Results 171 to 180 of about 7,921,142 (232)

Advancements in Animal Breeding: From Mendelian Genetics to Machine Learning. [PDF]

Int J Mol Sci
Panigrahi M, Rajawat D, Nayak SS, Bose A, Bharia N, Singh S, Sharma A, Dutt T.   +7 more
europepmc   +1 more source

Authors' Reply: Predicting the Emergency Department Patient Journey Using a Machine Learning Approach. [PDF]

JMIR AI
Patel D, Klang E, Timsina P.
europepmc   +1 more source

Accurate diagnosis of hemoglobinopathies with machine learning based on high-throughput proteomics. [PDF]

Hemasphere
Wei S, Nielsen AB, Helby J, Drici L, Rasmussen C, Wang J, Mann M, Petersen J, Wewer Albrechtsen NJ, Glenthøj A.   +9 more
europepmc   +1 more source

Machine Learning to Diagnose Complications of Diabetes. [PDF]

J Diabetes Sci Technol
Scheideman AF, Shao MM, Zelada H, Cuadros J, Foreman J, Sarder P, Ho C, Ejskjaer N, Fleischer J, Cichosz SL, Armstrong DG, Mathioudakis N, Wang T, Tham YC, Klonoff DC.   +14 more
europepmc   +1 more source

Machine Learning and Arrhythmia: Advances in Atrial Fibrillation Detection and Management. [PDF]

Curr Atheroscler Rep
Yazdi V, Kadiyala V, Chugh SS.
europepmc   +1 more source

SensorAI: A Machine Learning Framework for Sensor Data. [PDF]

Sensors (Basel)
Coshatt S, Yang H, Wu S, Ye J, Ma P, Song W.   +5 more
europepmc   +1 more source

Machine learning in Alzheimer's disease genetics. [PDF]

Nat Commun
Bracher-Smith M, Melograna F, Ulm B, Bellenguez C, Grenier-Boley B, Duroux D, Nevado AJ, Holmans P, Tijms BM, Hulsman M, de Rojas I, Campos-Martin R, der Lee SV, Castillo A, Küçükali F, Peters O, Schneider A, Dichgans M, Rujescu D, Scherbaum N, Deckert J, Riedel-Heller S, Hausner L, Molina-Porcel L, Düzel E, Grimmer T, Wiltfang J, Heilmann-Heimbach S, Moebus S, Tegos T, Scarmeas N, Dols-Icardo O, Moreno F, Pérez-Tur J, Bullido MJ, Pastor P, Sánchez-Valle R, Álvarez V, Boada M, García-González P, Puerta R, Mir P, Real LM, Piñol-Ripoll G, García-Alberca JM, Rodriguez-Rodriguez E, Soininen H, Heikkinen S, de Mendonça A, Mehrabian S, Traykov L, Hort J, Vyhnalek M, Sandau N, Thomassen JQ, Pijnenburg YAL, Holstege H, van Swieten J, Ramakers I, Verhey F, Scheltens P, Graff C, Papenberg G, Giedraitis V, Williams J, Amouyel P, Boland A, Deleuze JF, Nicolas G, Dufouil C, Pasquier F, Hanon O, Debette S, Grünblatt E, Popp J, Ghidoni R, Galimberti D, Arosio B, Mecocci P, Solfrizzi V, Parnetti L, Squassina A, Tremolizzo L, Borroni B, Wagner M, Nacmias B, Spallazzi M, Seripa D, Rainero I, Daniele A, Piras F, Masullo C, Rossi G, Jessen F, Kehoe P, Magda T, Sánchez-Juan P, Sleegers K, Ingelsson M, Hiltunen M, Sims R, van der Flier W, Andreassen OA, Ruiz A, Ramirez A, EADB, Frikke-Schmidt R, Amin N, Roshchupkin G, Lambert JC, Van Steen K, van Duijn C, Escott-Price V.   +112 more
europepmc   +1 more source

Assessment of technical water quality in mining based on machine learning methods

Yadviga Tynchenko, В В Кукарцев, Alexey Gladkov, Tatyana Panfilova   +3 more
openalex   +1 more source