M, Malgas, L, Matijasevich, A, McCormick, K, McGready, R, Miller, R, Min, A, Mitidieri, A, Mkrtychyan, V, Monyepote, B, Mota, D, Mulik, I, Munim, S, Muninzwa, D, Musee, N, Mwakio, S, Mwangudzah, H, Napolitano, R, Newton, CR, Ngami, V, Noble, JA, Norris, T, Nosten, F, Oas, K, Oberto, M, Occhi, L, Ochieng, R, Ohuma, EO, Olearo, E, Olivera, I, Owende, MG, Pace, C, Pan, Y, Pang, RY, Papageorghiou, AT, Patel, B, Paul, V, Paulsene, W, Puglia, F, Purwar, M, Rajan, V, Raza, A, Reade, D, Rivera, J, Rocco, DA, Roseman, F, Roseman, S, Rossi, C, Rothwell, PM, Rovelli, I, Saboo, K, Salam, R, Salim, M, Salomon, L, Sanchez, Luna M, Sande, J, Sarris, I, Savini, S, Sclowitz, IK, Seale, A, Shah, J, Sharps, M, Shembekar, C, Shen, YJ, Shorten, M, Signorile, F, Singh, A, Sohoni, S, Somani, A, Sorensen, TK, Soria- Frisch, A, Staines Urias, E, Stein, A, Stones, W, Taori, V, Tayade, K, Todros, T, Uauy, R, Varalda, A, Venkataraman, M, Victora, C, Villar, J, Vinayak, S, Waller, S, Walusuna, L, Wang, JH, Wang, L, Wanyonyi, S, Weatherall, D, Wiladphaingern, S, Wilkinson, A, Wilson, D, Wu, MH, Wu, QQ, Wulff, K, Yellappan, D, Yuan, Y, Zaidi, S, Zainab, G, Zhang, JJ, Zhang, Y, Fung, Russell, Villar, Jose, Dashti, Ali, Ismail, Leila Cheikh, Staines-Urias, Eleonora, Ohuma, Eric O, Salomon, Laurent J, Victora, Cesar G, Barros, Fernando C, Lambert, Ann, Carvalho, Maria, Jaffer, Yasmin A, Noble, J Alison, Gravett, Michael G, Purwar, Manorama, Pang, Ruyan, Bertino, Enrico, Munim, Shama, Min, Aung Myat, McGready, Rose, Norris, Shane A, Bhutta, Zulfiqar A, Kennedy, Stephen H, Papageorghiou, Aris T ^*, Ourmazd, Abbas ^{*, *}

Publikováno v: In The Lancet Digital Health July 2020 2(7):e368-e375

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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

Autor: Fung, Russell, Villar, Jose, Dashti, Ali, Ismail, Leila Cheikh, Staines-Urias, Eleonora, Ohuma, Eric O, Salomon, Laurent J, Victora, Cesar G, Barros, Fernando C, Lambert, Ann, Carvalho, Maria, Jaffer, Yasmin A, Noble, J Alison, Gravett, Michael G, Purwar, Manorama, Pang, Ruyan, Bertino, Enrico, Munim, Shama, Min, Aung Myat, McGready, Rose, Norris, Shane A, Bhutta, Zulfiqar A, Kennedy, Stephen H, Papageorghiou, Aris T, Ourmazd, Abbas, Norris, S, Abbott, SE, Abubakar, A, Acedo, J, Ahmed, I, Al-Aamri, F, Al-Abduwani, J, Al-Abri, J, Alam, D, Albernaz, E, Algren, H, Al-Habsi, F, Alija, M, Al-Jabri, H, Al-Lawatiya, H, Al-Rashidiya, B, Altman, DG, Al-Zadjali, WK, Andersen, HF, Aranzeta, L, Ash, S, Baricco, M, Barros, FC, Barsosio, H, Batiuk, C, Batra, M, Berkley, J, Bertino, E, Bhan, MK, Bhat, BA, Bhutta, ZA, Blakey, I, Bornemeier, S, Bradman, A, Buckle, M, Burnham, O, Burton, F, Capp, A, Cararra, VI, Carew, R, Carrara, VI, Carter, AA, Carvalho, M, Chamberlain, P, Cheikh, Ismail L, Cheikh Ismail, L, Choudhary, A, Choudhary, S, Chumlea, WC, Condon, C, Corra, LA, Cosgrove, C, Craik, R, da Silveira, MF, Danelon, D, de Wet, T, de Leon, E, Deshmukh, S, Deutsch, G, Dhami, J, Di, Nicola P, Dighe, M, Dolk, H, Domingues, M, Dongaonkar, D, Enquobahrie, D, Eskenazi, B, Farhi, F, Fernandes, M, Finkton, D, Fonseca, S, Frederick, IO, Frigerio, M, Gaglioti, P, Garza, C, Gilli, G, Gilli, P, Giolito, M, Giuliani, F, Golding, J, Gravett, MG, Gu, SH, Guman, Y, He, YP, Hoch, L, Hussein, S, Ibanez, D, Ioannou, C, Jacinta, N, Jackson, N, Jaffer, YA, Jaiswal, S, Jimenez-Bustos, JM, Juangco, FR, Juodvirsiene, L, Katz, M, Kemp, B, Kennedy, S, Ketkar, M, Khedikar, V, Kihara, M, Kilonzo, J, Kisiang'ani, C, Kizidio, J, Knight, CL, Knight, HE, Kunnawar, N, Laister, A, Lambert, A, Langer, A, Lephoto, T, Leston, A, Lewis, T, Liu, H, Lloyd, S, Lumbiganon, P, Macauley, S, Maggiora, E, Mahorkar, C, Mainwaring, M, Malgas, L, Matijasevich, A, McCormick, K, McGready, R, Miller, R, Min, A, Mitidieri, A, Mkrtychyan, V, Monyepote, B, Mota, D, Mulik, I, Munim, S, Muninzwa, D, Musee, N, Mwakio, S, Mwangudzah, H, Napolitano, R, Newton, CR, Ngami, V, Noble, JA, Norris, S, Norris, T, Nosten, F, Oas, K, Oberto, M, Occhi, L, Ochieng, R, Ohuma, EO, Olearo, E, Olivera, I, Owende, MG, Pace, C, Pan, Y, Pang, RY, Papageorghiou, AT, Patel, B, Paul, V, Paulsene, W, Puglia, F, Purwar, M, Rajan, V, Raza, A, Reade, D, Rivera, J, Rocco, DA, Roseman, F, Roseman, S, Rossi, C, Rothwell, PM, Rovelli, I, Saboo, K, Salam, R, Salim, M, Salomon, L, Sanchez, Luna M, Sande, J, Sarris, I, Savini, S, Sclowitz, IK, Seale, A, Shah, J, Sharps, M, Shembekar, C, Shen, YJ, Shorten, M, Signorile, F, Singh, A, Sohoni, S, Somani, A, Sorensen, TK, Soria- Frisch, A, Staines Urias, E, Stein, A, Stones, W, Taori, V, Tayade, K, Todros, T, Uauy, R, Varalda, A, Venkataraman, M, Victora, C, Villar, J, Vinayak, S, Waller, S, Walusuna, L, Wang, JH, Wang, L, Wanyonyi, S, Weatherall, D, Wiladphaingern, S, Wilkinson, A, Wilson, D, Wu, MH, Wu, QQ, Wulff, K, Yellappan, D, Yuan, Y, Zaidi, S, Zainab, G, Zhang, JJ, Zhang, Y

Publikováno v: The Lancet Digital Health; July 2020, Vol. 2 Issue: 7 pe368-e375, 8p

Managing data for the international, multicentre INTERGROWTH-21st Project

Autor: Ohuma, Eo, Hoch, L, Cosgrove, C, Knight, He, Cheikh Ismail, L, Juodvirsiene, L, Papageorghiou, At, Al Jabri, H, Domingues, M, Gilli, P, Kunnawar, N, Musee, N, Roseman, F, Carter, A, Wu, M, Altman, Dg, International, Fetal, Collaborators:, Newborn Growth Consortium for the 21st C. e. n. t. u. r. y., Todros, Tullia, Bertino, Enrico

Publikováno v: BJOG : an international journal of obstetrics and gynaecology. 120

The INTERGROWTH-21st Project data management was structured incorporating both a centralised and decentralised system for the eight study centres, which all used the same database and standardised data collection instruments, manuals and processes. E

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http://ora.ox.ac.uk/objects/uuid:2a23cc18-3b2c-4e44-a1f1-08d65ebd6e97

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